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Performance analysis of reservation random access protocols for cellular packet communications

Performance analysis of reservation random access protocols ...

引用

IEEE Global Telecommunications Conference GLOBECOM '91: Countdown to the New Millennium. Conference Record

作者： S. Jangi L. Merakos Electrical and Computer Engineering Department Communications and Digital Signal Processing Research Center Northeastern University Boston MA USA Hughes Network Systems Germantown MD USA

An analysis method for evaluating the performance of a class of RRA (reservation random access) protocols is developed. The method is based on a Markovian model whose stationary solution is obtained via an iterative computational procedure based on matrix decomposition techniques. Subject to a maximum delay constraint, the steady state probability of voice packet dropping is evaluated for three RRA protocol examples and comparisons are made with the performance of an ideal hypothetical multiplexer. Suggestions for the design of integrated voice/data RRA protocols are made. The transient performance of RRA protocols is evaluated.< >

关键词： Performance analysis Access protocols Delay Speech Base stations Time division multiple access Digital signal processing Data engineering Iterative methods Matrix decomposition

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System identification from frequency samples of the bispectrum

System identification from frequency samples of the bispectr...

引用

International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： H.M. Valenzuela Department of Electrical and Computer Engineering Spatial and Temporal Signal Processing Center Pennsylvania State University University Park PA USA

A system identification technique for general noncausal, nonminimal-phase autoregressive moving-average (ARMA) processes is presented. The technique combines rational modeling from frequency response samples with system identification from higher-order statistics information. The formulation is based on samples of the bispectrum along a straight line on the frequency plane, referred to as a bispectrum slice. The identification is carried out in two steps; first a rational model of the bispectrum slice is obtained via solution of two uncoupled systems of equations and, subsequently, the coefficients of the underlying ARMA model are obtained by using closed-form expressions. The method is verified through simulations.< >

关键词： System identification Transfer functions Additive noise Frequency response signal processing Higher order statistics Gaussian noise Equations Frequency domain analysis Noise robustness

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Tree structures for time-frequency signal analysis

Tree structures for time-frequency signal analysis

引用

International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： A.N. Akansu Y. Liu Department of Electrical and Computer Engineering Center of Communication and Signal Processing Research New Jersey Institute of Technology Newark NJ USA

The popular orthonormal decomposition techniques such as block transforms and filter banks for multiresolution signal representation are unified. Their comparative performance results based on signal energy compaction are presented for image and AR(1) sources. It is observed that the filter banks with computationally efficient filtering algorithms and irregular tree structures are potential competitors to the block transforms, particularly for image processing and coding applications.< >

关键词： Tree data structures Time frequency analysis signal analysis Filter bank Energy resolution signal resolution signal representations Compaction Filtering algorithms Image processing

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Optimum detection of Rayleigh signals in nonstationary noise

Optimum detection of Rayleigh signals in nonstationary noise

引用

International Phoenix Conference on computers and communications (IPCCC)

作者： L.A. Prastitis J. Frank S.D. Himonas Center of Communications and Signal Processing Department of Electrical Engineering New Jersey Institute of Technology Newark NJ USA Department of Electrical Engineering New York Institute of Technology New York NY USA

The authors propose an adaptive thresholding procedure for Rayleigh envelope distributed signals and noise, where noise power residues instead of noise power estimates are processed. It is shown that it is the optimum constant false alarm rate (CFAR) detector when the noise samples are statistically independent and identically distributed in the sense that its detection performance approaches that of the ideal (fixed threshold) detector as the number of noise samples becomes very large. The authors also discuss the merits of the proposed technique in rejecting interferences in the noise samples.< >

关键词： signal detection Working environment noise Detectors Testing Background noise Clouds Matched filters Probability Radar signal processing Radar applications

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On radar signal detection in partially correlated clutter

On radar signal detection in partially correlated clutter

引用

Conference on Digital Avionics Systems (DASC)

The authors propose a new adaptive thresholding technique for Rayleigh envelope distributed signals and noise, in which noise power residues instead of noise power estimates are processed. The proposed detector is referred to as the residual cell averaging (RCA) constant false alarm rate (CFAR) detector. They describe and analyze the RCA-CFAR detector. Possible extensions of this work are briefly stated. The merits of the proposed technique in rejecting interferences in the noise samples are also discussed.< >

关键词： Radar clutter signal detection Detectors Working environment noise Testing Background noise Matched filters Probability Radar signal processing Interference

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A comparison of absolute moment block truncation coding and the minimum mean square error quantizer

A comparison of absolute moment block truncation coding and ...

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： K.-K. Ma S.A. Rajala Department of Electrical and Computer Engineering Center of Communication and Signal Processing North Carolina State University Raleigh NC USA IBM Corporation Raleigh France

The Lagrange multiplier optimization technique is used to derive an exact relationship between absolute moment block truncation coding (AMBTC) and the minimum mean square error quantizer (MMSEQ). In addition, using computer simulation it is shown that the perceptual difference between the decoded images using these two approaches is almost unnoticeable. Furthermore, AMBTC and MMSEQ are separately incorporated into a subband coding scheme. The perceptual difference between the reconstructed images with subband coding is unnoticeable. While the MMSEQ requires an iterated search for the optimum threshold AMBTC uses the local mean value as the threshold. As a result, AMBTC is more practical than the MMSEQ.< >

关键词： Mean square error methods Image coding Quantization signal processing algorithms Lagrangian functions signal processing computer simulation Iterative decoding Image reconstruction Pixel

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Exact noise analysis of 'ideal' SC networks

Exact noise analysis of 'ideal' SC networks

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： L. Toth K. Suyama Department of Signal Processing and Computer Science Research Institute of Telecommunication (TKI) Budapest Hungary Department of Electrical Engineering and Center of Telecommunications Research Columbia University New York NY USA

An exact analytical method is presented for computing noise generated in switched capacitor networks (SCNs) including the effects due to frequency-dependent low-frequency (i.e. 1/f noise) as well as broadband noise sources. The low-frequency noise source is modeled by the square of the magnitude of a rational function. A lossy SCN containing finite ON-resistances associated with MOS switches exhibits a well-defined output noise even when a limit-value computation is used to force the resistances to zero. The limit-value computation technique to determine this remaining average power spectral density takes advantage of the complete-charge-transfer assumption fully, and thus leads to an efficient noise analysis. The technique avoids the computation of eigenvalues or matrix exponentials even though the ON-resistors must be formulated.< >

关键词： Low-frequency noise 1f noise Circuit noise Noise shaping Noise generators Frequency Switches signal processing Switched capacitor networks Active noise reduction

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Adaptive equalization using multirate filtering techniques

Adaptive equalization using multirate filtering techniques

引用

Asilomar Conference on signals, Systems & computers

作者： J.J. Shynk D.P. Witmer M.J. Ready R.P. Gooch C.K. Chan Center for Information Processing Research Department of Electrical and Computer Engineering University of California Santa Barbara CA USA Applied Signal Technology Inc. Sunnyvale CA USA

The authors present a computationally efficient blind equalization architecture that is based on multirate and subband adaptive filtering techniques. The received signal is first partitioned by a filter bank into a set of narrowband frequency bins that are approximately nonoverlapping. The adaptive processing is then performed at a lower sampling rate, thus achieving a considerable savings in complexity. Furthermore, the signal power in each frequency bin is normalized to obtain a more uniform convergence rate across the adaptive filter coefficients. The overall convergence rate of the filter is thus dramatically improved compared to that of conventional time- and frequency-domain implementations. computer simulations of this filter bank equalizer in a multipath environment are presented to illustrate its transient and steady-state convergence properties.< >

关键词： Adaptive equalizers Adaptive filters Filtering Filter bank Convergence Frequency Blind equalizers computer architecture Narrowband signal sampling

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Neural networks for sidescan sonar automatic target detection

Neural networks for sidescan sonar automatic target detectio...

引用

IEEE Workshop on Neural Networks for signal processing

作者： M.J. LeBlanc E. Manolakos Fault-Tolerant Systems Division The Charles Stark Draper Laboratory Inc. Cambridge MA USA Communications and Digital Signal Processing Center of Research and Graduate Studies Electrical & Computer Engineering Department Northeastern University Boston MA USA

The goal of this research is to develop a multi-layer feedforward neural network architecture which can distinguish targets (in this case, mines) from background clutter in sidescan sonar images. The network is to be implemented on a hardware neurocomputer currently in development at CSDL, with the goal of eventual real-time performance in the field. A variety of neural network architectures are developed, simulated, and evaluated in an attempt to find the best approach for this particular application. It has been found that classical statistical feature extraction is outperformed by a much less computationally expensive approach that simultaneously compresses and filters the raw data by taking a simple mean.< >

关键词： Neural networks Sonar detection Object detection Multi-layer neural network Feedforward neural networks Neural network hardware computer architecture Computational modeling Feature extraction Filters

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Adaptive filtering of nonlinear systems with memory using quantized mean field annealing

Adaptive filtering of nonlinear systems with memory using qu...

引用

International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： R.A. Nobakht S.H. Ardalan D.E. Van den Bout Center of Communications and Signal Processing Department of Electrical and Computer Engineering North Carolina State University Raleigh NC USA Dept. of Electr. & Comput. Eng. North Carolina State Univ. Raleigh NC USA

A technique for adaptive filtering of nonlinear systems with memory has been developed which combines quantized mean field annealing (QMFA) and conventional recursive-least-squares/fast-transversal filter (RLS/FTF) adaptive filtering. Unlike other methods which rely on Volterra and Wiener models, this technique can efficiently handle large order nonlinearities with or without memory. The nonlinear channel is divided into a memory nonlinearity followed by a dispersive linear system. Assuming that the dispersive linear system is stationary during initialization and the nonlinearity does not change while the dispersive linear system varies with time, QMFA is applied to obtain the coefficients and the order of the memory of the nonlinearity and RLS/FTF is applied to determine the weights of the dispersive linear system. This method was applied to a full duplex digital subscriber loop. Simulations show that the performance of the technique is superior to that of ordinary RLS/FTF and steepest descent algorithms.< >

关键词： Adaptive filters Nonlinear systems Dispersion Linear systems Resonance light scattering Simulated annealing Random access memory Convergence signal processing algorithms Least squares approximation

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