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In computer science and information theory, data compression, source coding,[1] or bit-rate reduction involves encoding information using fewer bits than the original representation. Compression can be either be lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in lossless compression. Lossy compression reduces bits by identifying marginally important information and removing it. The process of reducing the size of a data file is popularly referred to as data compression, although its formal name is source coding (coding done at the source of the data, before it is stored or transmitted).

MATLAB 数字信号处理工具箱中decimate函数c语言实现(MATLAB Digital Signal Processing Toolbox decimate function c language)

voice sauce thiss toolbox is more important for analysis signal

说明：  c常用函数，适合初学者使用，里面有详细的注释(c common function, for beginners, there are detailed notes)

Hidden_Markov_model_for_automatic_speech_recognition This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner (1) and others. Serious students are directed to the sources listed below for a theoretical description of the algorithm. KF Lee (2) offers an especially good tutorial of how to build a speech recognition system using hidden Markov models.

SERPSK SERPAM SERQAM

说明：  matlab中chol函数的C++实现，即对矩阵进行分解，分解为上三角矩阵(chol matlab in C++, the function)

RS码编码的源代码，直接复制出来粘贴在新建工程即可用(RS coding source code, paste copied directly out ready for use in new construction)

该程序为电子离合器的程序,可以实现有无按纽信号或者刹车信号等判断(The program procedures for the electronic clutch, you can achieve any signal or brake button signals to determine)

数字图像处理，用MATLAB进行高斯滤波(Digital image processing using MATLAB to Gaussian filtering)