BP神经网络的数据分类-语音特征信号分类

此程序为经典的MUSIC算法源程序，对经典算法使用MATLAB语言进行具体准确描述(This program is the classic MUSIC algorithm source code, the language of the classical algorithm used for specific and accurate description of MATLAB)

说明：   匀速 运动的物体，由卡尔曼滤波算法实现目标跟踪。并画出效果曲线。(Uniform motion of the object, the Kalman filter algorithm for target tracking. And draw the effect curve.)

实现了parzen窗的方窗和高斯窗形式算法，输入只需输入样本，样本个数和窗宽能的出其概率密度函数(A window algorithm for Parzen windows)

LU decomposition used to solve matrices with multiple unknowns

一个关于混沌序列的噪声压缩程序，主要基于主分量分析方法，消噪效果非常好。模拟信号上加了100 ％噪声(a chaotic sequence of the noise compression procedures, mainly based on principal component analysis, denoising very good results. Analog signals on the 100% increase in noise)

说明：  在matlab环境下利用bp网逼近某青霉素发酵过程。(Bp network approximation using a penicillin fermentation process.)

导体的电感　电容　特性阻抗曲线　的ＭＡＴＬＡＢ模拟(Conductor inductance capacitance characteristic impedance curve of the MATLAB simulation)

说明：  最近看到有人提问怎样用FFT实现频谱分析，我认为能够进行到频谱分析的人，对于系统研究的深度基本上已经相当不错了。本人今天做了一个例程，发给大家参考一下。 历程主要内容(signal_analyzer.rar)如下： test1.txt 第一列为时间t，0.001s为步长；第二列为系统的输入信号；第三列为系统的输出信号。 signal_analyzer.m首先将test1.txt 的数据读入workspace，然后进行FFT，分析出两信号的频率，输出对于输入的幅值衰减（db），输出对输入的相位差。(The question was asked recently to see the realization of how to use FFT spectral analysis, I think that spectral analysis can be carried out to those who study the depth of the system basically is already quite good. Today I made a routine, distributed to Members for reference. The main contents of the course (signal_analyzer.rar) are as follows: test1.txt the first time as t, 0.001s for the step the second as the system input signal the third as a system output signal. signal_analyzer.m first test1.txt data read into workspace, and then proceed to FFT, analysis of the two signal frequency, output amplitude for input attenuation (db), the output of the input phase difference.)

说明：  用SIMULINK编写的二自由度车建模，一为数据文件，一为建模文件(SIMULINK prepared with the two degree of freedom model cars, as a data file, a document for Modeling)

经典数据挖掘的MATLAB代码，非常全面！非常好用，欢迎大家下载使用~(Mining in the classical algorithm of MATLAB code is very comprehensive! Very easy to use, welcome to download ~)