variable_step_LMS

matlab 数字图像信号的频域分析及仿真 将二维数字图像进行傅立叶频域分析，并且做了图像幅度谱重建和相位谱重建，通过这个例子大家可以明白相位比振幅更重要。(matlab digital image signals in frequency domain analysis and simulation of two-dimensional digital image Fourier frequency domain analysis, and has done a reconstruction of the image amplitude spectrum and phase spectrum reconstruction, by this example we can understand the phase is more important than the amplitude.)

外点罚函数法，用于求解非线性优化问题，适用于matlb程序(Outside the penalty function method for solving nonlinear optimization problems for matlb program)

公历转换成儒略日,本程序只有在1900年3月1日至2100年2月28日?转换才有效。(change calendar to Julian Day)

结构分析的有限元法与matlab程序设计4-2(Structural analysis of the finite element method and matlab programming 4-2)

运用matlab软件进行6自由度并联机构工作仿真程序,(Using matlab software work parallel mechanism simulation program,)

基于BSC信道的simulink仿真模拟( U57FA u4A1 uli)

用蚁群算法解决TSP问题，这是我从MATLAB中文论坛找到的。(TSP with ant colony algorithm to solve the problem, which I found from the MATLAB Chinese Forum.)

说明：  实现卡尔曼滤波，可以看出，滤波过程是以不断地“预测—修正”的递推方式进行计算，先进行预测值计算，再根据观测值得到的新信息和kalman 增益（加权项），对预测值进行修正。由滤波值可以得到预测，又由预测可以得到滤波，其滤波和预测相互作用，并不要求存储任何观测数据，可以进行实时处理。(Kalman filtering, can be seen, the filtering process is constantly &quot forecast- Fixed&quot recursive manner calculated to predict the value of the first, and then according to the new information should be observed and the kalman gain (weighted items), on predictive value of the amendment. Value can be predicted by the filter, but also can be filtered by the forecast, and its interaction filtering and prediction, does not require the storage of any observational data, real-time processing.)

这是一个LZW解压的matlab子函数程序和主函数，要结合我第一个上传的LZW压缩来看，这样有助于理解，效果很少明显，压缩率80 以上，不懂的跟我联系，我交你！！！我弄懂了！(It is a realisation of lzw decompression.Its compression ratio is beyond 80 .Its compression source is the first file which I have uploaded.If you have some questions,you can contact with me.)

用matlab实现LMS自适应算法，20阶的fir滤波器，自适应效果非常好。(Matlab LMS adaptive algorithm, two order of fir filter, the adaptive effect is very good.)