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基于MATLAB的语音信号滤波设计与实现(MATLAB-based Design and Implementation of Speech Signal Filtering)

说明：  拉格朗插值，matlab程序……………………………………………………………………6(Language.m插值算法……………………………………)

在阵列信号处理中，信号源个数的估计是一个重要问题，文献和代码给出了基于随机矩阵理论的阵列信号个数的非参检测。(In array signal processing, the estimate of the number of signal source is an important issues, documentation and code give an non-parametric detection of array signal number based on random matrix theory.)

一个非线性滤波器的实现程序，能够实现其基本的功能，对于初学者很有帮助。(A nonlinear filter is implemented procedures to achieve its basic functionality, useful for beginners.)

是一种双隐层反向传播神经网络，窗函数法设计一个数字带通FIR滤波器，采用的是通用的平面波展开法。( Is a two hidden layer back propagation neural network, A window function design FIR digital band-pass filter, Using common plane wave expansion method.)

image inpainting (CS7495 Final Project Sooraj Bhat Object Removal by Exemplar-based Inpainting USING THE CODE Everything was done in Matlab and MEX (i.e. a C function callable from Matlab). First, the C code needs to be compiled. At the Matlab prompt, type: mex bestexemplarhelper.c You should then be able to run the following (which takes ~2mins on my 2GHz Pentium 4 laptop with 256MB of RAM): [i1,i2,i3,c,d,mov] = inpaint( bungee0.png , bungee1.png ,[0 255 0]) A smaller run (~25 seconds) would be: [i1,i2,i3,c,d,mov] = inpaint( bw0.png , bw2.png ,[0 255 0]) To visualize: plotall close movie(mov) SAMPLE IMAGES & RESULTS *0.png The original images ( bw and bungee ) *{1,2}.png The different fill region masks. *P2.png Plots of confidence and data terms. *P5.png Plots of original, fill region, inpainted images and confidence and data terms. Other images in the dir contain redundant information. I di)

《 MATLAB 程式设计与应用》，网络WEB版本，包含了很多MATLAB的相关示例与代码。(" MATLAB programming and applications" , Internet WEB version of MATLAB contains a number of relevant examples and code.)

本书是一本关于matlab应用于数字信号处理的经典书籍，里面给出了matlab处理信号的代码，适合读者自学。(This book is a book on digital signal processing matlab classic books, which gives the signal processing matlab code for readers to self-learning.)

一个RBF神经网络的算法实现程序,可用于实现RBF神经网络的函数逼近(A RBF neural network algorithm procedure can be used to implement RBF neural network function approximation)

2D cavity flow, simulated by a LB method