signaltoolbox-0.2

说明：  VC和matlab的教程，好用，放心下载，希望对大家有帮助(VC, and matlab tutorial, easy to use, secure download, we want to help)

自己用的一个求MFCC参数的程序，绝对好用，带原始数据，可直接运行(A program and MFCC parameters, absolutely easy to use, with the original data, and can be run directly)

说明：  通信系统功率分配--基于SVD分解的注水算法仿真(Communication system power distribution- filling algorithm based on SVD decomposition simulation)

Capture images with webcam using Matlab

matlab script to calculate sun position

利用MATLAB开发软件进行编程，实现了数字IIR低通滤波器的功能，程序直接可以运行！(Use MATLAB to develop software for programming, implementation of digital IIR low-pass filter function, the program can run directly!)

1.录制一段自己的语音信号,对录制的信号进行采样 画出采样后语音信号的时域波形和频谱图 给定滤波器的性能指标,采matlab设计数字滤波器,并画出滤波器的频率响应 然后用自己设计的滤波器对采集的信号进行滤波,画出滤波后信号的时域波形和频谱,并对滤波前后的信号进行对比,分析信号的变化 回放语音信号。2.(1. Recorded his voice for some signal, the signal is sampled on the record draw sampled speech signal time-domain waveform and frequency spectrum performance for a given filter, mining matlab digital filter design, and draw the filter frequency response then use their own filters designed to filter the collected signals, to draw the filtered time domain waveform and frequency spectrum, and comparing the signal before and after filtering, analysis of signal changes playback of audio signals. 2.)

matlab code for image

全变差图像处理Matlab程序，for the paper: "Algorithms and Software for Total Variation Image Reconstruction via First-Order Methods, Numerical Algorithms"(Software for Total Variation Image Reconstruction (for Matlab Version 7.5 or later) "mxTV" is a software package for image reconstruction based on the Total Variation model, and including denoising, inpainting, and deblurring. The work was carried out as part of the project CSI: Computational Science in Imaging, funded by the Danish Research Council for Technology and Production Sciences, and headed by Prof. Per Christian Hansen, DTU Informatics. The collaborators are DTU Informatics, Dept. of Electronic Systems at Aalborg University, and MOSEK ApS. The underlying algorithms are based on recently published first-order methods developed by Nesterov, tailored specifically to the image restoration problems. These methods have O(1/ε) complexity, where ε is the accuracy of the solution. The core computational routines are written in C, with a mex interface to Matlab. The algorithms and the software are described in the paper: J. Dahl, P. C. Hansen, S. H. Jensen, and T. L. Jensen, Alg)

说明：  联通区域的标记 matlab 的bwlabel功能(matlab bwlabel )