LMS

MIMO系统模型的MATLAB仿真，对于理解MIMO-OFDM系统特点很有好处(MATLAB simulation of MIMO system model for understanding the characteristics of MIMO-OFDM system is very advantageous to)

通过位移,速度这六个量来求得飞行器轨道的六个基本要素(Through displacement, velocity, volume of these six aircraft to strike the six basic elements of the track)

MATLAB/Simulink属于一种通用的科学计算和系统仿真语言。在MATLAB/Simulink下，从数学模型到计算机仿真模型的转换非常容易。MATLAB/Simulink提供了三种?方法：(MATLAB/Simulink is a general-purpose scientific computing, and system simulation language. In MATLAB/Simulink from the mathematical model to a computer simulation model of the conversion is easy. MATLAB/Simulink to provide ? three methods:)

matlab编写的图像边缘直方图提取程序，最后结果包含了归一化边缘梯度直方图（矩阵第-行），相应量化区间均值（矩阵第二行），相应量化区间均方差（第三行），具体见从程序，有注释(write histogram matlab image edge extraction procedures, the final result contains a normalized edge gradient histogram (Matrix- line), corresponding quantization interval mean (matrix second row), corresponding quantization interval mean square error (third row), see in particular from the program, there is a comment)

代码检查的PC-lint工具源码,实现在Windows上图形化检测代码是否符合规范。(the source code of PC-lint on windows)

说明：  looking the nearest distance

理想低通滤波器特性曲线绘制 频率图分析 升余弦滤波器特性曲线绘制 频谱图分析 部分响应系统滤波器特性曲线(Ideal low-pass filter frequency characteristic curve analysis drawn up cosine filter characteristic curve analysis part of the spectrum mapping system filter response curve)

Code in matlab about Huffman Codification.

说明：  有监督的特征选择和优化程序MATLAB代码，基于最小二乘算法。内有测试数据，和详细程序说明(Least-Squares Feature Selection (LSFS) is a feature selection method for supervised regression and classification. LSFS orders input features according to their dependence on output values. Dependency between inputs and outputs is evaluated based on an estimator of squared-loss mutual information called LSMI)

这个MATLAB软件包实现了小波在一维Gabior样转换的文件中所述： [1] K.N.乔杜里，M.，王凤琴，“建设希尔伯特变换的双 波基和Gabor变换，“对信号的IEEE交易 加工，第一卷。 57，没有。 9，3411-3425，2009年9月。 作者：K.N.乔杜里。 模块如下： --------------------------- 1。 demo.m 一个简单的例子演示软件的使用。 2。 autcorr.m 计算自相关函数的频率响应。 3。 filters.m 计算尺度和小波滤波器。 4。 projectionFilters.m 到近似计算的投影最小二乘过滤器 空间。 5。 analysis.m 计算复杂的小波子在不同的分辨率。 6。 synthesis.m 从低通逼近和重构原始信号 小波系数。 7。 displayResults.m 显示输入信号，真实，小波虚componenets 子带，在每一项决议和其modlus和相位，也是 重建信号和错误的。 8。 exception.m(This MATLAB package implements the Gabior-like wavelet transform in 1-dimension as described in the paper: [1] K.N. Chaudhury, M. Unser, "Construction of Hilbert Transform Pairs of Wavelet Bases and Gabor-Like Transforms," IEEE Transactions on Signal Processing, vol. 57, no. 9, pp. 3411-3425, September 2009. Author: K.N. Chaudhury. The modules are as follows: --------------------------- 1. demo.m Demonstrates the usage of the software with a simple example. 2. autcorr.m Computes the frequency response of the autocorrelation function. 3. filters.m Computes the scaling and wavelet filters. 4. projectionFilters.m Computes the filters for the least-squares projection onto the approximation spaces. 5. analysis.m Computes the complex wavelet subbands at different resolutions. 6. synthesis.m Reconstructs the original signal from the lowpass approximation and the wavelet coefficients. 7. displayResults.m Disp)