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Spectral approach to logical distribution-free classification problem

Spectral approach to logical distribution-free classificatio...

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： K. Egiazarian J. Astola S. Agaian Signal Processing Laboratory Tampere University of Technology Tampere Finland Department of Electrical Engineering Tufts University Medford MA USA

A spectral approach to logical distribution-free classification is presented. The discriminant function is based on logical conjunctions which are called descriptors of the classes. The main steps of the algorithm are: (1) finding a minimal descriptor for each pattern class, (2) computing a local discriminant function for each minimal descriptor and (3) making the actual classification of the observed pattern into a class. For constructing minimal descriptors we utilize spectral algorithms to extract the prime implicants of the Boolean function corresponding: to a prototype class. The spectral algorithms involve computing Walsh and conjunctive (need-Muller) spectra for which there exists fast algorithms.

关键词： signal processing algorithms Circuit testing Boolean functions signal processing Laboratories Electronic mail System testing Pattern recognition Circuit synthesis Prototypes

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A matched filter based synthetic aperture radar (SAR) algorithm for stepped frequency ground penetrating radar

A matched filter based synthetic aperture radar (SAR) algori...

引用

IEEE International Conference on Radar

作者： A. Gunawardena D. Longstaff Department of Electrical and Computer Engineering University of Queensland Brisbane QLD Australia Cooperative Research Centre for Sensor Signal and Information Processing Australia

We apply a matched filter based SAR algorithm to process ground penetrating radar data. The algorithm discussed is for a stepped frequency type radar although it can be applied to other types with few modifications. The selection of the synthetic aperture length considering the ground attenuation, antenna beam pattern and the scattering pattern of the object being imaged is also discussed.

关键词： Matched filters Ground penetrating radar Spaceborne radar Radar imaging signal resolution Frequency measurement Radar antennas Radar scattering Azimuth Bandwidth

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Array processing using parametric signal models

Array processing using parametric signal models

引用

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

作者： A. Zeira B. Friedlander Signal Processing Technology Limited Palo Alto CA USA Department Electrical & Computer Engineering University of California Davis CA USA

This paper attempts to assess the potential performance gain of spatial-temporal processing relative to conventional spatial processing, for signals obeying a deterministic parametric model. The Cramer-Rao bound (CRB) on the estimates of the source directions of arrival (DOA) is used to quantify this gain. Spatial-temporal processing does not yield any such gain in the single source case, or for multiple coherent signals. However, significant gains can be achieved for multiple non-coherent signals.

关键词： Array signal processing signal processing Polynomials Sensor arrays Parametric statistics Direction of arrival estimation Frequency modulation Sonar applications Doppler radar Radar applications

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Delay models for the sea-of-wires array synthesis system 95

Delay models for the sea-of-wires array synthesis system

引用

European Design and Test (ED&TC) Conference

作者： Ing-Yi Chen Geng-Lin Chen Sy-Yen Kuo Department of Electronic Engineering Chung Yuan Christian University Chungli Taiwan Digital Signal Processing Department Computer & Communication Laboratory ITRI Hsinchu Taiwan Department of Electrical Engineering National Taiwan University Taipei Taiwan

ISBN: (纸本)9780818670398

This paper presents two simple, accurate and efficient delay models, the static delay model and the dynamic delay model, to support performance optimization of VLSI Sea-of-Wires Arrays (SWA). The SWA delay model treats each distributed gate as an attribute-based primitive gate with different internal and external connection wires. Instead of solving differential equations, the SWA model determines delays by lookup from a multi-dimensional table. Only a few microseconds of execution time are needed per gate. The propagation delay along a circuit path is the sum of the delay segments of distributed gates in the path. The critical path of an SWA design can be identified with an O(n) timing analysis algorithm. For most AHPL Benchmarks, the table-lookup method achieves 5 orders of magnitude speedup over SPICE for the same circuits with error margin less than 7%.< >

关键词： SPICE Circuit simulation Wires signal synthesis Very large scale integration Algorithm design and analysis Timing Equations Delay effects Table lookup

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On detecting broadband signals in frequency and time-dispersive channels

On detecting broadband signals in frequency and time-dispers...

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Asilomar Conference on signals, Systems & computers

作者： B. Friedlander A. Zeira Department Electrical & Computer Engineering University of California Davis CA USA Signal Processing Technology Limited Palo Alto CA USA

The major problem for active sonar operating in shallow water is reverberation. High time-bandwidth waveforms and coherent matched filtering are often used to improve the detection performance. However, in the case of channel distortion, this approach is severely limited and more robust detectors are needed. We evaluate the performance of several detectors for various channel models. We examine the robustness of the detectors by evaluating the performance in the case of mismatch between the detector and the channel parameters. Studying the relation between the fast fading distortion model and the time spreading distortion we show that, under certain conditions, these distortions have a similar effect on the waveform.

关键词： signal detection Frequency Detectors Reverberation Robustness Sonar Fading Matched filters Filtering Random processes

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Optimal partially adaptive sensor array processing

Optimal partially adaptive sensor array processing

引用

Antennas and Propagation Society International Symposium

作者： J.S. Goldstein D.B. Williams Digital Signal Processing Laboratory School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA Space Communications Branch USAF Rome Laboratory NY USA

The problem addressed in this paper is minimum variance adaptive sensor array processing subject to limitations on the dimension of the adaptive processor. Advances in technology have made it possible for space-segment and airborne platforms to support arrays composed of many elements for communications and radar systems. However, the computational complexity requirements of such sensor arrays, coupled with the desire or requirement for space-time processing, may prohibit full adaptivity. A new technique for rank reduction based upon a cross-spectral performance index is introduced, and it is shown that this method results in a lower minimum mean-square error (MMSE) than the principal components method of rank reduction. An example is provided which demonstrates that the Wiener filter operating in the subspace selected by this new metric outperforms the optimal filter operating in the subspace chosen based upon the largest eigenvalues criteria.

关键词： Sensor arrays Array signal processing Wiener filter Space technology Airborne radar Spaceborne radar Computational complexity Adaptive arrays Performance analysis Eigenvalues and eigenfunctions

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A comparative performance study of excisers in spread spectrum communications

A comparative performance study of excisers in spread spectr...

引用

IEEE Conference and Exhibition on Global Telecommunications (GLOBECOM)

作者： M.V. Tazebay A.N. Akansu New Jersey Institute of Technology Department of Electrical and Computer Engineering Center for Communications and Signal Processing Research University Heights Newark NJ USA

The comparative performance of a direct-sequence spread-spectrum (DSSS) receiver for different excisers is presented. The performance of the adaptive time-frequency (ATF) exciser is ranked along with fixed and optimal transform domain-based excisers. The smart ATF exciser is able to decide on the domain of processing. For the narrowband interference case, the ATF exciser employs an adaptive subband filter bank with the best transform basis. The bit error rate performance of DSSS receiver is simulated for ATF, DFT, DCT, optimal KLT, and fixed subband filter bank-based interference cancellers. It is shown that the smart ATF exciser significantly outperforms the others for the scenarios considered. The performance of ATF is very robust to the variations of the interference.

关键词： Spread spectrum communication Bandwidth Narrowband Karhunen-Loeve transforms Discrete Fourier transforms Filter bank Interference suppression Time frequency analysis Jamming Discrete transforms

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A smart time-frequency exciser for spread spectrum communications

A smart time-frequency exciser for spread spectrum communica...

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

A smart adaptive time-frequency (ATF) excision algorithm is proposed to perform interference suppression in spread spectrum communications. The ATF exciser has the intelligence of deciding the domain of the excision. Additionally, adaptive subband transforms are utilized for frequency domain excision in order to track the spectral variations of the incoming signal. This adaptive transform approach brings significant performance improvements in spectral resolution. Bit error rate (EER) performance of the novel ATF exciser-based direct sequence spread spectrum (DSSS) system receiver is compared with other existing transform domain-based DSSS receivers. Time localized or frequency-localized interferer types and additive white Gaussian noise (AWGN) channels are considered in the study. In all cases, the smart ATF exciser-based DSSS receiver drastically outperforms the existing competitors. Its robust performance against the variations of the interferers is verified.

关键词： Time frequency analysis Spread spectrum communication Interference Discrete Fourier transforms Karhunen-Loeve transforms signal processing algorithms Frequency domain analysis signal resolution Bit error rate Additive white noise

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Partially adaptive radar signal processing: the cross-spectral approach

Partially adaptive radar signal processing: the cross-spectr...

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Asilomar Conference on signals, Systems & computers

作者： J.S. Goldstein S.M. Kogon I.S. Reed D.B. Willisms E.J. Holder USAF Rome Laboratory NY USA Statistical Signal and Image Processing LaboratoryDepartment of Electriical Engineering University of Southern California Los Angeles CA USA Digital Signal Processing LaboratorySchool of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

This paper is concerned with reducing the rank of the adaptive weight vector in radar array signal processing. The motivation for reducing the rank is that modern space-time processing requires many more weights than can be supported on airborne and space-segment platforms. The loss incurred in partially adaptive radar processing is that the steady-state Wiener solution of the lower rank weight vector may not perform as well as the full rank solution. Hence, this paper examines the Wiener solution of partially adaptive radar arrays and compares the performance of principal component techniques with the cross-spectral technique.

关键词： Radar signal processing Laboratories Adaptive arrays Space technology Steady-state Computational complexity Adaptive filters signal to noise ratio signal processing algorithms Contracts

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Optimal subchannel structuring and basis selection for discrete multicarrier modulation

Optimal subchannel structuring and basis selection for discr...

引用

Proceedings of GLOBECOM 1995 Mini

作者： Benyassine Akansu New Jersey Institute of Technology Department of Electrical and Computer Engineering Center for Communications and Signal Processing Research University Heights Newark NJ USA

We propose an intelligent subchannel structuring and orthogonal basis selection algorithm for the discrete multicarrier modulation. This algorithm examines the unevenness and power levels of the given channel spectrum. The orthogonal modulation basis is well tailored to the properties of the channel in the proposed scheme. It is shown that the proposed approach leads to a smaller number of unequal bandwidth discrete carriers than the current technology. This provides a reduced complexity in digital transceivers with a near optimum performance.

关键词： Digital modulation/demodulation Digital radio TR devices Communication channels Spectral analysis Communication system performance

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