Adams, ED, Haley, RP & Ni, W 1996, 'Comment on “Nuclear Magnetic Ordering of3He Clusters in Solid4He”', Physical Review Letters, vol. 77, no. 26, pp. 5308-5308.
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Boyce, RR, Morton, JW, Houwing, AFP, Mundt, C & Bone, DJ 1996, 'Computational fluid dynamics validation using multiple interferometric views of a hypersonic flowfield', Journal of Spacecraft and Rockets, vol. 33, no. 3, pp. 319-325.
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Brichet, F, Roberts, J, Simonian, A & Veitch, D 1996, 'Heavy traffic analysis of a storage model with long range dependent On/Off sources', Queueing Systems, vol. 23, no. 1-4, pp. 197-215.
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Burnett, IS & Gambino, PMB 1996, 'Pitch detection based on prototype waveforms', Proceedings of the International Symposium on Signal Processing and its Applications, ISSPA, vol. 1, pp. 73-76.
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This paper describes a pitch detection algorithm which builds on the `Composite Autocorrelation' method. By explicitly considering `prototype' waveforms within the constituent autocorrelation computations, and detecting the pitch at frequent (5 ms) intervals, the algorithm produces a robust and continuous pitch track. This leads to a reduced-delay algorithm that overcomes many of the difficulties encountered when using autocorrelation-based techniques in Prototype Waveform (PW) / Waveform Interpolation (WI) coders. In particular, the technique is able to rapidly track the onsets of voiced and unvoiced speech sections. The algorithm is also able to maintain track for both high and low pitch speakers with promising results at this reduced delay.
Burnett, IS & Parry, JJ 1996, 'On the effects of accent and language on low rate speech coders', Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96, vol. 1, pp. 291-294.
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Esteban, L & Hoang, D 1996, 'The connection array for image summarisation', Mathematics and Computers in Simulation, vol. 41, no. 1-2, pp. 75-86.
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The connection array is a very dense and very fast summarisation of a bitmap. The data structure contains information that is useful for classification, recognition and image searching. It is calculated during the image production stage of a recognition system and holds the following information for objects in a scene: object shape, containment, relative placement, and numerical data like area and perimeter. The connection array is an efficient structure for storing object features and it is effective in all stages of a recognition process.
Funaki, K, Miyanaga, Y & Tochinai, K 1996, 'A time-varying ARMAX speech analysis method based on the glottal source model', The Journal of the Acoustical Society of America, vol. 100, no. 4_Supplement, pp. 2602-2602.
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Human speech production is usually modeled by an AR process with an impulse or white Gauss process input, such as in LPC analysis. But it is well known that a vocal tract feature provides an antiformant in addition to a formant frequency, and a voiced source of human speech contains a glottal source as well as noise characteristics. In order to represent speech production efficiently, a time-varying ARMAX (ARMA with eXogeneous input) model with a glottal source model is introduced. This model provides two MA processes, one for the white Gauss input and the other for the exogeneous input, which is generated by the glottal source model. A new speech analysis method is proposed that is based on the speech production model to extract speech characteristics accurately. In the proposed method, the Rosenberg–Klatt (RK) model [Klatt et al., J. Acoust. Soc. Am. 87, 820–857 (1990)] is adopted to generate a glottal wave. The glottal source and ARMAX parameters are estimated pitch synchronously and simultaneously, so as to optimize error criterion jointly by using an adaptive MIS method [Miyanaga et al., IEEE Trans. Acoust. Speech Signal Process. ASSP-34, 423–433] in ARMAX identification. Experiments have already been conducted using synthetic speech, which is generated by an ARMAX process with the RK model glottal source and a white Gauss input. The experimental result shows that the proposed method makes it possible to estimate accurate vocal tract and voice source characteristics (such as open quotient) from the speech signal.
Gambino, PMB & Burnett, IS 1996, 'Low delay pitch detection using dynamic-programming/Viterbi techniques', Proceedings of the International Symposium on Signal Processing and its Applications, ISSPA, vol. 1, pp. 77-80.
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An algorithm for the detection of the Fundamental Pitch Period (F 0) at low delay, utilizing Dynamic Programming (DP) Techniques and those of the Viterbi Algorithm (VA) is presented. The algorithm results in a low delay, accurate pitch detector which is vital for low rate speech coders, such as those utilizing Prototype Waveform Interpolation (PWI) techniques. Current methods, based on autocorrelation incur a significant look-ahead delay and are therefore considered unsuitable for use in such speech coders. The algorithm described uses improved, non-linear Pitch Detection, with a substantial extension of a Viterbi-type tracking algorithm to maintain a smooth pitch track.
Glover, BM, Ishizuka, Y, Jeyakumar, V & Tuan, HD 1996, 'Complete Characterizations of Global Optimality for Problems Involving the Pointwise Minimum of Sublinear Functions', SIAM Journal on Optimization, vol. 6, no. 2, pp. 362-372.
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Necessary and sufficient global optimality conditions are presented for certain nonconvex minimization problems subject to inequality constraints that are expressed as the pointwise minimum of sublinear (MSL) functions. A generalized Farkas lemma for ine
Guan, L 1996, 'Adaptive scaled mean square error filtering by neural networks', Journal of Electronic Imaging, vol. 5, no. 4, pp. 460-460.
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Guo, YJ, Paez, A, Sadeghzadeh, RA & Barton, SK 1996, 'A patch antenna for HIPERLAN', Wireless Personal Communications, vol. 3, no. 4, pp. 389-396.
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A patch antenna suited for indoor HIPERLAN is presented. The antenna operates in T M 02 mode and its radiation pattern is omnidirectional in azimuth and has a null in the normal direction. An experimental prototype has been designed and tested. A 6.1 % bandwidth of VSWR ≤ 2 and 4.2 dB antenna gain were measured at 5 GHz band. © 1996 Kluwer Academic Publishers.
Imai, H, Miyanaga, Y & Tochinai, K 1996, 'Nonlinear spectrum estimation using a new neural network with a level estimator', The Journal of the Acoustical Society of America, vol. 100, no. 4_Supplement, pp. 2575-2575.
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This paper proposes a new nonlinear signal processing by using a three-layered network which is trained with self-organized clustering and supervised learning. The network consists of three layers, i.e., a self-organized layer, an evaluation layer, and an output layer. Since the evaluation layer is designed as a simple perceptron network and the output layer is designed as the fixed weight linear nodes, the training complexity is the same as the self-organized clustering and a simple perceptron network. In other words, quite high speed training can be realized. Generally speaking, since the data range usually used in signal processing is arbitrarily large, the network output should also cover this range. However, it may be difficult for only one node in the network to output these data. Instead of this technique, if this dynamic range is covered by using several nodes, the complexity of each node is reduced and the associated range is also quite limited. This results in a higher performance of this network than the conventional ones. As one of the objectives, this paper introduces the spectrum envelope estimation of speech waveforms. It is shown that accurate spectrum envelopes can be obtained.
Ishizuka, Y & Tuan, HD 1996, 'Directionally differentiable multiobjective optimization involving discrete inclusions', Journal of Optimization Theory and Applications, vol. 88, no. 3, pp. 585-616.
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Kondo, M, Miyanaga, Y & Tochinai, K 1996, 'Dynamic network for identification of character locations using self‐organized clustering', Electronics and Communications in Japan (Part III: Fundamental Electronic Science), vol. 79, no. 7, pp. 11-21.
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AbstractThis paper proposes a new network that evaluates the locations of targets, i.e., target characters, and recognizes them in an image mixed with other objects, i.e., noncharacters. This network consists of a self‐organized clustering layer, a simple perceptron layer, and a controller. The purpose of the self‐organized clustering is to evaluate the stochastic characteristics of an input data set; the self‐organization is executed by calculating the distance between stochastic characteristics in this layer and the stochastic characteristics of an input vector. The simple perceptron layer determines the location of a target character and simultaneously recognizes its character by linearly dividing all outputs given from the self‐organized clustering layer. In the proposed system, the location identification and its recognition of a target character can be adaptively performed by using two small different compensative networks. The location identification and its recognition of real target characters, which are obtained in printed boards, are also shown in this paper.
Li, Y, Miyanaga, Y & Tochinai, K 1996, 'Memorizing and regenerating spatiotemporal patterns with a structured recurrent neural network', Electronics and Communications in Japan (Part III: Fundamental Electronic Science), vol. 79, no. 8, pp. 65-73.
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AbstractA local connected recurrent neural network with the ability to memorize and regenerate some nonlinear complex dynamics is proposed in this paper and a new learning algorithm for this network is also developed. the network, constructed of adaptive oscillating modules, is easily applied to the realization of nonlinear dynamics. the module consists of two simple neuron nodes with recurrent connections. the new learning algorithm can independently train each module with suitable speed for given input data. the network size is also adaptively determined during the learning process. This network also has a suitable structure of a parallel VLSI system. Finally, some simulation results are given to verify the effectiveness on the proposed network structure and the learning algorithm.
Miyanaga, Y & Tochinai, K 1996, 'High‐speed and high‐accuracy learning using a self‐organization network and a supervised network', Electronics and Communications in Japan (Part III: Fundamental Electronic Science), vol. 79, no. 7, pp. 41-50.
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AbstractThis paper introduces a feedforward network with a new learning algorithm into which both a self‐organized mechanism and a supervised training mechanism are implemented. In particular, from some experiments, it is seen that this network can realize sophisticated signal processing and analysis data with high‐speed training ability. the network is divided into two layers, that is, a self‐organized layer and a supervised layer. However, in the self‐organized layer, the training data of the network also are used for realizing high precision. In addition, the supervised layer also is trained in order to realize quite high accuracy for data recognition. In other words, the training data are used for both layers. Accordingly, the total precision of the network is improved greatly. In addition, the high‐speed organization and the parallel processing which are embedded in the original self‐organization also are realized in the new network.In this paper, some comparisons in which conventional neural networks, i.e., multilayer perceptron and self‐organization models, are used also are shown. In particular, as a new application of speech ARMA modelling, a new spectrum envelope estimation is explained by using this network.
Nakagaki, A, Shibata, K, Miyanaga, Y & Tochinai, K 1996, 'Adaptive spectrum estimation considering the time variation in analysis intervals', Electronics and Communications in Japan (Part III: Fundamental Electronic Science), vol. 79, no. 12, pp. 38-47.
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AbstractIn spectrum estimation of nonstationnary signals, the modeling of time‐varying characteristics and the parameter estimation of the model are important. Several adaptive estimation methods such as the recursive least‐squares (RLS) method are often used for parameter estimation of time‐varying models. However, the RLS method becomes less efficient for rapidly time‐varying models because this method assumes short‐time stationarity. This paper proposes an adaptive estimation method of time‐varying parameters modeled as linear combinations of a set of basis functions. In this method, linear or exponential time functions. In this method, linear or exponential time functions are employed as basis functions. This algorithm is relaized by the RLS algorithm with a rectangular window and a procedure that shifts basis functions. In some experiments, the performance of the proposed method is compared with that of the conventional method with short‐time stationarity assumed.
ONO, E, HOSOE, S, TUAN, HD & HAYASHI, Y 1996, 'NonlinearH∞Control of Active Suspension', Vehicle System Dynamics, vol. 25, no. sup1, pp. 489-501.
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Perry, SW & Guan, L 1996, 'A Partitioned Modified Hopfield Neural Network Algorithm for Real-Time Image Restoration', Real-Time Imaging, vol. 2, no. 4, pp. 215-224.
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Pham, DH & Burnett, IS 1996, 'Quantisation techniques for Prototype Waveforms', ISSPA 96 - FOURTH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, PROCEEDINGS, VOLS 1 AND 2, vol. 1, pp. 53-56.
Sawamura, S, Kanda, H, Miyanaga, Y & Tochinai, K 1996, 'Maximum likelihood estimation of multiple sources using a local optimization method', Electronics and Communications in Japan (Part III: Fundamental Electronic Science), vol. 79, no. 11, pp. 14-24.
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AbstractAn effective method for solving a nonlinear optimizing problem is proposed here. This method is based on the maximum likelihood estimation of multiple sources by passive sensor array. The method employs the local optimization using the gradient of nonlinear function. Also described is how to determine the effective initial values leading to the global minimum but not to the local minimum. The proposed method in this paper easily obtained the optimized estimate of the maximum likelihood in multiple sources. This estimation usually requires great processing time using conventional methods because of a heavy computing load. Some simulations show that the proposed method has the properties of both better accuracy and lower computing time than a conventional method.
Shimizu, J, Miyanaga, Y & Tochinai, K 1996, 'A cascade lattice IIR adaptive filter for total least squares problem', IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, vol. E79A, no. 8, pp. 1151-1156.
Shimizu, J, Miyanaga, Y & Tochinai, K 1996, 'Signal enhancement using a robust adaptive total least squares algorithm.', Journal of the Acoustical Society of Japan (E), vol. 17, no. 6, pp. 285-293.
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An adaptive enhancement algorithm of signal disturbed by the impulse noise and the white Gaussian noise is proposed in this paper. If the strong dependence between signal enhancement and needed-parameter estimation exists in an algorithm, it is difficult to reduce a large bias occurring in the first estimation. To weaken their relationship, it is considered to introduce a total least squares (TLS) algorithm which estimates model parameters directly from disturbed signals. However, the TLS estimation accuracy is dramatically deteriorated by the impulse noise, even if the TLS estimation accuracy is held to the non-Gaussian noise in some degree. Hence, we ensure the robustness of the algorithm by replacing a high amplitude signal with an estimated value based on a likelihood ratio test. Using these signals, we develop an algorithm based on the TLS and the EM algorithm for enhancing the disturbed signal. We also show the effectiveness of the proposed algorithm through computer simulations.
Shimizu, J, Miyanaga, Y & Tochinai, K 1996, 'Tracking capability and floating‐point error analysis in multirate complex recursive weighted least squares algorithm', Electronics and Communications in Japan (Part III: Fundamental Electronic Science), vol. 79, no. 3, pp. 11-22.
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AbstractThis paper presents an analysis of a multirate complex recursive weighted least squares (MC‐RLS) algorithm based on an analytic signal. Conventional adaptive filters for multiple sinusoid extraction have been based on lattice filter structures or gradient methods because of their low computational cost and/or low sensitivity to quantization errors. On the other hand, the RLS algorithm is easy to introduce assuming time‐variant quantities in the algorithm when sinusoid frequencies have the time‐varying property. However, the relationship between the tracking capability and the quantization error of the least‐squares (LS) algorithm in the transversal structure has not been reported. In addition, an improvement algorithm for these errors have not been reported. In this paper, we shall describe a new RLS algorithm in a transversal filter structure with a superior transient property, reduced sensitivity to quantization errors, and low computational cost. First, an analytic signal‐based autoregressive model is introduced and the MC‐RLS algorithm is shown. Then, using an excess mean‐square error of the MC‐RLS algorithm, the tracking capability shown to be unaffected by the analytic transform and the decimation. In addition, the floatingpoint error and the computational cost of the MC‐RLS algorithm are analyzed. It is shown that both floatingpoint error and computational cost are smaller than those of conventional RLS algorithms that use real signals.
Tellambura, C, Guo, YJ & Barton, SK 1996, 'Co-channel and self-interference analysis for indoor wireless channels', Wireless Personal Communications, vol. 3, no. 4, pp. 411-419.
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To achieve a user data rate of 20 Mbit/s in the high performance local area network (HIPERLAN) system operating in indoor environments, channel equalization must be used to mitigate the effects of multipath propagation. If, however, the indoor channel impulse response length is too long, then the multipath power outside of the equalisation capability of the equalizer acts as a form of self interference. Moreover, co-channel interference may also be present at the detector input. Considering these two effects as well as the rms delay spread, this paper derives analytical expressions for the probability of outage. © 1996 Kluwer Academic Publishers.
Tellambura, C, Guo, YJ & Barton, SK 1996, 'Equaliser Performance for HIPERLAN in indoor channels', Wireless Personal Communications, vol. 3, no. 4, pp. 397-410.
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In order to accomplish practical deployment modelling for system performance evaluation and comparison for possible modulation and equalisation schemes to be used in HIPERLAN, a wide band tapped delay line (WTDL) channel model has been adopted by ETSI to characterise the multipath fading in the indoor radio environment. Based on this statistical channel model, and using Monte Carlo method, this paper evaluates the average probability of error for linear and decision feedback equalisers as a function of signal-to-noise ratio. It also evaluates the matched filter bound for this channel model. The results show the optimum performance levels achievable via the use of any equaliser. © 1996 Kluwer Academic Publishers.
Tuan, HD 1996, 'On solution sets of nonconvex Darboux problems and applications to optimal control with endpoint constraints', The Journal of the Australian Mathematical Society. Series B. Applied Mathematics, vol. 37, no. 3, pp. 354-391.
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AbstractWe prove a continuous version of a relaxation theorem for the nonconvex Darboux problem xlt ε F(t, τ, x, xt, xτ). This result allows us to use Warga's open mapping theorem for deriving necessary conditions in the form of a maximum principle for optimization problems with endpoint constraints. Neither constraint qualification nor regularity assumption is supposed.
Tuan, HD & Hosoe, S 1996, 'Comments on consistency of quadratic forms', IEEE Transactions on Automatic Control, vol. 41, no. 8, pp. 1215-1216.
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Tuan, HD & Hosoe, S 1996, 'On linearization technique in robust nonlinear ∞ control', Systems & Control Letters, vol. 27, no. 1, pp. 21-27.
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Alkussayer, HM, Guo, YJ & Barton, SK 1970, 'Low-cost multi-user receiver for synchronous CDMA systems', Conference Record / IEEE Global Telecommunications Conference, pp. 1588-1591.
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The effect of noise enhancement of the linear decorrelating detector (LDD) is investigated by studying a low complexity receiver for synchronous Code Division Multiple Access (CDMA) systems. Using Gold codes as the spreading sequences a general formula of the decorrelating matrix is obtained, which leads to a simplified receiver structure and explicit expression of the bit error ratio (BER). It is shown that even with multiple access interference (MAI) reduced, the BER of the system is still dependent on the bandwidth efficiency. For a given bandwidth, efficiency, the system performance improves when the processing gain is increased.
Alkussayer, HM, Zheng, FC, Guo, YJ & Barton, SK 1970, 'Time diversity decorrelator (TDD); a near-far resistant detector for asynchronous CDMA system', IEEE Vehicular Technology Conference, pp. 564-568.
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In this paper a near-far resistance detector for asynchronous Code-Division Multiple-Access (CDMA) systems operating in Additive White Gaussian Noise (AWGN) channels is presented. The multi-user interference caused by K users transmitting simultaneously, each with a specific signature sequence, is completely removed at the receiver. The complexity of this detector grows only linearly with the number of users, as compared to the optimum multi-user detector which requires exponential complexity in the number of users. A modified algorithm based on time diversity is described. It performs detection on a bit-by-bit basis and overcomes the complexity of using a sequence detector. The performance of this detector is shown to be superior to that of the conventional receiver.
Brookes, W & Indulska, J 1970, 'Teaching internet literacy to a large and diverse audience', Proceedings of the second Australasian conference on Computer science education - ACSE '97, the second Australasian conference, ACM Press, pp. 7-15.
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© 1997 ACM. Very large and diverse audiences pose a variety of problems for lecturers and students alike [l]. This paper presents an approach used in the School of Information Technology at The University of Queensland to teach an Internet literacy course to a diverse student audience. The course provides an introduction to computer networks and teaches students from various university faculties how to effectively use a variety of Internet services. The subject integrates efforts on teaching Internet literacy at the university in order to minimise teaching effort and to maximise quality of teaching. The paper discusses the variety of means deployed in order to provide a flexible, self-directed learning environment for the course. This led to: The inclusion of QUIKF'ro!, a specially developed Computer Based Training package on Internet services and resources; providing easy access to learning materials from campus or from home; and using innovative assessment methods which aim at improving the process and quality of assessment. Assessment was carried out online and used anonymous assessment, peer assessment and criterion-referenced marking.
Burnett, IS & Parry, JJ 1970, 'On the effects of accent and language on low rate speech coders', International Conference on Spoken Language Processing, ICSLP, Proceedings, pp. 291-294.
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Telecommunications networks are exposed to a plethora of accents and languages. Fundamental to current and future systems are low rate speech coders. This paper examines the problems associated with speech coding of different languages and accents. Our investigations show that most low-rate (8 kb/s and below) speech coders show bias towards non-accented English. When the coders are used for heavily accented English or other languages, significant performance degradation is noted. This paper examines the reasons for such variations and some approaches for improving coder performance.
Cucchiara, R & Piccardi, M 1970, 'DARPA benchmark image processing on SIMD parallel machines', Proceedings of 1996 IEEE Second International Conference on Algorithms and Architectures for Parallel Processing, ICA/sup 3/PP '96, 1996 IEEE Second International Conference on Algorithms and Architectures for Parallel Processing, ICA/sup 3/PP '96, IEEE, SINGAPORE, SINGAPORE, pp. 171-178.
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Cucchiara, R & Piccardi, M 1970, 'Detection of luminosity profiles of elongated shapes', Proceedings of 3rd IEEE International Conference on Image Processing, 3rd IEEE International Conference on Image Processing, IEEE, LAUSANNE, SWITZERLAND, pp. 635-638.
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Fuente, MP, Guo, YJ & Barton, SK 1970, 'New scheme for direct sequence spread spectrum radio LANs', IEEE International Symposium on Spread Spectrum Techniques & Applications, pp. 1320-1324.
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A new direct sequence spread spectrum scheme for ISM band Radio Local Area Networks using BPSK modulation and matched filter receivers is presented. It employs an optimized 22-chip sequence whose two 11-chip segments are alternately used as spreading sequences for adjacent symbols. Owing to the low cross-correlation between the two 11-chip segments, the inter-symbol interference caused by long delays in multipath channels is significantly reduced. In the paper, a receiver structure using the optimized sequence and time diversity is described and simulation results are given. Compared with the schemes using the short 11-chip Barker code and long M-sequences, the new scheme offers superior system performance.
Haley, RP, Ni, W & Adams, ED 1970, 'Melting curve of3He droplets in phase-separated3He-4He mixtures', Czechoslovak Journal of Physics, 21st International Conference on Low Temperature Physics (LT 21), Springer Science and Business Media LLC, CZECH REPUBLIC, PRAGUE, pp. 477-478.
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Hoang, DB & James, MR 1970, 'AMI: A model of intelligence', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Berlin Heidelberg, pp. 181-192.
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© Springer-Verlag Berlin Heidelberg 1996. It is reasonable to say that so far neural networks have performed very well on many specific tasks of reasonable size, but their performance is far from satisfactory when applied to realistic but complex tasks such speech recognition and language processing. Yet the brain can perform these tasks efficiently and effortlessly (seemingly) using its optimized mechanisms. It is believed crucial to discover these mechanisms. In this paper, a neural network model of the isocortex as basic building block of intelligent systems is consolidated. The model incorporates mechanisms extracted from cortical circuit as suggested from the study of neuroanatomy. The learning rule compatible with what is known about synaptic adaptation in the neocortex is introduced. Simulations results, which verify the mathematical proof of the model stability and robustness, are presented.
Horita, E, Nishikawa, K & Miyanaga, Y 1970, 'A fast recursive least-squares with a weighting factor based an a 2-D NSHP AR model and its application to spectral estimation', 1996 IEEE Digital Signal Processing Workshop Proceedings, 1996 IEEE Digital Signal Processing Workshop Proceedings, IEEE, LOEN, NORWAY, pp. 339-342.
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Miyanaga, Y, Motoyoshi, K & Tochinai, K 1970, 'Recognition of three dimensional objects using a directional coupled neural network', 1996 IEEE Digital Signal Processing Workshop Proceedings, 1996 IEEE Digital Signal Processing Workshop Proceedings, IEEE, LOEN, NORWAY, pp. 259-262.
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Ono, E, Hosoe, S, Tuan, HD & Doi, S 1970, 'Robust stabilization of vehicle dynamics by active front wheel steering control', Proceedings of the IEEE Conference on Decision and Control, 35th IEEE Conference on Decision and Control, I E E E, KOBE, JAPAN, pp. 1777-1782.
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A control strategy of the active front wheel steering system is presented to protect the vehicle from spin and to realize improved cornering performance. Vehicle spin behavior is analyzed using bifurcation theory. The saturation characteristics of rear tires are modeled by a linear function with uncertainty terms of a special structure. The vehicle unstability is caused by a saddle-node bifurcation and depends heavily on the rear tire side force saturation.
Peng, M, Guo, YJ & Barton, SK 1970, 'One-shot linear decorrelating detector for asynchronous CDMA', Conference Record / IEEE Global Telecommunications Conference, pp. 1301-1305.
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A one-shot linear decorrelating detector(LDD) for the detection of asynchronous CDMA is presented. By treating every user as two independent users and using maximal ratio combining, a bit-by-bit detection is obtained. By applying a phase estimation algorithm on the output of the one-shot LDD, it is shown that the proposed detector can be used for the detection of asynchronous CDMA without the knowledge of carrier phase of any user. Simulation results show that the performance of the proposed detector approaches that of the optimum detector for single user transmission.
Purchase, H, Hussey, A, Brookes, W & Leadbetter, D 1970, 'Fostering interest in information technology', Proceedings of the second Australasian conference on Computer science education - ACSE '97, the second Australasian conference, ACM Press, pp. 126-134.
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© 1997 ACM. Fostering an interest in Information Technology (IT) in school students is important both for the IT industry and for universities: We therefore enthusiastically welcomed the opportunity to hold an Information Technology vacation school for year 12 students in April 1996. Initiated and sponsored by the Australian Computer Society and Rotary International, the school enabled 60 secondary students who were in the process of making decisions about tertiary study to spend three days participating in a variety of computer-related activities at The University of Queensland Department of Computer Science, and experiencing life as a university student. The students developed skills in programming in Smalltalk, and using information systems and Internet resources. In addition, they visited other departments on campus and companies in the city to see a variety of uses of IT. We hoped to give the students the opportunity to make an informed decision about their future careers. A follow-up survey in early 1997 revealed that 80% of the students felt that attendance at the school helped them with their post-school career decisions. This paper describes our experiences with running the school: The program, components, feedback, and future plans. It was a very rewarding and worthwhile experience: We hope that this paper will encourage other universities to attempt similar programs.
Wong, EPK, Guan, L & Perry, SW 1970, '<title>Neural network implementation of the SMSE filter for imaging processing</title>', SPIE Proceedings, Electronic Imaging: Science & Technology, SPIE, SAN JOSE, CA, pp. 77-85.
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