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A binary logic synthesis approach to the bit-level implementation of generalized rank-order filters

A binary logic synthesis approach to the bit-level implement...

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Q. Gu M.N.S. Swamy Center for Signal Processing and Communications Department of Electrical & Computer Engineering Concordia University Montreal QUE Canada

A binary logic synthesis approach is presented for the bit-level implementation of generalized rank-order filters. It is shown that rank-order filters can be realized directly from the binary weighted signal by using combinational logic circuits. A pipelined architecture based on the algorithm is also introduced. The realization is simple and modular in structure and suitable for VLSI implementation, and no threshold decomposition and reconstruction circuits are needed. Only one type of basic cell is employed. K basic cells connected together will perform K-bit rank-order filtering. The proposed filter has flexibility for various applications. Considering the proposed architecture as a building block, recursive rank-order filters, 2-D rank-order filters, and adaptive rank-order filters can easily be realized.< >

关键词： Logic Nonlinear filters signal processing signal processing algorithms Very large scale integration Adaptive filters signal synthesis Combinational circuits Digital filters Circuit synthesis

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A modified Hebbian learning rule for total least-squares estimation with complex-valued arguments

A modified Hebbian learning rule for total least-squares est...

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： K. Gao M.O. Ahmad M.N.S. Swamy Center for Signal Processing and Communications Department of Electrical and Computer Engineering Concordia University Montreal QUE Canada

A constrained anti-Hebbian algorithm that is used for processing complex signals is presented. It is shown that the algorithm adaptively extracts the eigenvector associated with the smallest eigenvalue of the correlation matrix of the input signal. The operation of the algorithm is simple, similar to that of the LMS (least mean square) algorithm, and it can be applied to an adaptive prediction-error filter directly, giving an estimate of the parameters that is optimal in the total least-squares sense. Simulation results on estimating the frequencies of sinusoids corrupted by white noise are presented.< >

关键词： Hebbian theory signal processing algorithms Neurons Finite impulse response filter Vectors Adaptive filters Filtering algorithms Algorithm design and analysis signal processing Parameter estimation

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Adaptive stack filtering by LMS and perceptron learning

Adaptive stack filtering by LMS and perceptron learning

引用

1992 IEEE International Conference on Acoustics, Speech, and signal processing, ICASSP 1992

作者： Ansari, Nirwan Huang, Yuchou Lin, Jean-Hsang Center for Communication and Signal Processing Department of Electrical and Computer Engineering New Jersey Institute of Technology University Heights NewarkNJ07102 United States Department of Electrical Engineering University of Delaware NewarkDE19716 United States

ISBN: (纸本)0780305329

Stack filters are a class of sliding-window nonlinear digital filters that possess the weak superposition property (threshold decomposition) and the ordering property known as the stacking property. They have been demonstrated to be robust in suppressing noise. Two methods are introduced to adaptively configure a stack filter. One is by employing the least mean square (LMS) algorithm and the other is based on perceptron learning. Experimental results are presented to demonstrate the effectiveness of the methods for noise suppression. © 1992 IEEE.

关键词： Adaptive filtering

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On the efficient simulation of large communication networks using importance sampling

On the efficient simulation of large communication networks ...

引用

[Conference Record] GLOBECOM '92 - communications for Global Users: IEEE

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

To obtain large speedup factors in Monte Carlo simulation using importance sampling (IS), the modification, or bias of the underlying probability measures must be carefully chosen, especially for large networks. The formulation and results for estimating the blocking probability of a 4*4 synchronous Clos ATM switch, with priority and push-out, are presented. The simulation study uses the authors' (1992) statistically-based techniques for optimizing IS performance. Issues involved in using IS that, if not properly addressed, can result in poor performance and even misleading results are presented. Techniques are presented to avoid these potential pitfalls. Experimental examples of both the 4*4 Clos ATM switch and IS-related issues are presented. Speedup factors of 2 to 5 orders of magnitude are achieved for the 4*4 ATM switch.< >

关键词： Communication networks Monte Carlo methods Switches Asynchronous transfer mode Probability Runtime Velocity measurement Communication switching Computational modeling signal processing

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Using recurrent neural networks for blind equalization of linear and nonlinear communications channels

Using recurrent neural networks for blind equalization of li...

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MILCOM, Military communications Conference

作者： G. Kechriotis E. Zervas E.S. Manolakos Communications and Digital Signal Processing (CDSP) Center Electrical and Computer Engineering Department Northeastern University Boston MA USA

A recurrent neural network (RNN) equalizer for blind equalization of linear and nonlinear communication channels is proposed. RNNs have the ability to learn dynamical mappings of arbitrary complexity and therefore present a natural choice for implementing equalizers for communication channels. In several cases the nonlinear nature of a communication channel is too severe to ignore, and at the same time no nonlinear channel model can account sufficiently for the nonlinearities that are inherently present in the channel. In those cases a neural network equalizer is preferable over a conventional one. The real-time recurrent learning (RTRL) algorithm is used to train an RNN, and its performance is compared with that of a conventional equalizer based on the constant-modulus algorithm.< >

关键词： Recurrent neural networks Blind equalizers signal processing algorithms Communication channels Neural networks Frequency Intersymbol interference signal processing computer networks Interference constraints

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An integrated simulation environment for design and analysis of mobile communication systems

An integrated simulation environment for design and analysis...

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IEEE Southeastcon

作者： J. Karaoguz S.H. Ardalan M.B. Steer C.R. Chang Center of Communications and Signal Processing Department of Electrical and Computer Engineering North Carolina State University Raleigh NC USA

A simulation environment for the analysis and design of RF communication systems from the link level down to the nonlinear circuit level was developed. The integrated simulation environment supports block diagram representations, multirate sampling, and an interactive graphical user interface. It permits the incorporation of sophisticated user models of individual blocks, in a mixed time-domain and frequency-domain environment. The simulation of a multichannel mobile communication system is presented. Large-signal nonlinear distortion effects due to the RF receiver front end, such as harmonic distortion, intermodulation distortion, and spurious noise, were obtained using the integrated link-level and circuit-level simulation environment. Results of large-signal effects on adjacent channel interference and signal-to-noise ratio are also presented.< >

关键词： Analytical models Circuit simulation Radio frequency Nonlinear circuits Sampling methods Graphical user interfaces Time domain analysis Mobile communication Nonlinear distortion Harmonic distortion

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Mobile Manipulator Path Planning By A Genetic algorithm

Mobile Manipulator Path Planning By A Genetic algorithm

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IEEE International Workshop on Intelligent Robots and Systems (IROS)

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

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Priority service disciplines and voice cell discarding schemes in ATM networks

Priority service disciplines and voice cell discarding schem...

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IEEE Southeastcon

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

Priority service disciplines and congestion control schemes for voice and data multiplexing with bursty inputs in asynchronous transfer mode ATM/SONET broadband networks are presented. The authors consider dynamic mapping of ATM cells in the SONET payload. They propose separate buffers for voice and data to efficiently control the throughput of each traffic type. Transmission bandwidth is dynamically shared between voice and data to guarantee grade of service (GOS) requirements for each traffic type. A selective voice cell discarding scheme is also considered for voice-data integration. The effects of voice cell discarding on network performance for integrated voice and data systems were analyzed by simulation. The results showed that the priority service disciplines, in combination with the voice cell discarding scheme, were very efficient methods to guarantee a GOS requirement for voice. The cell discarding scheme was shown to reduce cell losses as well as delays for data. It was found that the performance for data can be significantly improved by imposing the thresholds at both voice and data buffers.< >

关键词： Asynchronous transfer mode SONET Communication system traffic control Broadband communication Payloads Throughput Bandwidth Traffic control Data systems Data analysis

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Issues in video transmission over broadband ATM networks

Issues in video transmission over broadband ATM networks

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Conference on Local computer Networks (LCN)

作者： T.L. Mitchell S.L. Blake Center for Communications and Signal Processing Department of Electrical and Computer Engineering North Carolina State University Raleigh NC USA

Broadband ATM networks at multi-megabit data rates will provide the necessary bandwidth for high-quality interactive video applications. Performance requirements for high-quality video services are introduced. Results of statistical simulations of broadband networks transmitting video signals are shown to demonstrate that VBR coding provides gains in multiplexed channel utilization and in access link capacity. Issues relating to protocol design for ATM networks, particularly congestion control and error control, are introduced. Various techniques for handling cell loss are compared.< >

关键词： Intelligent networks Asynchronous transfer mode Protocols Bit rate HDTV Local area networks Bandwidth Proposals Video compression Digital video broadcasting

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Ill-conditioned inverse problems: a solution using the complex cepstrum of higher order spectra

Ill-conditioned inverse problems: a solution using the compl...

引用

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

作者： D.H. Brooks Communications and Digital Signal Processing (CDSP) Center Department of Electrical and Computer Engineering Northeastern University Boston MA USA

The application of higher-order spectral methods to certain multichannel inverse problems where the observed time signals are linear combinations of unknown sources is proposed. The transfer matrix is static and known beforehand but is highly ill-conditioned, leading to the failure of standard least squares regularization techniques or low rank approximation when there is additive noise. The noise suppression properties of third order cumulants are used, along with the ability to obtain multiple estimates by extracting individual signals from their third order cross-correlations via cross-bicepstrum operations. Variations of this approach are presented, and normalization issues are discussed.< >

关键词： Inverse problems Cepstrum Vectors Sensor arrays Conductors Least squares approximation Additive noise Array signal processing Torso Heart

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