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A new rls algorithm for blind separation of convolutive mixture

A new rls algorithm for blind separation of convolutive mixt...

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2004 sensor array and multichannel signal processing workshop

作者： Lv, Qi Zhang, Xian-Da Jia, Ying IEEE Department of Automation Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing 100084 China Intel China Research Center Beijing 100020 China

ISBN: (纸本)0780385454

In this paper, we first present a new criterion for nonlinear principal component analysis (PCA) available for blind source separation (BSS) of convolutive mixture. Then we derive a novel recursive least square (RLS) algorithm for time-domain BSS. Although several existing methods of time-domain BSS can avoid the indeterminacy of permutation and gain which makes the BSS problem difficult in frequency domain, they generally converge slowly. The proposed new algorithm has fast convergence. The simulation results are presented to illustrate the effectiveness of our algorithm. ©2004 ieee.

关键词： Algorithms

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multichannel array processing in radar: State of the art, hot topics and way ahead

Multichannel array processing in radar: State of the art, ho...

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2004 sensor array and multichannel signal processing workshop

作者： Farina, A. Fabrizio, G.A. Melvin, W.L. Timmoneri, L. Chief Technical Office Radar and Technology Division Via Tiburtina Km. 12.400 00131 Rome Italy PO box 1500 Edinburgh SA 5111 Australia 7220 Richardson Rd. Smyrna GA 30080 United States

ISBN: (纸本)0780385454

The space-time adaptive processing (STAP) technique was originally conceived to suppress clutter (and jamming) received by radar on board moving platforms such as aircraft;this was so because of the clutter ridge in the Doppler frequency and angle (spatial frequency) plane. In fact, the clutter echoes appear coupled in angle and Doppler frequency. When the platform is stationary this coupling does not exist anymore. However, the STAP technique still seems valuable when clutter and jamming are present and their statistical features are not known a priori. This paper demonstrates this statement by showing results concerning the processing of recorded live data. It also tackles the problem of selecting an algorithm to work in a nonstationary, nonhomogeneous environment. ©2004 ieee.

关键词： Space time adaptive processing

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Phaseforming: A suitable representation of array gain in broadband multicarrier transmissions

Phaseforming: A suitable representation of array gain in bro...

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2004 sensor array and multichannel signal processing workshop

作者： Raos, Ivana Zazo, Santiago ETS Ingenieros de Telecomunicación C-303 Universidad Politécnica de Madrid Ciudad Universitaria S/n Madrid 28040 Spain

ISBN: (纸本)0780385454

Standard beamforming designs are typically based on narrowband transmissions and narrow angle spread scenarios. In this situation, pointing a narrow beam towards the main reflector is a suitable strategy for transmit beamforming in order to minimize interuser interference while a wider beam should be introduced in receiving applications in order to increase signal to Noise Ratio (SNR). In both cases, design is based on beamformer concepts where distribution of array gain for different angles is a good description. However, in MultiCarrier (MC) transmissions through wide angle spread channels, phase shift between different antennas for all the carriers provide a more suitable description for the array gain concept. In this paper we will describe this procedure for MC-CDMA as a candidate for B3G (Beyond 3G) mobile application analysing different alternatives if Channel State Information (CSI) is assumed or partial CSI has to be considered. © 2004 ieee.

关键词： signal processing

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TIME-MUSIC DOA estimation based on the exploitation of an arbitrary-order temporal structure in the data

TIME-MUSIC DOA estimation based on the exploitation of an ar...

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2004 sensor array and multichannel signal processing workshop

作者： Van De Laar, Jakob IEEE Technische Universiteit Eindhoven Dept. of Electrical Engineering P.O. Box 513 5600 MB Eindhoven Netherlands

ISBN: (纸本)0780385454

This paper presents a unifying method called TIME-MUSIC for high-resolution Direction Of Arrival estimation of statistically independent complex narrowband signals in noise with a planar sensor array of arbitrary geometry. It is based on the exploitation of an arbitrary-order temporal structure in the data by cumulants. A MUSIC-like spatial pseudo-spectrum is computed that exhibits peaks at the source directions of arrival. The theory is unifying in several senses. Firstly, it is general with respect to the order of the exploited temporal structure. Secondly, all types of statistical variability in the data, such as arbitrary-order nonstationarity and nonwhiteness, are incorporated into the problem formulation in a unified manner. Finally, the conjugation pattern of the arguments of the involved cumulant functions can be chosen arbitrarily. In practice, this should be done in accordance with the characteristics of the involved signals. Depending on the number of sensors, the order of the exploited temporal structure, and the chosen conjugation pattern, a large number of source directions can be determined that exceeds the number of sensors for orders larger than one. ©2004 ieee.

关键词： Data structures

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2002 ieee sensor array and multichannel signal processing workshop Proceedings (Cat. No.02EX593)

2002 IEEE Sensor Array and Multichannel Signal Processing Wo...

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sensor array and multichannel signal processing workshop

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Neuron size Si probe array fabricated on integrated circuits for multichannel electrode 12

Neuron size Si probe array fabricated on integrated circuits...

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12th International Conference on Solid-State sensors, Actuators and Microsystems (TRANSDUCERS 03)

作者： Kawano, T Kato, Y Tani, R Ishino, H Takao, H Sawada, K Ishida, M Toyohashi Univ Technol Dept Elect & Elect Engn Toyohashi Aichi 4418580 Japan

ISBN: (纸本)0780377311

This report presents a technique for multichannel electrode of penetrating Si microprobe array with on-chip integrated circuits (ICs) for use in neuroscience and biomedical engineering. Penetrating microelectrodes can be used for multipoint neural recording as well as stimulation for neurons located in the neuronal tissue. Penetrating Si probes were successfully fabricated at predetermined sites on ICs by a selective vapor-liquid-solid (VLS) Si growth. The length of the Si probe was controlled in the VLS growth, which allowed required length with same diameter of. one neuron or less for in-vivo study. On-chip ICs was realized in order to site-selection for many probes. The Si probes on the circuits were spaced on 100 mum in the array, which can provide a high-density multichannel penetrating electrode.

关键词： Biomedical engineering Electrodes Fabrication Gold Microelectrodes MOSFET circuits Neurons Neuroscience Probes signal processing

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A bootstrap model selection criterion based on Kullback's symmetric divergence

A bootstrap model selection criterion based on Kullback's sy...

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ieee/SP workshop on Statistical signal processing (SSP)

作者： A.-K. Seghouane L. De Lathauwer ETIS UMR 8051 (ENSEA UCP CNRS) Equipes Traitement des Images et du Signal Cergy-Pontoise France

Following in the recent work of J. Cavanaugh (1999) and A.K. Seghouane (2002), a new corrected variant of KIC develop for the purpose of sources separation is proposed in this paper. The variant utilizes bootstrapping to provide an estimate of the expected Kullback-Leibler symmetric divergence between the model generating the data and a fitted approximating model. Simulation results that illustrate the performance of the new proposed criterion for the detection of the number of signals received by a sensor array are presented. As a result, the KIC variant serves as an effective tool for estimating the number of sources compared to other well known criteria.

关键词： sensor arrays Linear regression array signal processing Electronic mail Radar signal processing signal processing Additive noise Backscatter Radar detection Computational efficiency

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On the number of samples needed to identify a mixture of finite alphabet constant modulus sources

On the number of samples needed to identify a mixture of fin...

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

作者： A. Leshem A.J. van der Veen Department ITS/Electrical Engineering Delft University of Technnology Delft Netherlands School of Engineering Bar-llan University Ramat-Gan Israel

Constant modulus algorithms try to separate linear mixtures of sources with modulus 1. We study the identifiability of this problem: the number of samples needed to ensure that in the noiseless case we have a unique solution. For finite alphabet (L-PSK) sources, finite sample identifiability can hold only with a probability close to but not equal to 1. In a previous paper (Leshem, A. et al., Proc. ieee workshop on sensor array and multichannel signal processing, 2002), we provided a subexponentially decaying upper bound on the probability of non-identifiability. Here, we provide an improved exponentially decaying upper bound, based on Chernoff bounds. We show that, under practical assumptions, this upper bound is much tighter than previously known bounds.

关键词： Upper bound sensor arrays Binary phase shift keying Blind equalizers Source separation Cost function Performance analysis Algorithm design and analysis Phase noise signal processing

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Source detection in correlated multichannel signal and noise fields

Source detection in correlated multichannel signal and noise...

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

作者： G.O. Karim Electr. & Comput. Eng. Dept. Michigan State Univ. East Lansing MI USA

The problem of detecting the number of sources impinging on an array of sensors has received wide interest in many research problems. In particular, the detection of the number of distinct neural sources using a recording array of closely spaced sensors in the brain is one such application. The special case of transient source signals of unknown waveforms corrupted by Gaussian noise is the focus of this paper. We propose a new approach for solving this problem when no a priori knowledge is given about the neural sources and/or the noise processes. By extending our previous array multiresolution analysis framework for noise suppression, signal detection and identification (Oweiss and Anderson (2000, 2001, 2002)), we show that it is feasible to achieve reasonable source detection performance in moderate to low SNR scenarios.

关键词： sensor arrays array signal processing Sequential analysis Background noise Discrete wavelet transforms Gaussian noise signal detection Electrodes signal processing algorithms Multiresolution analysis

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Proceedings of the ieee sensor array and multichannel signal processing workshop

Proceedings of the IEEE Sensor Array and Multichannel Signal...

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ieee sensor array and multichannel signal processing workshop, same 2002

ISBN: (纸本)0780375513

The proceedings contain 124 papers. The topics discussed include: the MIT Lincoln laboratory Kassper algorithm testbed and baseline algorithm suite;from academe to industry or from writing papers to making chips: experiences and conclusions;robust adaptive beamforming for general-rank signal models using worst-case performance optimization;robust adaptive beamforming for passive sonar using eigenvector beam association and excision;a sequential Bayesian beamformer for Gauss-Markov signals;blind adaptive beamforming for cyclostationary signals with robustness against cycle frequency mismatch;an algorithm for computing the pisarenko vector;data orthogonalization in sensor array signal processing;broadband detection in k-distributed reverberation;partially adaptive broadband beamforming with a subband-selective transformation matrix;an interference canceler robust to beam pointing error;detecting weak sinusoidal signal by LMP test;and fast algorithm for estimating ocean surface velocity and coherence time.

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