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检索条件"任意字段=Conference on Advanced Signal Processing Algorithms, Architectures, and Implementations X"

共 461 条记录，以下是131-140 订阅

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signal processing algorithms by permutation test in radar application 6

Signal processing algorithms by permutation test in radar ap...

引用

conference on advanced signal processing algorithms, architectures, and implementations VI

作者： AlvarezVaquero, F SanzGonzalez, JL UNIV POLITECN MADRID ETSI TELECOMUNDEPT SIGNAL SYST & RADIOCOMMUNE-28040 MADRIDSPAIN

ISBN: (纸本)0819422347

A hypothesis H is parametric if every distribution from the process defined by H belongs to a family of distributions characterized by a finite number of parameters; on the other hand, if the distribution can not be defined by a finite number of parameters, the hypothesis is nonparametric. In this paper, we analyze a detector based on the optimum permutation test, applied to nonparametric radar detection which provide good performances without a large computational work, and we compare it with the parametric test and rank test in the Neyman-Pearson sense. The computational complexity of the detector is high and its implementation in real time is difficult, due to the number of operations increase with the factorial of the number of samples. Also, we present an algorithm that reduces the computational work required. We also present the detectability characteristic of the optimum permutation test against rank test and parametric test under Gaussian noise environments and different types of target models (nonfluctuating, Swerling I and Swerling II). The detection probability versus signal-to-noise ratio is estimated by Monte-Carlo simulations for different parameter values (N pulse, M reference samples and false alarm probability P_fa).

关键词： nonparametric permutation test rank test radar detection detectability target models

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HIGHER-ORDER WIGNER DISTRIBUTIONS

HIGHER-ORDER WIGNER DISTRIBUTIONS

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CONF ON advanced signal processing algorithms, architectures, AND implementations 3

作者： SWAMI, A Unocal Corp. (United States)

ISBN: (纸本)081940943X

Higher-order Wigner distributions are not unique: definitions differ in the lag separations between the terms used in the time-domain product, as well as in how many of the terms are conjugated. We study a class of third-order WDs (TWD), parameterized by a single parameter (alpha) , and show that there is a duality between the choices of (alpha) equals -1/3 (Gerr's definition) and (alpha) equals -1. Interesting signal attributes, such as the instantaneous frequency, the derivative of the log-magnitude, and the group delay can be recovered from the TWD. Important issues such as aliasing problems and sampling requirements, and whether or not the analytic form of a real signal should be used, are addressed. It is shown theoretically that the TWD with (alpha) equals -1 is particularly useful for the detection of transients in the presence of colored Gaussian noise.

关键词： signal processing Interference (communication) signal detection signal analyzers Time-frequency analysis Fourier transforms Beryllium Smoothing Chromium Digital signal processing

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CONF ON advanced signal-processing algorithms, architectures, AND implementations

作者： FLANDRIN, P LTS-ICPI (France)

ISBN: (纸本)0819404098

In a very recent past, new techniques, referred to as time-scale methods and making use of the so-called wavelet transform, have been proposed for the analysis of nonstationary or time-varying signals. They are basically devoted to the description of signal time evolutions at different observation scales; this is achieved by using shifted and dilated versions of some elementary analyzing waveform along the time axis. The purpose of this paper is twofold: it is intended (1) to provide a brief overview of linear wavelet techniques (continuous and discrete transforms) and bilinear time-scale methods (time-scale energy distributions), and (2) to put them in some common perspective with existing signal processing tools (Gabor decompositions, constant-Q analysis, quadrature mirror filters, wideband ambiguity functions, time-frequency energy distributions). Existing or potentially relevant applications are also pointed out.

关键词： Transform theory Wavelets Electronic filtering Filtering (signal processing) Linear filtering Mirrors signal processing Time-frequency analysis Wavelet transforms

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Performance of coherent adaptation algorithms for the WCDMA smart antenna system in Rayleigh flat-fading channel

Performance of coherent adaptation algorithms for the WCDMA ...

引用

conference on advanced signal processing algorithms, architectures, and implementations xI

作者： Kong, DG Lee, K Chun, J Choi, P Yun, JC Lee, SJ Lee, JH Samsung Adv Inst Technol Human Comp Interact Lab Suwon South Korea

ISBN: (纸本)0819441880

Coherent adaptation algorithms are proposed for a beamformer in the WCDMA reverse link. The coherent adaptation algorithm improves the convergence speed by constraining the desired signal component of the filtered output to be always coherent in phase with the reference signal at each iteration. With the coherent constraint, the performance of coherent methods is significantly improved. We present the simulation results that show the various desirable characteristics of coherent methods such as a fast convergence speed. insensitiveness to fading parameters over conventional methods.

关键词： coherent adaptation algorithm smart antenna WCDMA array signal processing

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Approximation by structured lower rank matrices

Approximation by structured lower rank matrices

引用

SPIE conference on advanced signal processing algorithms, architectures, and implementations VIII

作者： Chu, MT Funderlic, RE Plemmons, RJ N Carolina State Univ Dept Math Raleigh NC 27695 USA

ISBN: (纸本)0819429163

We consider two general procedures for constructing the nearest approximation of a given matrix by one with any lower rank and any linear structure. Nearness can be measured in any matrix norm. Structured low rank matrices arise in various applications, including image enhancement and model reduction. In practice, the empirical data collected in the matrix often either do not maintain the specified structure or do not induce the desirable rank. It is an important task to search for the nearest structured lower rank approximation of a given matrix. The techniques developed in this paper can easily be implemented for numerical computation. In particular, it is shown that the computations can be approached using efficient optimization packages. The special case of Toeplitz structure using the Frobenius matrix norm is discussed in detail to illustrate the ideas, and numerical tests are reported. The procedures developed herein can be generalized to consider a much broader range of approximation problems.

关键词： Matrices signal processing MATLAB Optimization (mathematics) Image enhancement Computer programming Computer science Fourier transforms Image processing Mathematics

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Design and evaluation of automated checks for signal processing applications 6

Design and evaluation of automated checks for signal process...

引用

conference on advanced signal processing algorithms, architectures, and implementations VI

作者： Nair, VSS Kim, HC Krishnamurthy, N Abraham, JA SO METHODIST UNIV DEPT COMP SCI & ENGNDALLASTX 75275

ISBN: (纸本)0819422347

Most of the signal processing application programs involve computationally intensive iterative steps. In such programs, various failures in the underlying hardware manifest as control-flow errors that affect the reliability of the computed results. Various techniques have been proposed in the past to detect and recover from such control-flow errors. Unfortunately, all these techniques need either additional hardware or modification of the hardware and are not portable across various platforms. To circumvent these limitations, recently we have developed a high-level control-flow checking approach using assertions (CCA). In CCA, branch-free intervals in a given high-level language program are identified and the entry and exit points of the intervals are fortified through pre-inserted assertions. In this paper we describe an implementation of CCA through a pre-processor that will automatically insert the necessary assertions into a high-level language program. Based on the implementation we study the fault detection capabilities of CCA with the help of fault injection experiments using FERRARI.

关键词： Simulation of CCA and DLA aggregates Switches signal processing Reliability Computing systems Computer engineering Data modeling Error analysis Error control coding Computer science

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Spatial polarimetric time-frequency distributions and applications to direction-of-arrival estimation

Spatial polarimetric time-frequency distributions and applic...

引用

conference on advanced signal processing algorithms architectures and implementations xIII

作者： Zhang, YM Amin, MG Obeidat, BA Villanova Univ Ctr Adv Commun Villanova PA 19085 USA

ISBN: (纸本)0819450782

Time-frequency distributions (TFDs) have evolved to be a powerful technique for nonstationary signal analysis and synthesis. With the use of a multi-sensor array, spatial time-frequency distributions (STFDs) have been developed and successfully applied to high-resolution direction-of-arrival (DOA) estimation and blind recovery of the source waveforms. In this paper, the polarimetric dimension is introduced to the STFDs resulting in the spatial polarimetric time-frequency distributions (SPTFDs) as a platform for the processing of non-stationary polarized signals. In the SPTFD platform, polarized signals are decomposed (projected) into two orthogonal polarization components, such as horizontal and vertical, and later processed in a manner where their polarization characteristics are exploited. This empowers the STFDs with additional degrees of freedom and improves the robustness of the signal and noise subspaces, and therefore, serving to enhance DOA estimation, signal recovery, and source separation performance. To demonstrate the advantages of the SPTFDs, the polarimetric time-frequency MUSIC (PTF-MUSIC) method for DOA estimation is proposed based on the SPTFD platform and is shown to outperform the time-frequency, polarimetric, and conventional MUSIC methods.

关键词： time-frequency distributions array signal processing polarization smart antennas MUSIC

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Computing the signal subspaces of a sparse and/or structured matrix

Computing the signal subspaces of a sparse and/or structured...

引用

conference on advanced signal processing - algorithms, architectures, and implementations VII

作者： Fierro, RD California State Univ./San Marcos (United States)

ISBN: (纸本)0819425842

Many techniques involve the computation of singular subspaces associated with an extreme cluster of singular values of an m x n data matrix A. Frequently A is sparse and/or structured, which usually means matrix-vector multiplications involving A and its transpose can be done with much less than O(mn) flops, and A and its transpose can be stored in static data structures with much less than O(mn) storage locations. Standard complete orthogonal decompositions may be unattractive due to the computational and dynamic storage overhead associated with the initial preprocessing of the data. We describe an efficient Matlab implementation of the low-rank ULV algorithm for extracting reliable and accurate approximations to the singular subspaces associated with the cluster of large singular values without altering the matrix. The user can choose any principal singular vector estimator to underwrite the algorithm, may call a specialized routine to compute matrix-vector products involving A and its transpose, and can choose the desired level of accuracy of a residual. The main computational savings stems from preserving A and avoiding the explicit formation of unwanted information.

关键词： singular value decomposition singular subspaces signal subspaces ULV decomposition fast algorithms Householder transformations

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Time frequency guided design of quadratic filters

Time frequency guided design of quadratic filters

引用

conference on advanced signal processing algorithms, architectures and implementations xII

作者： Williams, WJ Quantum Signal LLC Ann Arbor MI USA

ISBN: (纸本)0819445584

Time-frequency distributions (TFDs) of Cohen's class often dramatically reveal complex structures that are not evident in the raw signal. Standard linear filters are often not able to separate the underlying signal from background clutter and noise. The essense of the signal can often be extracted from the TFD by evaluating strategic slices through the TFD for a series of frequencies. However, TFDs are often computationally intense compared to other methods. This paper demonstrates that quadratic filters may be designed to capture the same information as is available in the specific slices through the TFD at a considerably lower computational cost. The outputs of these filters can be combined to provide a robust impulse-like response to the chosen signal. This is particularly useful when the exact time series representation of the signal is unknown, due to variations and background clutter and noise. It is also noted that Teager's method is closely related to TFDs and are an example of a quadratic filter. Results using an ideal matched filter and the TFD motivated quadratic filter are compared to give insight into their relative responses.

关键词： time-frequency Teager speech quadratic filter reduced interference distributions

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A multivariate speech activity detector based on the syllable rate

A multivariate speech activity detector based on the syllabl...

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SPIE conference on advanced signal processing algorithms, architectures, and implementations VIII

作者： Smith, D Townsend, J Nelson, DJ US Dept Def Ft George G Meade MD 20755 USA

ISBN: (纸本)0819429163

Computationally efficient algorithms which perform speech activity detection have significant potential economic and labor saving benefit, by automating an extremely tedious manual process. In many applications, it is desirable to extract intervals of speech which are bounded by segments of other signal types (fax/modem, music, static, dial tones, etc.). In the past, algorithms which successfully discriminate between speech and one specific other signal type have been developed. Frequently, these algorithms fail when the specific non-speech signal is replaced by a different non-speech signal. Little work has been done on combining such discriminators in order to solve the general speech vs. non-speech discrimination problem. Typically, several signal specific discriminators are blindly combined with predictable negative results. Moreover, when a large number of discriminators are involved, dimension reduction is achieved using Principal Components, which optimally compresses signal variance into the fewest number of dimensions. Unfortunately, these new coordinates are not necessarily optimal for discrimination. In this paper we apply graphical tools to determine a set of discriminators which produce excellent speech vs. non-speech clustering, thereby eliminating the guesswork in selecting good feature vectors. This cluster structure provides a basis for a general multivariate speech vs. non-speech discriminator, which compares very favorably with the TALKATIVE speech extraction algorithm.

关键词： signal processing

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