Calculation-of-special-functions

使用下面的参数设计信道均衡器，其中使用两个独立的随机数发生器，一个用x(n)来表示，用来测试信道；另一个用v(n)来表示，用来模拟接收器中的加性白噪声的影响。序列x(n)是x(n)=±1的伯努利序列，随机变量x(n)具有零均值和单位方差。第二个序列v(n)具有零均值，其方差由信噪比决定。均衡器有11个抽头。(Use the following parameter design of channel equalizer, which uses two separate random number generator, one with x (n) to indicate, to test the channel the other with v (n) to indicate to simulate the receiver in The additive white noise. Sequence x (n) is x (n) = ± 1 of the Bernoulli sequence of random variable x (n) with zero mean and unit variance. The second sequence v (n) has zero mean, its variance decision by the signal to noise ratio. There are 11-tap equalizer.)

线性码，包含生成矩阵，冗余校验矩阵，编码，译码，十进制二进制转换等等(linear code, including generate matrix, parity check matrix, syndrome decoding, decimal to binary converter and so on. )

这是一个HDB3码型转换的GUI程序，可以实现对任意输入的序列进行AMI hdb3的编码解码的波形输出。(This is a converter of the HDB3 code GUI program can be achieved for any input sequence AMI hdb3 coding and decoding of the waveform output.)

it is a source code for clustering in MATLAB

this is the file for rasbery pi program in beween the master and slave device

数值分析, 同济大学教材<<现代数值数学和计算>>数值分析课程所有算法的matlab代码,所有例程均经过测试,私家珍藏(Numerical Analysis, Tongji University teaching <<modern numerical mathematics and computing>> numerical analysis courses all algorithm matlab code, all the routines have been tested, private collection)

人工神经网络的6个基本问题，matlab代码。(six basic problem in neutral network with matlab)

【谷速代码】matlab源码 NSCT与PCNN结合的图像融合算法 可以作为参考使用，程序是word版本 ([Valley] matlab source code speed NSCT and PCNN combined image fusion algorithm can be used as a reference, the program is a word version)

Adaptive post-processing algorithm for video signals

本文件中包含的代码是使用Bayesian compressive sensing 理论对图像降噪，修复的程序(his package includes 4 folders. Folder toydata contains core code and demo of the original BRPCA Model Folder MarkovDependency contains core code and demos of the modified BRPCA Model with Markov dependency employed Folder NonstationaryNoise contains core code and demos of the modified BRPCA Model with Markov dependency employed and the noise variances are different from contuguous frames. Folder Videodata contains the video data used by the experiment.)