dsp-shiyan

该代码实现的是压缩感知理论中的信号恢复问题。将压缩感知理论中的信号恢复问题转化为带参数约束的回归问题，从而利用贝叶斯理论实现参数估计，从而得到高效的重建稀疏信号。(The code to achieve the signal recovery problems in the theory of compressed sensing. Recovery issues into regression problems with parameter constraints will signal compression perception theory, Bayesian theory parameter estimation, resulting in efficient reconstruction of sparse signal.)

k-means clustering : Pattern Recognition

采用小波变化来完成数字水印的加密和解密，并且加入了猫脸变换(Wavelet change digital the watermark encryption and decryption, and cat face transform.)

CODE FOR COMPUTATIONAL FRACTAL. YOU CAN USE IN MATLAB SOFTWARE.

As all of you know, MATLAB is a powerful engineering language. Because of some limitation, some tasks take very long time to proceed. Also MATLAB is an interpreter not a compiler. For this reason, executing a MATLAB program (m file) is time consuming. For solving this problem, Mathworks provides us C Math Library or in common language, MATLAB API. A developer can employ these APIs to solve engineering problems very fast and easy. This article is about how can use these APIs.

内容包括离散时间信号简介、随机变量和随机过程的基本知识、维纳滤波器的基本知识、误差性能曲面的性质、牛顿法、最陡下降法、LMS算法及各种改进算法、最小二乘算法等的介绍。(Include discrete-time signal profiles, random variables and a basic knowledge of stochastic processes, Wiener filter basic knowledge of the nature of the error performance surface, Newton method, steepest descent method, LMS algorithm and a variety of improved algorithms, least-squares algorithm such as introduction.)

维纳滤波程序,本程序用matlab 实现仿真,比较了维纳滤波和逆滤波的图像效果(Wiener filtering procedures, the procedures used to achieve matlab simulation, compared the Wiener filtering and inverse filtering of the image)

基于PCA+k-means聚类的语音识别算法，参数用LPCC+MFCC以及动态参数，识别率高已发SCI论文(Based on PCA+ k-means clustering speech recognition algorithm, parameters and dynamic parameters LPCC+ MFCC recognition rate sent SCI papers)

All command in Matlab/R

遗传算法中的简单遗传算法，用matlab实现。(genetic algorithm simple genetic algorithm, using Matlab to achieve.)