Cucchiara, R 2003, 'Improving data prefetching efficacy in multimedia applications', Multimedia Tools and Applications, vol. 20, no. 2, pp. 159-178.
View/Download from: Publisher's site
Cucchiara, R, Grana, C, Piccardi, M & Prati, A 2003, 'Detecting moving objects, ghosts, and shadows in video streams', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 10, pp. 1337-1342.
View/Download from: Publisher's site
Gefferth, A, Veitch, D, Maricza, I, Molnár, S & Ruzsa, I 2003, 'The nature of discrete second-order self-similarity', Advances in Applied Probability, vol. 35, no. 2, pp. 395-416.
View/Download from: Publisher's site
View description>>
A new treatment of second-order self-similarity and asymptotic self-similarity for stationary discrete time series is given, based on the fixed points of a renormalisation operator with normalisation factors which are not assumed to be power laws. A complete classification of fixed points is provided, consisting of the fractional noise and one other class. A convenient variance time function approach to process characterisation is used to exhibit large explicit families of processes asymptotic to particular fixed points. A natural, general definition of discrete long-range dependence is provided and contrasted with common alternatives. The closely related discrete form of regular variation is defined, its main properties given, and its connection to discrete self-similarity explained. Folkloric results on long-range dependence are proved or disproved rigorously.
Guo, S & Jia, W 2003, 'Edge Detection of Omnidirectional M-mode Echocardiography Images', Journal of Fuzhou University (Natural Science Edition), vol. 31, no. 5, pp. 539-543.
Hohn, N, Veitch, D & Abry, P 2003, 'Cluster processes: a natural language for network traffic', IEEE Transactions on Signal Processing, vol. 51, no. 8, pp. 2229-2244.
View/Download from: Publisher's site
Kim, Y & Braun, RM 2003, 'An equalizer and memory mapping predistorter for nonlinearly amplified signals transmitted by coded OFDM systems in multipath fading channel', WIRELESS PERSONAL COMMUNICATIONS, vol. 25, no. 2, pp. 101-115.
View/Download from: Publisher's site
View description>>
We present an improved channel equalizing scheme to be used in Coded OFDM systems over an ISI channel. The scheme uses Turbo Trellis Coded Modulation (TTCM) which retains a powerful error correction capability while elegantly incorporating turbo coding into the Trellis Coded Modulation (TCM). In OFDM over wireless communications, M-ary Quadrature Amplitude Modulation (M-QAM) schemes have been widely used to achieve high bandwidth efficiency. However, M-QAM signals require linear amplification to avoid spectral regrowth and severe performance degradation due to their large envelope fluctuations. Moreover, the OFDM transmitter shapes the signal with a linear pulse shaping filter. The combination of a linear filter with a High Power Amplifier (HPA) forms a nonlinear system with memory, which severely degrades performance. We propose an efficient one-tap-equalizer using a modified LMS algorithm and a novel adaptive predistortion technique to compensate for the nonlinear distortion caused by the high power amplifier cascaded with a linear filter in TTCM-OFDM systems. The performance of this method is compared with methods that have been used previously with OFDM. A computer simulation confirms that the proposed approach is superior to the conventional methods.
Piccardi, M & Jan, T 2003, 'Recent advances in computer vision', Industrial Physicist, vol. 9, no. 1, pp. 18-21.
View description>>
The advances in computer vision, which is a branch of artificial intelligence that focuses on providing computers with the functions typical of human vision is discussed. Computer vision has produced important application in fields such as robotics, biomedicine, industrial automation and satellite observation of Earth. The basic idea behind the use of computer vision in HCIs is that it can be instructed more naturally by human gestures than by using keyboard or mouse. The potentiality of computer vision in improving plant and public safety is attracting increasing attention in security concious community.
VEITCH, D, ABRY, P & TAQQU, MS 2003, 'ON THE AUTOMATIC SELECTION OF THE ONSET OF SCALING', Fractals, vol. 11, no. 04, pp. 377-390.
View/Download from: Publisher's site
View description>>
A method is developed for the automatic detection of the onset of scaling for long-range dependent (LRD) time series and other asymptotically scale-invariant processes. Based on wavelet techniques, it provides the lower cutoff scale for the regression that yields the scaling exponent. The method detects the onset of scaling through the dramatic improvement of a goodness-of-fit statistic taken as a function of this lower cutoff scale. It relies on qualitative features of the goodness-of-fit statistic and on features of the wavelet analysis. The method is easy to implement, appropriate for large data sets and highly robust. It is tested against 34 time series models and found to perform very well. Examples involving telecommunications data are presented.
Xiaojing Huang & Yunxin Li 2003, 'The PAM decomposition of CPM signals with integer modulation index', IEEE Transactions on Communications, vol. 51, no. 4, pp. 543-546.
View/Download from: Publisher's site
View description>>
This letter presents the solution for decomposing continuous-phase modulated (CPM) signals with integer modulation index into pulse-amplitude modulated components. The notion of main complex pulse is also introduced. A simplified demodulator for CPM signals with integer modulation index is proposed as an application example and simulation results using a quaternary 2 raised cosine (RC) scheme are given.
Zhang, J, Kennedy, RA & Abhayapala, TD 2003, 'Conditions and Performance of Ideal RAKE Reception for Ultra-Wideband Signals in Lognormal Fading Channels', International Journal of Wireless Information Networks, vol. 10, no. 4, pp. 193-200.
View/Download from: Publisher's site
Abolhasan, M & Wysocki, T 1970, 'Displacement Based Route Update Strategies for Proactive Routing Protocols in Mobile Ad Hoc Networks', Proceedings of the 7th International Symposium on Digital Signal Processing and Communication Systems (DSPCS03) and Proceedings of the the 2nd Workshop on the Internet, Telecommunications and Signal Processing (WITSP03), DSPCS03, University of Nebraska, Coolangatta, Qld., pp. 1-7.
View description>>
This paper presents a new route update strategy for performing proactive route discovery in Mobile Ad hoc Networks (MANETs). In this strategy, the rate at which route updates are sent into the network is controlled by how often a node changes its location by a required distance. We refer to this updating strategy as Minimum Displacement Update Routing (MDUR). We implemented MDUR on top of the Fisheye State Routing (FSR) protocol and investigated its performance by simulation. The simulations where performed in a number of different scenarios, with varied network mobility, density, traffic and boundary. Our results indicate that MDUR has lower levels of control overhead than FSR and achieves higher levels of throughput as the density and the level of traffic in the network is increased.
Duan, L-Y, Xu, M, Chua, T-S, Tian, Q & Xu, C-S 1970, 'A mid-level representation framework for semantic sports video analysis', Proceedings of the eleventh ACM international conference on Multimedia - MULTIMEDIA '03, the eleventh ACM international conference, ACM Press, pp. 33-44.
View/Download from: Publisher's site
View description>>
Sports video has been widely studied due to its tremendous commercial potentials. Despite encouraging results from various specific sports games, it is almost impossible to extend a system for a new sports game because they usually employ different sets of low-level features appropriate for the specific games and closely coupled with the use of game specific rules to detect events or highlights. There is a lack of internal representation and structure to be generic and applicable for many different sports. In this paper, we present a generic mid-level representation framework for semantic sports video analysis. The mid-level representation layer is introduced between the low-level audio-visual processing and high-level semantic analysis. It allows us to separate sports specific knowledge and rules from the low-level and mid-level feature extraction. This makes sports video analysis more efficient, effective, and less ad-hoc for various types of sports. To achieve robustness of the low-level feature analysis, a non-parametric clustering, mean shift procedure, has been successfully applied to both color and motion analysis. The proposed framework has been tested for five field-ball type sports covering duration of about 8 hours. Experiments have shown its robust performance in semantic analysis and event detection. We believe that the proposed mid-level representation framework can be used for event detection, highlight extraction, summarization and personalization of many types of sports video.
Duan, L-Y, Xu, M, Chua, T-S, Tian, Q & Xu, C-S 1970, 'A mid-level representation framework for semantic sports video analysis', Proceedings of the eleventh ACM international conference on Multimedia, MM03: 2003 11th Annual ACM International Conference on Multimedia, ACM.
View/Download from: Publisher's site
Duan, L-Y, Xu, M, Tian, Q & Xu, C-S 1970, 'Nonparametric color characterization using mean shift', Proceedings of the eleventh ACM international conference on Multimedia, MM03: 2003 11th Annual ACM International Conference on Multimedia, ACM, pp. 243-246.
View/Download from: Publisher's site
View description>>
Color is very useful in locating and recognizing objects that occur in artificial environments. The color histogram has shown its efficiency and advantages as a general tool for various applications, such as content-based image retrieval and video browsing, object indexing and location, and video segmentation. However, due to the lack of any spatial and context information, the histogram is not robust and effective for color characterization (e.g. dominant color) in large video databases. In this paper, we propose a nonparametric color characterization model using mean shift procedure, with an emphasis on spatio-temporal consistency. Experimental results suggest that the color characterization model is much more effective for video indexing and browsing, particularly in the domain of structured video (e.g. sports video).
Gunes, H, Piccardi, M & Jan, T 1970, 'Performance evaluation of an automated classifier of female facial beauty', CISST'03: PROCEEDING OF THE INTERNATIONAL CONFERENCE ON IMAGING SCIENCE, SYSTEMS AND TECHNOLOGY, VOLS 1 AND 2, International Conference on Imaging Science, Systems and Technology (CISST 03), C S R E A PRESS, LAS VEGAS, NV, pp. 652-656.
He, S, Wu, Q, Liu, D & Zheng, L 1970, 'A Distributed and Parallel Edge Detection Scheme within Spiral Architecture', Proceedings of the Third IASTED International Conference on Visualisation, Imaging and Image Processing, IASTED International Conference on Visualisation, Imaging and Image Processing, ACTA Press, Benalmadena, Spain, pp. 371-375.
He, X, Wu, Q, Hintz, T & Wang, H 1970, 'Faster and more accurate edge detection on Spiral Architecture', Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST, International Conference Imaging Science, Systems and Technology, CSREA Press, Las Vegas, USA, pp. 186-191.
View description>>
In this paper, a parallel and distributed algorithm on Spiral Architecture for edge- detection is proposed. The proposed algorithm is based on Master-Slave model. The master node uniformly separates an image using a Spiral Multiplication and sends each slave node a sub-image. Each slave node performs edge detection on the sub-image based on the gradient of image brightness function. Image noise is suppressed by a convolution with Gaussian kerne! before edge points are detected. The gradient consists of three components in three diagonal directions. This detection scheme guarantees a well-balancing load among the slave nodes. Its processing speed is greatly reduced through simultaneous and parallel processes on sub-images. Its accuracy is enhanced by a better approximation of the gradient component.
Hintz, T & Wu, Q 1970, 'Image compression on Spiral Architecture', Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST, International Conference Imaging Science, Systems and Technology, CSREA Press, Las Vegas, USA, pp. 201-204.
View description>>
Spiral Architecture is a new and powerful approach to a general-purpose machine vision system. Earlier research on the Spiral Architecture focused on the properties of undistorted translation, rotation and scaling. The research reported here uses the properties of the pixel address labelling scheme. The property of interest is the physical proximity of the hexagonal pixels with neighbouring addresses. Rectangular systems may, for instance, have vertical physically adjacent pixels but the address distance is the length of a scan line. It is demonstrated that in the Spiral Architecture, unlike the rectangular system, many images have the property that neighbouring pixels have similar intensities thus giving opportunities for better compression.
Hohn, N & Veitch, D 1970, 'Inverting sampled traffic', Proceedings of the 2003 ACM SIGCOMM conference on Internet measurement - IMC '03, the 2003 ACM SIGCOMM conference, ACM Press, ACM, pp. 222-233.
View/Download from: Publisher's site
Hohn, N, Veitch, D & Abry, P 1970, 'The impact of the flow arrival process in Internet traffic', Acoustics, Speech, and Signal Processing, 2003. Proceedings.(ICASSP’03). 2003 IEEE International Conference on, IEEE, pp. VI-37.
Hohn, N, Veitch, D & Abry, P 1970, 'The impact of the flow arrival process in Internet traffic', ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 37-40.
View description>>
Internet packet data is analysed to determine the relationship between the arrival process of packets, and of TCP flows of packets. Viewed as point processes, second order properties of the two processes are studied using wavelets, and each is found to have long-range dependence. A new result is given directly linking flow durations to the onset scale of the long range dependence in the flow process. Using this result a mechanism is described whereby the flow level structure could in principle influence the packet level structure, and it is shown and explained why this is not the case currently. The circumstances under which the flow structure could impact on the packet process, and therefore become important for the modeling of the packet level dynamics, are given.
Huang, XJ, Li, YX & Nguyen, S 1970, 'Sample rate conversion by trapezoidal interpolation for software defined radio', PIMRC 2003: 14TH IEEE 2003 INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS PROCEEDINGS, VOLS 1-3 2003, 14th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PUBLISHING HOUSE ELECTRONICS INDUSTRY, BEIJING, PEOPLES R CHINA, pp. 135-139.
Jan, T, Piccardi, M & Gunes, H 1970, 'Suspicious behavior assessment for visual surveillance using neural network classifiers', CISST'03: PROCEEDING OF THE INTERNATIONAL CONFERENCE ON IMAGING SCIENCE, SYSTEMS AND TECHNOLOGY, VOLS 1 AND 2, International Conference on Imaging Science, Systems and Technology (CISST 03), C S R E A PRESS, LAS VEGAS, NV, pp. 657-661.
Jan, T, Piccardi, M & Hintz, T 1970, 'Neural network classifiers for automated video surveillance', 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718), 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718), IEEE, Toulouse, France, pp. 729-739.
View/Download from: Publisher's site
View description>>
n automated visual surveillance applications, detection of suspicious human behaviors is of great practical importance. However due to random nature of human movements, reliable classification of suspicious human movements can be very difficult. Artificial neural network (ANN) classifiers can perform well however their computational requirements can be very large for real time implementation. In this paper, a data-based modeling neural network such as modified probabilistic neural network (MPNN) is introduced which partitions the decision space nonlinearly in order to achieve reliable classification, however still with acceptable computations. The experiment shows that the compact MPNN attains good classification performance compared to that of other larger conventional neural network based classifiers such as multilayer perceptron (MLP) and self organising map (SOM).
Min Xu, Ling-Yu Duan, Chang-Sheng Xu & Qi Tian 1970, 'A fusion scheme of visual and auditory modalities for event detection in sports video', 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., International Conference on Acoustics, Speech and Signal Processing (ICASSP'03), IEEE, pp. 189-192.
View/Download from: Publisher's site
View description>>
In this paper, we propose an effective fusion scheme of visual and auditory modalities to detect events in sports video. The proposed scheme is built upon semantic shot classification, where we classify video shots into several major or interesting classes, each of which has clear semantic meanings. Among major shot classes we perform classification of the different auditory signal segments (i.e. silence, hitting ball, applause, commentator speech) with the goal of detecting events with strong semantic meaning. For instance, for tennis video, we have identified five interesting events: serve, reserve, ace, return, and score. Since we have developed a unified framework for semantic shot classification in sports videos and a set of audio mid-level representation with supervised learning methods, the proposed fusion scheme can be easily adapted to a new sports game. We are extending this fusion scheme to three additional typical sports videos: basketball, Volleyball and soccer. Correctly detected sports video events will greatly facilitate further structural and temporal analysis, such as sports video skimming, table of content, etc.
Min Xu, Maddage, NC, Changsheng Xu, Kankanhalli, M & Qi Tian 1970, 'Creating audio keywords for event detection in soccer video', 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698), 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698), IEEE, pp. 281-283.
View/Download from: Publisher's site
View description>>
This paper presents a novel framework called audio keywords to assist event detection in soccer video. Audio keyword is a middle-level representation that can bridge the gap between low-level features and high-level semantics. Audio keywords are created from low-level audio features by using support vector machine learning. The created audio keywords can be used to detect semantic events in soccer video by applying a heuristic mapping. Experiments of audio keywords creation and event detection based on audio keywords have illustrated promising results. According to the experimental results, we believe that audio keyword is an effective representation that is able to achieve more intuitionistic result for event detection in sports video compared with the method of event detection directly based on low-level features.
Qiang Wu, Xiangjian He & Hintz, T 1970, 'Enhanced affine invariant shape description by ESPRIT', 3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the, 3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003., IEEE, Rome, Italy, pp. 593-598.
View/Download from: Publisher's site
Qimei Hu, Xiangjian He & Qiang Wu 1970, 'Concurrent edge detection with Spiral Architecture on Linux', Proceedings ITCC 2003. International Conference on Information Technology: Coding and Computing, ITCC 2003. International Conference on Information Technology: Coding and Computing, IEEE Comput. Soc, Las Vegas, USA, pp. 524-528.
View/Download from: Publisher's site
View description>>
© 2003 IEEE. Edge detection is an essential tool in image analysis. It is a process of identifying significant discontinuities in light intensities in order to form an outline of the object of interest. Spiral Architecture provides powerful computational power as a method of image data representation. Gaussian multi-scale theory was employed as the mathematical model for edge detection. The parallel processing algorithm was implemented in the form of a master-slave model. Spiral Architecture enables an image to be uniformly partitioned and distributed to slave processors after spiral multiplication. Concurrent processing is facilitated by inter-process communication and socket interface programming tools of Linux operating system.
Wu, Q, He, X & Hintz, T 1970, 'A triple-diagonal gradient-based edge detection', IASTED International Conference on Computer Graphics and Imaging, IASTED International Conference on Computer Graphics and Imaging, ACTA Press, Honolulu, USA, pp. 244-249.
View description>>
Gradient-based edge detection is a straightforward method to identity the edge points in the original grey-level image. It is consistent with the intuition that in the human vision system the edge points always appear where the change of grey-level is greatest within their neighbourhood. In this paper, triple-diagonal gradient-based edge detection is introduced. It is based on the features of Spiral Architecture and computes the gradients in three diagonal directions instead of approximating the gradient in one direction only as the traditional methods do. Essentially, it improves the accuracy for locating edge points. As a result, it does not need any supplementary processing to enhance the edge map.
Wu, Q, He, X & Hintz, T 1970, 'Edge map improvement on Spiral Architecture', Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST, International Conference Imaging Science, Systems and Technology, CSREA Press, Las Vegas, USA, pp. 179-185.
View description>>
Edge map is considered as an important entity containing most of object features in an image. Many computer vision systems rely on the use of the boundary line information to perform the object recognition tasks. However, with the exception of images acquired from highly restricted environment, common edge detectors do not guarantee the production of continuous boundaries of objects. In this paper, a local processing based edge-linking algorithm is proposed. We set a criterion involving multiple properties of the pixel to find the best candidate points for edge linking. In addition, this algorithm is implemented on Spiral Architecture.
Wu, Q, He, X, Hintz, T & Ye, Y 1970, 'Complete Image Partitioning on Spiral Architecture', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), IEEE International Symposium on Parallel and Distributed Processing with Applications, Springer Berlin Heidelberg, Japan, pp. 304-315.
View/Download from: Publisher's site
View description>>
Uniform image partitioning has been achieved on Spiral Architecture, which plays an important role in parallel image processing on many aspects such as uniform data partitioning, load balancing, zero data exchange between the processing nodes et al. However, when the number of partitions is not the power of seven like 49, each sub-image except one is split into a few fragments which are mixed together. We could not tell which fragments belong to which sub-image. It is an unacceptable flaw to parallel image processing. This paper proposes a method to resolve the problem mentioned above. From the experimental results, it is shown that the proposed method correctly identifies the fragments belonging to the same sub-image and successfully collects them together to be a complete sub-image. Then, these sub-images can be distributed into the different processing nodes for further processing. © Springer-Verlag Berlin Heidelberg 2003.
Xiaojing Huang & Yurixin Li 1970, 'Simple noncoherent cpm receivers by pam decomposition and mmse equalization', 14th IEEE Proceedings on Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003., 14th IEEE on Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003., IEEE, BEIJING, PEOPLES R CHINA, pp. 707-711.
View/Download from: Publisher's site
Xu, M, Maddage, NC, Xu, CS, Kankanhalli, M & Tian, Q 1970, 'Creating audio keywords for event detection in soccer video', 2003 INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOL II, PROCEEDINGS, 4th International Conference on Multimedia and Expo (ICME 2003), IEEE, MD, BALTIMORE, pp. 281-284.
Yaya Wei, Chuang Lin, Fengyuan Ren, Dutkiewicz, E & Raad, R 1970, 'Session based differentiated quality of service admission control for Web servers', 2003 International Conference on Computer Networks and Mobile Computing, 2003. ICCNMC 2003., 2003 International Conference on Computer Networks and Mobile Computing. ICCNMC 2003, IEEE Comput. Soc, pp. 112-116.
View/Download from: Publisher's site
View description>>
© 2003 IEEE. Recent advance-session based admission control (SBAC) has resulted in protecting the server from entering a regime in which latencies are excessive or session throughput collapses due to dropped requests and aborted sessions. The goal of this work is to introduce differentiated QoS to SBAC. We propose a two-threshold SBAC scheme (QSBAC). It can provide high throughput for preferred clients especially in overload situation. Furthermore, to adapt to varying traffic loads, a dynamic QSBAC (DQSBAC) scheme is also proposed. The experimental results show that comparing with SBAC scheme, both QSBAC scheme and DQSBAC scheme can sustain higher session throughput for preferred clients, as well as decrease aborted session percentage greatly. Comparing with QSBAC scheme, DQSBC scheme is more feasible because of its adaptation to varying traffic loads.
Yaya Wei, Chuang Lin, Fengyuan Ren, Raad, R & Dutkiewicz, E 1970, 'Dynamic priority handoff scheme in differentiated QoS wireless multimedia networks', Proceedings of the Eighth IEEE Symposium on Computers and Communications. ISCC 2003, ISCC 2003 - International Symposium on Computers and Communications, IEEE Comput. Soc, pp. 131-136.
View/Download from: Publisher's site
View description>>
Handoff is one of the key elements in ensuring quality of service (QoS) in mobile wireless networks. Handoff connections generally have higher priority than new connections. Traditional reservation policies that reserve some channels for handoff connections are not adaptive to traffic load changes. This paper proposes a new dynamic guard channel scheme (DGCS), which 1) adapts to various traffic loads; 2) combines differentiated QoS service model and priority handoff mechanism; 3) provides fairness for differentiated QoS services; 4) does not need to exchange state information among different cells, so it is easy to be implemented and is simple enough to be used in real time environments; 5) and utilizes network resources efficiently and puts a bound on each service blocking probability. The simulation results show that the ratios among different QoS service probabilities are guaranteed to be predefined values and system utilization is improved greatly. © 2003 IEEE.
Zhang, J, Kennedy, RA & Abhayapala, TD 1970, 'New results on the capacity of M-ary PPM ultra-wideband systems', IEEE International Conference on Communications, 2003. ICC '03., IEEE International Conference on Communications, IEEE, IEEE, pp. 2867-2871.
View/Download from: Publisher's site
View description>>
In this paper, some new results on the capacity of a typical M-ary pulse position modulation (M-PPM) time hopping (TH) Ultra- Wideband (UWB) system are presented. Previous results using a 'pure PPM model' are proven to exaggerate the real capacity of a UWB system. Based on an extended model containing correlator and soft decision decoding, the capacity is evaluated in the single-user case and in the case of a system with asynchronous multiple user interference (MUI) when the inputs are equiprobable. It is found that only when bit- signal-to-noise ratio (bit-SNR) is high enough, larger M leads to higher capacity; and for a specific M, the optimal values of PPM time offset parameter Td, which maximize the capacity, are independent of bit-SNR. The influence of MUI on capacity is detrimental, especially in the case of high bit-SNR.
Zhang, J, Kennedy, RA & Abhayapala, TD 1970, 'Performance of RAKE reception for ultra wideband signals in a lognormal fading channel', Proc. IWUWBS, Citeseer, pp. 5-9.
Zhang, T, Abhayapala, TD & Kennedy, RA 1970, 'Performance of ultra-wideband correlator receiver using Gaussian monocycles', IEEE International Conference on Communications, 2003. ICC '03., IEEE International Conference on Communications, IEEE, IEEE, pp. 2192-2196.
View/Download from: Publisher's site
View description>>
This paper investigates the performance of UltraWideband (UWB) correlator receivers for Gaussian monocycles under the condition of equal mean power and provides constructive reference to the selection of pulses. Several channel situations are examined including ideal single user AWGN channel, non-ideal synchronous, multipath fading and multiple access interference. Both numerical and analytical techniques show that the shape of pulses have notable impact on the performance of correlator receivers, especially on the interference resistance ability and signal-to-noise ratio (SNR) of the output. The results are also extended to the field of fractional bandwidth to better understand the possible relationship between fractional bandwidth and correlator receivers.
