MMSE_MSE_calc

估计随机信号的样本自相关序列。以及基本的信号处理程序代码(Estimated random sample of the signal autocorrelation sequence. And basic signal processing code)

用有限差分方法计算模式的使用模拟介质波导法(This function calculates the modes of a dielectric waveguide using the semivectorial finite difference method)

数字信号处理书籍的matlab程序,内含许多数字信号处理内容,值得下载(Kam-Li jin 氲?嚬鞛?scorpion 靹濍彣 matlab 雱?Saitama, 旖旊驳 Ji Li Kam 霚?catties 氲?嚬鞛快綌頊? so 霃?Gou tong)

说明：  2个程序，MATLAB设计的一个滤波器，将含3个频率分量的信号通过该滤波器，滤除2个高频分量，得到只含低频的信号。 单边带信号调制，用MATLAB实现，是学习信号调制的一个好例子。(Two procedures, MATLAB design a filter, will contain three frequency components of the signal through the filter, filter out high frequency components of two, has been only with low-frequency signal. SSB signal modulation, using MATLAB to achieve, is to study signal modulation of a good example.)

通过一点来选取图像区域，手动选取图像中的一点，可以讲这个点周围的一定区域提取出来(Through a point to the image area，manual one point in a image，then we can get an area around this point)

相空间重构,以及绘制相空间图. 程序并不复杂,但运行效果良好.(phase reconstitution, and phase graphic mapping.)

说明：  利用Matlab可视化编程设计一个界面，实现对几种常见分布的随机抽样并进行曲线拟合，最后用图像直观地表现出来(Using Matlab to design a visual programming interface, to achieve some common distribution of random sampling and curve fitting, and finally with the image shown visually)

画图瑞利背景下CA CFAR检测性能比较的Matlab程序 (plot a figure speed platform where both the target and the clutter have range walk. In this method, for efficient clutter suppression the clutter’s range walk)

simulink files for fsk modulation and demodulation

说明：  经验模态分解（Empirical Mode Decomposition，简称EMD))方法被认为是2000年来以傅立叶变换为基础的线性和稳态频谱分析的一个重大突破，该方法是依据数据自身的时间尺度特征来进行信号分解，无须预先设定任何基函数。这一点与建立在先验性的谐波基函数和小波基函数上的傅里叶分解与小波分解方法具有本质性的差别。(Empirical mode decomposition (EMD) method is considered as a major breakthrough in linear and steady-state spectrum analysis based on Fourier transform since 2000. This method decomposes signals according to the time scale characteristics of the data itself, without setting any basis function in advance. This is essentially different from Fourier decomposition and wavelet decomposition based on prior harmonic basis function and wavelet basis function.)