Audio-analyze

Numerical analysis Numerical Integration Toolbox MATLAB Toolbox for 1-D, 2-D, and n-D Numerical Integration

动态规划的matlab程序，参看胡良剑等编《数学实验--使用MATLAB》P180，所举的例子，希望对初学者有用(matlab dynamic programming)

一个带用户界面的matlab语音合成和识别的程序，MainGuide01.fig通过提取MFCC，用dtw来计算实时录音和模板之间的最小距离，给出识别结果，并且给出波形图，频谱图，语谱图，基频和共振峰。MainGuide02.fig是语音合成程序，通过load一个wav文件用LPC，残差和pitch两种方式进行合成，并且能实时听合成语音的效果。注意用的是matlab2012b以上才能打开fig(This is an simple user interface program including speech recoginition and speech synthesis.MainGuide01.fig extracting MFCC and using DTW to calculate the minimum distance between the real-time recording and templates , the recognition results are achieved, and the waveform diagram, FFT result , spectrum diagram are shown. including Pitch and Formant Curve . MainGuide02.fig is a speech synthesis program, it load a wav file using LPC, synthesis by the residuals or by pitch two ways, you can listen to synthesized speech effect in the real time . You must ushe matlab version latest more than 2012b that could be OK )

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.)

常见的Matlab命令的实用例子，例子详细清楚明白，(failed to translate)

计算n重积分的matlab例程，来自吴鹏，matlab中文论坛(N-integral calculation matlab routines)

说明：  应用标准PSO优化的wiener，Pso粒子群最佳化算法，小弟的作品，希望对各位有帮助(Application of the standard PSO optimization wiener, Pso particle swarm optimization algorithm, younger brother of the works you want to help)

matlab练习用100个实例。有各个方面的。简单实用。(matlab exercises with 100 instances. There are various aspects. Simple and practical.)

使用matlab编程，结合ANN算法完成数字0到9的数字识别。(Use matlab programming, combined with ANN algorithm is complete digital digital identification 0-9 in.)

遗传算法程序，运行环境为MATLAB，可移植性非常好。程序本身不存在错误。(Genetic algorithms program, run the environment for MATLAB, portability is very good. Process itself does not exist error.)