RCseries

数字信号处理里FFT的C语言源代码啊，请查看啊(FFT digital signal processing in the C language source code ah, see ah)

本程序本人在matlab环境中处理电控发动机中处理点火波形，方便分析点火波形从而诊断故障。(The procedure is designed by myself in the matlab environment to deal with electronically controlled engine ignition waveform, to facilitate analysis of the ignition waveform to diagnose the problem.)

集合经验模态分解 是针对EMD方法的不足，提出了一种噪声辅助数据分析方法。 信号处理完整代码(Ensemble Empirical Mode Decomposition signal processing)

A structure an motion toolkit in Matlab This document describes a set of Matlab functions for SAM (structure and motion recovery) its primary aim is to illustrate various methods developped over the past few years in this area

英国设菲尔德大学遗传算法工具箱。用matlab导入路径即可使用。(University of Sheffield genetic algorithm toolbox. Using matlab import path can be used.)

matlab小波包工具箱的使用来分析信号，实现了一维去噪声的功能，恢复出了原始信号(wavelet packet Matlab toolbox used to analyze signals and realized the noise to a peacekeeping function, restoration of the original signal out)

Investigation on Transient Stability of Six-Phase Transmission System and Proposal for Integrating with Smart Grid

％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input data, n=number of observations, d=dimension of variable ％ k - maximum number of Gaussian components allowed ％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none) ％ maxiter - maximum number of iteration allowed ([] for none) ％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) ％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) ％ ％ Ouputs: ％ W(1,k) - estimated weights of GM ％ M(d,k) - estimated mean vectors of GM ％ V(d,d,k) - estimated covariance matrices of GM ％ L - log likelihood of estimates ％( EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates)

Algorithm as described in "CoSaMP: Iterative signal recovery from incomplete and inaccurate samples"

一种求解信号DOA的方法。该方法首先将DOA的估计转化为MMV问题，然后采用联合稀疏约束将其转化为带稀疏约束问题的求解。(A method of solving signal DOA. Firstly, the DOA estimates into MMV problem then will be transformed into the solving of the problems with sparse constraint joint sparse constraints.)