Untitled

说明：  Ds直扩系统的一个仿真，不错的，可以看看(Ds DSSS system, a simulation, good, take a look at)

说明：  KSVD算法PPT，很好很生动形象，易懂(KSVD)

主要讲述了c的一些应用程序及其在具体地方的应用(C described some of the major applications and applications in specific areas)

用 MATLAB 实现简单的信道估计 用 MATLAB 实现简单的信道估计 (channel estimated)

利用函数MadHG生成规则LDPC码的校验矩阵H，其行重为6,列重为3,行数为列数一半(行数越大越好)，H中任意两列没有围长为4的圈，并得到H对应的生成矩阵G，可以保证mod(G*H ,2)=0。使用方法为:[H,G] = MadHG(m,n,x),x= 1(得到的G左半部分为单位阵) or 2(G右半部分为单位阵),(use function MadHG Generation rules LDPC check matrix H, re-6, series of three, out for a few half of the number (A bigger the better), H 2 arbitrary no girth of the four circles, H counterparts and with the formation of matrix G, we can be assured of mod (G* H, 2) = 0. To be used : [H, G] = MadHG (m, n, x), x = 1 (the G part of the Left Front units) or 2 (G right half of the units RUF),)

time-invariant degradation models and stationary signals and noise, the classical Fourier domain Wiener filter, which can be implemented in O(N logN) time, gives the minimum mean-square-error estimate of the original undistorted signal. For time-varying degradations and nonstationary processes, however, the optimal linear estimate requires O(N2) time for implementation. We consider filtering in fractional Fourier domains, which enables significant reduction of the error compared with ordinary Fourier domain filtering for certain types of degradation and noise (especially of chirped nature), while requiring only O(N logN) implementation time. Thus, improved performance is achieved at no additional cost. Expressions for the optimal filter functions in fractional domains are derived, and several illustrative examples are given in which significant reduction of the error (by a factor of 50) is obtained.

形态学实现代码，腐蚀，膨胀，开运算，闭运算等(Morphological implementation code, erosion, dilation, opening operation and closing operation, etc.)

超实用的matlab函数使用文档说明,有很多哦~,分几个包上传(ultra-practical use of Matlab function documents show that there are many-oh, a few hours .. Upload Packet)

径向基函数神经网络，资源分配神经网络，可以设计出结构最精简的径向基函数神经网络(Radial basis function neural network, resource allocation, neural network, we can design the most streamlined structure of radial basis function neural network )

对并联机构五自由度系统中的伸缩杆与摆动杆上受的力进行加载与分析(Loading and analysis of the five degrees of freedom parallel mechanism system of the telescopic pole and swing pole by force)