Matlab

小波分析理论与Matlab实现例程，包含了小波变换在各个领域的应用(Implementation of wavelet analysis theory and Matlab routines, including the wavelet transform applications in various fields)

MATLAB通过DCT对图像进行区域编码以及门限编码压缩(MATLAB through the DCT to do image region code and threshold coding compression )

利用matlab软件对图形进行模糊处理，得到运动模糊图像(Using matlab software graphics obfuscated to get motion-blurred images)

Canny edge detection

关于“pMatlab”（from MIT) 工具在Matlab 环境中使用的说明(word），附例子和相应的“startup”文件以及pMatlab 工具包(On pMatlab (from MIT) tool in the Matlab environment description (word), attached to the corresponding examples and startup file, as well as toolkits pMatlab)

stbc for 2 tx and 2 rx

简易的三角波发生器代码，可以产生正确的三角波，MATLAB新建M-FILE，然后RUN即可(Simple triangular wave generator code, you can generate the correct triangle wave, MATLAB new M-FILE, then RUN to)

简单的实例，介绍了基本的用法，适合有一定基础的学者，可以巩固自己的知识(Simple example, describes the basic usage, there is some basis for scholars, can consolidate their knowledge)

主要描述了matlab中拟合与插值的方法，用插值法来应对实验数据不足的情况。(the code is mainly about the interpolation and fitting.If you don t have enough interpolation, you can use it.)

在工程应用中 经常会遇到一些复杂的非线性系统, 这些系统状态方程复杂, 难以 用数学方 法准确建模。 在这种情况下, 可以 建立 BP 神 经网 络表达这些 非 线 性系 统。 该方法把未 知 系 统看成是一个黑箱, 首先用 系 统 输入输出 数据 训 练 BP 神 经网 络, 使网 络能 够表达该未 知 函 数, 然后就可以 用训练好的 BP 神经网络预测系统输出 。 本章拟合的非线性函 数为 y = x1^2+x2^2. 。 (In engineering applications often encounter some complex nonlinear systems, which complicated the equation of state, can not be accurately modeled mathematically. In this case, BP neural network can be established to express these nonlinear systems. The method of the unknown system as a black box, the first input and output data with systematic training BP neural network, the network can express the unknown function, then you can use the trained BP neural network forecasting system output. Chapter for fitting non-linear function y = x1 ^ 2+x2 ^ 2..)