new-lms-arithmetic-simulation-code

插值matlab源程序,附使用说明,包括拉各朗日插值,牛顿插值,及示例(Interpolation matlab source, with the use of notes, including the pull of the Long Day interpolation, Newton interpolation, and examples)

matlab常见问题集,不错的资料哦,MATLAB初学者很有帮助(Frequently Asked Questions matlab, good information Oh, MATLAB helpful for beginners)

压缩文件中提供了matlab时频工具箱中函数详细说明，demo实例。含有较多的应用例子，便于理解。与大家分享。(Compressed file is provided in time-frequency toolbox matlab function in detail, demo examples. The application contains more examples, easy to understand. To share with you.)

Model Predictive Control exercise pt 2

利用蚁群算法通过matlab寻找旅行商问题的最优路径(The optimal path of ant colony algorithm for traveling salesman problem)

Aerospace Toolbox 1.0 and Aerospace Blockset 2.2 made it easier to model and simulate aircraft dynamics in Simulink.

最小二乘法 趋势项去除 程序 原理 matlab(matlab)

基于超平面 欠定盲分离源信号的混合矩阵的估计(underdetermined Blind Source Separation)

基于matlab人脸检测的方法很多，pca是其中比较有效的一种。本代码主要是使用pca的方法进行人脸检测，可以检测出人脸的位置，数目，大小(Matlab-based Face Detection many ways, pca which is the more effective one. The code is the use of the method pca Face Detection can be detected Face the location, number, size)

说明：  modem.qammod对象实现M-QAM调制器，本示例中M为16。其输入参数是从0到15的整数而不是4bits二进制数据。因此，在利用此对象的modulate方法之前需要对二进制数据序列x进行预处理。特别地, 先采用MATLAB中的reshape函数将x沿着矩阵的行方向重新整理成每行4bit数据，然后应用bi2de函数将4bit数据转换成相应的整数。(modem.qammod object implements M-QAM modulator M in this example is 16. Input parameter is an integer from 0 to 15 instead of 4bits binary data. Therefore, before using the method of this object needs to modulate the binary data sequence x pretreatment. In particular, the first use of MATLAB reshape function x 4bit rearranged into each row of data in the row direction of the matrix, and then apply bi2de 4bit function to convert the data into the corresponding integer.)