active-noise-reduction

Tiny Voice—is based on a low-cost, 20-pin single-chip controller. It’s a speaker-dependent, templatebased, isolated-word recognizer. You train it to recognize your voice.

这是一篇很好的有关信道估计的文章， 可以用来快速的了解信道估计的基本内容(and MAI induced by multiple-input, multiple-output channels. In particular, this article reviews the typical inverse filter criteria (IFC) based algorithm, super-exponential algorithm, and constant modulus algorithm along with their relations, performance, and improvements. Several advanced applications of these algorithms are illustrated, including blind channel estimation, simultaneous estimation of multiple time delays, signal-tonoise ratio (SNR) boost by blind maximum ratio combining, blind beamforming for source separation in multipath, and multiuser detection for direct sequence/code division multiple access (DS/CDMA) systems in multipath.)

Matlab高级讲义的例程。包括Matlab语音和simulink以及控制系统。(the Matlab routines. Including voice and Matlab Simulink and control systems.)

用matlab产生cts,dts信号的一个例子程序(an example to use matlab to generate the cts and dts signals)

double side band modulation code

混沌chen系统的仿真代码，用预估校正法编写(Chaos chen system simulation code, written in predictor-corrector method)

创建记事本数据库，M文件可直接运行，修改文件路径(Create a Notepad database, M files can be run directly modify the file path)

黄金分割法求最小值，验证通过。可以在指定区间内，求得最小值(Golden section method for the minimum, verified by. Be within the specified range, the minimum value is obtained)

求解Chen系统的最大lyapunov指数。求解方法为定义法。两条相轨线的步长为初设距离d0的基础上加上相对分量。求解时直接运行chen_lyapunov.m即可。可移植性强，比如换求其他系统的最大lyapunov指数，只需要改变变量数目，方程即可。(Solving the maximum lyapunov index Chen system. Solving method for defining method. Plus the relative weight of the two basic steps of the phase trajectories for the preliminary design of the distance d0. Can be run directly chen_lyapunov.m solving. Portability, such as changing the index for the largest lyapunov other systems, you only need to change the number of variables, the equation can be.)

蒙特卡罗法的MATLAB源程序、MATLAB例程。(MATLAB source code of the Monte Carlo method, MATLAB routines.)