Description: 何振亚的现代谱估计.本书全面系统地论述了现代谱估计技术中的各种理论与方法。全书共九章，内容包括；纯连续谱沽计的AR与ARMA模型参量法、纯离散谱与混合谱估汁的正弦组合与阻尼复指数模型参量法、非参量法谱估计的最小方差法与奇异值/特征值分解处理法、应用信息论的墒谱估汁法、多谱(高阶谱)估计、二维潜估计与多维阵列谱估计。本书取材广泛，内容新颖，理论联系实际，系统性强。
-He Zhenya Modern spectral estimation. This book comprehensively and systematically discusses the modern spectral estimation techniques in a variety of theories and methods. Book a total of nine chapters, including pure continuous spectrum of sell ARMA model with AR parameter method, pure discrete spectrum and mixed spectrum estimation of sinusoidal juice combination of complex exponential model with the damping parameter method, non-parameter method of minimum variance spectral estimation method with the singular value/eigenvalue decomposition treatment method, the application of information theory the entropy spectrum estimation juice method, multi-spectral (HOS) estimates that two-dimensional latent estimation and multi-dimensional spectral estimation array. The book based on a wide range of content of a novel theory with practice, systemic strong. Platform: |
Size: 6134784 |
Author:songzy41 |
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Description: 含有《数字信号处理－理论、算法与实现》一书中所涉及到的绝大部分算法,DSP_FORTRAN,
DSP_C和DSP_MATLAB。DSP_FORTRAN和DSP_C各含有约40个信号处理的子程序。 用C语言编写的MA模型、ARMA模型及最小方差谱估计三个算法程序.-Contain " Digital Signal Processing- Theory, Algorithm and implementation of" one book relates to the vast majority of algorithms, DSP_FORTRAN, DSP_C and DSP_MATLAB. DSP_FORTRAN and DSP_C, each containing approximately 40 signal processing subroutine. Using C language MA models, ARMA model and the minimum variance spectral estimation procedures for the three algorithms. Platform: |
Size: 180224 |
Author:chao |
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Description: 胡广书的数字信号处理理论、算法及应用的（MA模型、ARMA模型及最小方差谱估计算法等等）C语言编写的程序。非常有用！-HU Guang-book digital signal processing theory, algorithms and applications (MA models, ARMA model and the minimum variance spectral estimation algorithms, etc.) C language procedures. Very useful! Platform: |
Size: 43008 |
Author:蔚无 |
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Description: —The minimum variance distortionless response
(MVDR) approach is very popular in array processing. It is also
employed in spectral estimation where the Fourier matrix is used
in the optimization process. First, we give a general form of the
MVDR where any unitary matrix can be used to estimate the
spectrum. Second and most importantly, we show how the MVDR
method can be used to estimate the magnitude squared coherence
function, which is very useful in so many applications but so few
methods exist to estimate it. Simulations show that our algorithm
givesmuchmore reliable results than the one based on the popular
Welch’s method. Platform: |
Size: 1024 |
Author:bidando |
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Description: DOA估计：最大熵算法、最小模算法、最小方差算法。输入： 快拍数据协方差矩阵R，观察范围内各方向导向矢量，三维矩阵phiyz。输出：最小方差谱估计矩阵P。-DOA Estimation: maximum entropy algorithm, the minimum norm algorithm, the minimum variance algorithm. Input: snapshot of the data covariance matrix R, the steering vector of each direction in the observed range of three-dimensional matrix phiyz. Output: the minimum variance spectral estimation matrix P. Platform: |
Size: 1024 |
Author:felix |
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Description: 本文介绍MVDR算法实现及其改进 用于多麦克风语音增强-The minimum variance distortionless response (MVDR),
originally developed by Capon for frequency-wavenumber
analysis, is a very well established method in array process-ing. It is also used in spectral estimation. The aim of this
paper is to show how the MVDR method can be used to es-timate the magnitude squared coherence (MSC) function,
which is very useful in so many applications but so few
methods exist to estimate it Platform: |
Size: 153600 |
Author:andyzygg |
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Search - minimum variance spectral estimation