GSASVM

Find a classification error for a given decision surface D and a given set of patterns and targets (Find a classification error for a given dec ision surface D and a given set of patterns and ta rgets)

excellent tutorial on Matlab

模拟实验室中产生的清音和浊音，通过仿真产生清浊音的频谱图，非常有效的对比，可以看出它们之间的差异。(Voiceless and voiced simulation laboratory generated by simulation generated Voicing the spectrum, very effective contrast, you can see the difference between them. )

new raja login gm tool

gray level segmentation

neural networks and other machine learning in matlab

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.

说明：  viterb算法是卷积码中重要的一种译码算法，程序中用MATLAB实现了VITERB的译码算法，并且写了信道编码程序和二进制码通过以p概率错误的信道程序(viterb algorithm is important as a convolutional code decoding algorithm, the program using MATLAB to achieve a VITERB the decoding algorithm, and wrote letters Road, binary coding process and the probability of error through a p-channel process)

一个端点检测程序，用matlab编写。endpoint detection(an endpoint detection procedures, using Matlab prepared. Endpoint detection)

在压缩感知中求解稀疏度未知的改进匹配追踪算法(In the compression degree of unknown sparse perception algorithm)