SolvingODEswithMatlabInstructorsManual

自编图像退化程序，包括图像的模糊与加噪，解释详细，希望对学习图像复原的朋友有所帮助。(Self image degradation process, including blur and add noise, a more detailed explanation, I hope the friends of learning image restoration help.)

一个基于四发二收天线系统的matlab无线传输例程(based on a four received two antenna system of wireless transmission of Matlab routines)

包括四个.m文件，采用16QAM调制，添加循环前缀与后缀，加窗处理，防震性能很好。(Including four. M files using 16QAM modulation, add cyclic prefix and suffix, window treatment.)

用于目标跟踪，目标检测后用meanshift方法进行跟踪(For target tracking, target detection method after the track with meanshift)

The sparsity of signals and images in a certain trans-form domain or dictionary has been exploited in many applications in signal and image processing. Analytical sparsifying transforms such as Wavelets and DCT have been widely used in compression standards. Recently, synthesis sparsifying dictionaries that are di-rectly adapted to the data have become popular especially in appli-cations such as image denoising, inpainting, and medical image re-construction.

这是一个采用MMSE方法实现的自适应空时多用户侦测程序，还有卷积子程序，侦测子程序，注释详细(This is a method used to achieve adaptive MMSE space-time multiuser detection process, as well as convolution subroutines, detection subroutine, comments in detail)

说明：  对用BP算法所进行的神经网络进行仿真、训练。模拟综合出我们所需要的结果。(BP algorithm by using the neural network simulation and training. Analog synthesis we need results.)

加性噪声一般指热噪声、散弹噪声等，它们与信号的关系是相加，不管有没有信号，噪声都存在。而乘性噪声一般由信道不理想引起，它们与信号的关系是相乘，信号在它在，信号不在他也就不在。(The additive noise generally refers to the thermal noise, shot noise, which is added with the signal of the relationship, or no signal, noise are present. While the multiplicative noise in general by the channel caused by non ideal, they are multiplied by the signal, signal in it, the signal is not in him is not in.)

多项式算法,使用matlab编程，里面有四种算法，进行比较(Polynomial algorithm, using matlab programming, there are four kinds of algorithms to compare)

遗传算法的Matlab源代码，能直接运行，适合初学者，很容易上手。(Genetic algorithm Matlab source code, can be directly run, suitable for beginners, very easy to use.)