polysimu1

包含了偏微分方程图像处理一些经典算法的matlab实现，如热扩散、非线性扩散等，便于快速入门(Partial differential equations contain a number of classical image processing algorithm matlab realize, such as thermal diffusion, nonlinear diffusion, etc., to facilitate the rapid entry)

雷达信号系统仿真 包括雷达信号系统的整个结构和模块，对初学者有用(radar signal simulationg)

经典FDTD程序Taflove书随书光盘源代码,适合于matlab初学者(classic FDTD program source code in CD-ROM of a Taflove book，suitabal for beginners in matlab)

VC调用MATLAB编译的D(VC Calling MATLAB Compiler DLL )

运用星座图重排策略的HARQ方案，与chhase combined 方案的比较仿真 (Using constellation rearrangement strategy HARQ scheme, comparing simulation program chhase combined)

盲用户LMS算法,为现代信号处理书上的程序。可出书本上的SIR图。(mang adociptive LMS )

document example example

这里实现的卷积码译码器可实现（n,1,K）的卷积译码，即一个输入码元，n个输出码元，编码器的约束长度为K，采用函数的默认值将实现（2,1,7）的卷积译码。译码方法为维特比硬判决译码，且译码开始状态假定为全零状态。(Here to realize convolutional code decoder can realize (n, 1, K) convolutional decoding, namely an input element, n output element, encoder constraint length is K, takes the default value of function, achieve the convolutional decoding,1,7 (2). Decoding method for decoding victor than hard decisions, and decoding the start state assumed to zero state.)

说明：  BP神经网络分类，用于分类语音片段。来源于matlab43个案列教程(BP Neural Network Classification)

We formulate a scheduling problem that takes into account different hardware delays experienced by the secondary users (SUs) in a centralized cognitive radio network (CRN) while switching to different frequency bands. We propose a polynomial-time suboptimal algorithm to address our formulated scheduling problem. We evaluate the impact of varying switching delay, number of frequencies, and number of SUs. Our simulation results indicate that our proposed algorithm is robust to changes in the hardware spectrum switching delay and its performance is very close to its upper bound. We also compare our proposed method with the corresponding constant switching delay-based algorithm and demonstrate that our suggestion of taking into account the different hardware delays while switching to different frequency bands is essential for scheduling in CRNs.