chap4_1

说明：  对一个非线性的滤波器设计进行优化，使得设计出的滤波器与给定指标最接近且要求优化变量取离散值得优化设计问题(Of a non-linear filter design is optimized, making the design of the filter and to set targets and optimize the variable closest to the requirements and obtain the optimal design of discrete worth)

Bit error rate of MIMO using Zero forcing and MMSE Equalizer

floyd算法，代码简单易学，而且配有示例。(floyd algorithm, the code is easy to learn, and with examples.)

A Simple Digital Communication Receiver_2_

数独的程序，MCM2008B 可以参考一下(Sudoku procedures, MCM2008B reference)

MIMo communication system simulation source code

说明：  使用维纳滤波器对信号进行处理，得到噪声状况下的信号，这个滤波器是数字信号处理中非常经典的一个。代码里还提供了维纳的AR参数估计(Wiener filter to use signal processing, noise signal conditions, this filter is digital signal processing in a very classic. There is also a code of the AR Wiener Parameter Estimation)

用matlab中simulink做的非均匀量化信源编码系统图，可以对比量化前后波形图(simulink )

Pattern search (also known as direct search, derivative-free search, or black-box search) is a family of numerical optimization methods that does not require a gradient. As a result, it can be used on functions that are not continuous or differentiable. One such pattern search method is "convergence" (see below), which is based on the theory of positive bases. Optimization attempts to find the best match (the solution that has the lowest error value) in a multidimensional analysis space of possibilities.

pid程序设计，开发与matlab环境 可自行修改仿真(matlab)