jixianquchu

首先录入一段音频，在通过matlab软件对该音频进行处理，识别出他的波峰波谷，频率变换，然后输出。(First, an audio input, matlab software through the audio processing, identify the peaks and valleys of his, frequency conversion, and output.)

用MATLAB生成QPSK信号，并通过瑞丽信道和AWGN信道的仿真。(MATLAB QPSK signal generation, and through Ruili Channel and AWGN channel simulation.)

本程序是关于K变化的LMS算法，可用于水声信道，有图(This program is the LMS algorithm, on the change in K can be used for underwater acoustic channel, Figure)

一个给予matlab编写的2维TM波的FDTD程序(Matlab prepared to give a two-dimensional TM wave FDTD program)

time series analysis

基于matlab数字图像处理技术随书源代码第10章(Based on matlab digital image processing technology with the book source code Chapter 10)

把辨识分成两步进行：第一步：利用相关分析法获得对象的非参数模型（脉冲响应或相关函数）；第二步：利用最小二乘法、辅助变量法或增广最小二乘法等，进一步求的对象的参数模型。如果模型噪声与输入无关，则Cor-ls相关最小二乘法（二步法）可以得到较好的辨识结果。Cor-ls相关最小二乘法（二步法）实质上是先对数据进行一次相关分析，滤除了有色噪声的影响，再利用最小二乘法必然就会改善辨识结果。能适应较宽广的噪声范围，计算量不大，初始值对辨识结果影响较小。但要求输入信号与噪声不相关(The identification is divided into two steps: the first step: using the correlation analysis method for object nonparametric model (impulse response or related function) The second step: using the least squares method, auxiliary variable method or augmented least squares method and so on, further for the parameters of the object model. If the model input noise and independent, the Cor- ls related least squares (two footwork) can get good recognition results. Cor- ls related least squares (two footwork) is essentially the data to a correlation analysis, filter in addition to the influence of colored noise, using least squares inevitable will improve the identification result. To adapt to a wide range of noise and calculation is not big, the initial value to identification results less effect. But for the input signal and noise are not related)

This script allows to know the compression ration between two images

MATLAB源程序，主成分分析法（PCA），这是一种降维的方法，可以用于多通道数字信号处理(MATLAB source code, principal component analysis (PCA), which is a dimension reduction method can be used for multi-channel digital signal processing)

Position Localization