raceway

MC-CDMA的主体程序，对于初级学习者非常有用。大家多多支持啊(MC-CDMA in the main program is very useful for primary learners)

bouncing ball in matlab

以pn码为信源，通过定时同步和载波恢复。在收端得到正确的信息。(Pn in the source code for the letter, through the timing synchronization and carrier recovery. Client in the admission to be correct information.)

Fixed-Point iteration(Function fixed_point(p0, N) approximates the solution of an equation f(x) = 0, rewritten in the form x = g(x), which is a sub-function the user has to enter. the call to the function fixed_point(p0, N) returns the root of the equation f(x),i.e. the fixed-point of g(x), if the procedure is successful or a sequence of iterates in case something goes wrong. p0 is the initial approximation and N the maximum number of iterations. If, after N iterations, condition |x(k)- x(k-1)| < tol is not satisfied, all iterated values will be displayed, accompanied by a message asking the user to either change p0 in case of divergence or enter another g(x) that does not lead to complex numbers arithmetics. Reasons for the program to go wrong are the divergence of iterates and/or appearance of complex numbers for example with functions involving sqrt(x) when one of the iterates is negative. )

递归式最小均方（RLS）算法的基本思想是力图使在每个时刻对所有已输入信号而言重估的平方误差的加权和最小，这使得RLS算法对非平稳信号的适应性要好。与LMS算法相比，RLS算法采用时间平均，因此，所得出的最优滤波器依赖于用于计算平均值的样本数，而LMS（NLMS）算法是基于集平均而设计的，因此稳定环境下LMS（NLMS）算法在不同计算条件下的结果是一致的(Recursive least-mean-square (RLS) algorithm for the basic idea is to try to make in every moment of all the input signal in terms of re-evaluation of the weighted squared error and the smallest, which allows non-stationary RLS algorithm for adaptive signal better. Compared with the LMS algorithm, RLS algorithm uses the average time, therefore, the resulting optimal filter depends on the used to calculate the average number of samples, and the LMS (NLMS) algorithm is designed based on set average, and therefore a stable environment LMS (NLMS) algorithm in different conditions, the results of the calculation is consistent)

冈萨雷斯数字图像处理，北京大学的课程课件。(Gonzalez Digital Image Processing, Peking University courseware.)

深度典型相关分析的python实现，DCCA是Galen Andrew于2013年发表于ICML上的一篇文章，提出了将深度网络与CCA结合的新方法。(Deep canonical correlation analysis)

这个文件的功能是实现各种DOA估计算法的性能仿真验证，并完成DOA估计中MUSIC算法、Capon算法以及延迟相加算法性能比较的仿真验证的功能(This file is the function of various DOA estimation algorithms to achieve the performance simulation, and complete the MUSIC DOA estimation algorithm, Capon algorithm and delay sum algorithm performance comparison of the simulation function)

matlab code for optical flow lk algorighm

miltipath channel estimation.......