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An architecture for the estimation of higher order cumulants

An architecture for the estimation of higher order cumulants

引用

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

作者： H.M. Stellakis E.S. Manolakos Communications and Digital Signal Processing Center Department of Electrical and Computer Engineering Northeastern University Boston MA USA

To achieve real-time performance in signal processing applications that require the estimation of higher order statistics, it is necessary to introduce parallel processing and pipelining. The authors present a two stage VLSI architecture for the computation of all the non-negative lags of the cumulants of a real, one-dimensional data sequence. All the non-negative lags of the moments, up to the fourth order, are computed first by a triangular array, based on the indirect block-type estimation approach (C. L. Nikias and M. R. Roghuveer, 1987). The second and fourth order moments are then used to compute the fourth order cumulants using additional processors. A systematic algorithm-to-architectures synthesis methodology facilitated the design of both parts of the architecture and their optimal space and data flow matching.< >

关键词： computer architecture signal processing Pipeline processing Parallel processing Very large scale integration signal processing algorithms Military computing Digital signal processing signal generators signal synthesis

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Adaptive two-stage detection scheme in synchronous two-user CDMA systems

Adaptive two-stage detection scheme in synchronous two-user ...

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MILCOM, Military communications Conference

作者： Z. Siveski Y. Bar-Ness Center for Communications and Signal Processing Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA

An adaptive two-stage scheme for a synchronous, two-user CDMA environment with unknown received signal energies is presented. It consists of a tandem of the matched filter front-end followed by the interference canceler whose weights are adjusted by an adaptive algorithm. The error probability was evaluated analytically, and it was shown that the receiver provides satisfactory performance in the near-far scenarios.< >

关键词： Multiaccess communication Detectors Matched filters Interference cancellation Error probability Decorrelation Iterative algorithms Adaptive signal processing Adaptive algorithm Filter bank

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Priority shaping of source traffic for ATM networks

Priority shaping of source traffic for ATM networks

引用

IEEE International Conference on communications (ICC)

作者： L.K. Reiss L.F. Merakos Communications and Digital Signal Processing Research Center Electrical and Computer Engineering Department Northeastern University Boston MA USA

Priority shaping of aggregate source traffic is proposed for use with policed virtual paths in asynchronous transfer mode (ATM) networks. The shaping function, located between the traffic sources sharing the path and the network edge, acts as a self-policing mechanism augmented by a form of priority service to assure satisfactory levels of cell loss and delay for traffic streams with differing service requirements multiplexed into a single virtual path. Two versions of the shape are proposed, and their interaction with a virtual path policed by a leaky-bucket mechanism is discussed. The problem of optimization of shaper design parameters is considered.< >

关键词： Telecommunication traffic Aggregates Traffic control Asynchronous transfer mode Proposals Communication system traffic control Delay Digital signal processing computer networks Design optimization

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On generalized adaptive neural filters with application to enhancing EKG signals

On generalized adaptive neural filters with application to e...

引用

Annual Northeast Bioengineering Conference

作者： Z.Z. Zhang N. Ansari Center for Communications and Signal Processing Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA

A class of nonlinear adaptive filters called generalized adaptive neural filters (GANFs) developed to generalize stack filters to a larger class of nonlinear filters and to outperform stack filters is discussed. They are based on the theory of stack filters and neural networks. It is shown that GANFs have better noise suppression performance than stack filters. The implementation of GANFs is discussed, and the theoretical analysis in regards to the performance of GANFs on EKG signal processing is also presented.< >

关键词： Adaptive filters signal processing Nonlinear filters Biomedical signal processing Gaussian noise Application software Additive white noise Neurons Adaptive signal processing Biomedical engineering

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Adaptive map configuration and dynamic routing to optimize the performance of a satellite communication network

Adaptive map configuration and dynamic routing to optimize t...

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Proceedings of GLOBECOM '93. IEEE Global Telecommunications Conference

作者： S. Balasekar N. Ansari Center for Communications and Signal Processing Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA

It is demonstrated that the performance of a satellite network can be optimized by changing its facilities. A mesh-connected, circuit-switched satellite communication network is shown to perform better by adaptively reconfiguring the network by using simulated annealing to suit the current traffic conditions. Proper allocation of link capacities and placing an optimal reservation scheme for the network are crucial in this scheme. Routing is performed dynamically. Simulation results confirm these characteristics.< >

关键词： Routing Artificial satellites Switching circuits Satellite communication Communication switching Circuit simulation Telecommunication switching Communication system control Adaptive signal processing Simulated annealing

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Achievable loss probabilities and buffer allocation policies in ATM nodes with correlated arrivals

Achievable loss probabilities and buffer allocation policies...

引用

IEEE International Conference on communications (ICC)

作者： Y.-H. Jeon I. Viniotis Center for Communications and Signal Processing Department of Electrical and Computer Engineering North Carolina State University Raleigh NC USA

The authors consider the synthesis problem of a traffic control scheme based on conservation laws. They derive a conservation law for cell loss probabilities, for an ATM (asynchronous transfer mode) node with a finite buffer size and correlated arrival processes. Based on this law, they develop a buffer allocation (i.e., pushout) algorithm that meets a prespecified cell loss objective, if it can be satisfied, or treats the traffic classes "fairly", if it cannot. The algorithm is dynamic and requires no knowledge of arrival statistics.< >

关键词： Asynchronous transfer mode Traffic control Performance loss signal processing algorithms Performance analysis Loss measurement Telecommunication traffic High-speed networks Propagation delay signal processing

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Adaptive bandwidth reservation for traffic streams sharing an ATM virtual path

Adaptive bandwidth reservation for traffic streams sharing a...

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Proceedings of GLOBECOM '93. IEEE Global Telecommunications Conference

作者： L.K. Reiss L.F. Merakos Electrical and Computer Engineering Department Communications and Digital Signal Processing Research Center Northeastern University Boston MA USA

Adaptive, in-call, bandwidth reservation may be used to enhance bandwidth utilization in a policed ATM virtual path shared by traffic streams originated by many bursty sources. The mechanism is found to be effective when large changes in the aggregate traffic rate are slow in comparison to the feedback delay with which a requested change in the reserved rate is obtained. We present a model, based on Markov-modulated sources and stochastic fluid methods, for performance analysis of the proposed mechanism. The model, corroborated by simulations, is used to study the effects of feedback delay.< >

关键词： Bandwidth Aggregates Asynchronous transfer mode Feedback Delay effects Programmable control Adaptive control Telecommunication traffic Traffic control Communication system traffic control

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Stochastic gradient techniques for the efficient simulation of high-speed networks using importance sampling

Stochastic gradient techniques for the efficient simulation ...

引用

Proceedings of GLOBECOM '93. IEEE Global Telecommunications Conference

作者： M. Devetsikiotis W.A. Al-Qaq J.A. Freebersyser J.K. Townsend Center for Communications and Signal Processing Department of Electrical & Computer Engineering North Carolina State University Raleigh NC USA

To obtain large speed-up factors in Monte Carlo simulation using importance sampling (IS), the modification, or bias of the underlying probability measures must be carefully chosen. Analytical optimization techniques are generally ineffective, especially for queueing networks with bursty traffic. The authors present two stochastic gradient optimization techniques that lead to favorable IS parameter settings in the simulation of queueing networks, including queues with bursty traffic. Namely, they motivate and describe the stochastic gradient descent (SGD) algorithm, and the stochastic (important event) frequency ascent (SFA) algorithm. They demonstrate the effectiveness of their algorithms by applying them to the problem of estimating the blocking probability for a queue with two arrival streams, a modified interrupted Bernoulli stream and a Markov modulated Bernoulli stream with batch arrivals, deterministic service times, and finite capacity K (denoted by M-IBP+MMBBP/D/1/K). Speed-up factors of 1 to 6 orders of magnitude over conventional Monte Carlo simulation are achieved for the examples presented.< >

关键词： Stochastic processes High-speed networks signal processing algorithms Monte Carlo methods Telecommunication traffic Traffic control Communication networks Velocity measurement Frequency estimation Computational modeling

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Comparative study of the generalized adaptive neural filter with other nonlinear filters

Comparative study of the generalized adaptive neural filter ...

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

作者： H. Hanek N. Ansari Z.Z. Zhang Center for Communications and Signal Processing Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA

The generalized adaptive neural filter (GANF) is a new type of adaptable filter. The GANF relies upon neural functions to set up a filtering operation. The authors study a few of the possible neural networks which can be used in a GANF. The capabilities of the neural nets are examined and the filtering abilities of the GANF are obtained through simulation. While the GANF structure used is somewhat simplified, the filter is also compared with other nonadaptive filters. These filters provide a reference so that relative performance can be more realistically judged.< >

关键词： Adaptive filters Nonlinear filters Neurons Filtering Boolean functions Neural networks Adaptive signal processing signal processing Additive noise Additive white noise

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Simulation of digital communication systems using a stochastically optimised importance sampling technique

Simulation of digital communication systems using a stochast...

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Proceedings of GLOBECOM '93. IEEE Global Telecommunications Conference

作者： W.A. Al-Qaq M. Devetsikiotis J.K. Townsend Center for Communications and Signal Processing Department of Electrical & Computer Engineering North Carolina State University Raleigh NC USA

Importance sampling (IS) techniques can substantially accelerate bit error rate (BER) estimation using Monte Carlo (MC) simulation provided that the IS parameters specifying the simulation probability density function (PDF) are carefully chosen. We present an IS optimization algorithm based on stochastic gradient techniques. The formulation of the stochastic gradient descent (SGD) algorithm presented in this paper is quite general and system-independent, and its applicability is not restricted to a specific PDF or biasing scheme. The generality and effectiveness of the SGD algorithm are demonstrated by applying it to the problem of efficiently simulating a communication system with diversity combining, slow nonselective Rayleigh fading channel and noncoherent envelope detection.< >

关键词： Digital communication Monte Carlo methods Bit error rate Diversity reception Acceleration Estimation error Probability density function Stochastic processes Stochastic systems Fading

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