PQ_controlled_DG

mfcc coefficient means mel frequency cepstral coefficient

高斯消元法MATLAB实现，小报告形式展现(Gaussian elimination MATLAB implementation)

M和m序列发生器，用于扩频通信中产生长度为2^N和2^N-1的伪随机码。同时还有产生bpsk调制的扩频调制和解调系统仿真，以及gold码的mat文件。(M and m sequence generator.Used for spread spectrum communication to generate the spread code.As well as bpsk spread spectrum system communication simulation.)

Low density parity check matrix(Description A program written for generating LDPC matrix in the as pattern as discussed in the research paper , " Time varying periodic convolutional codes with low density parity check matrix" by Alberto jiménez Felströ m and Kamil Sh. zigangirov IEEE Transaction on information theory vol 45 no 6 sept 1999. pages 2181-2191)

说明：  精通matlab综合辅导与指南 包括很多例程 对初学者有很大的帮助(Proficient in matlab comprehensive guidance and guidelines include many routines for beginners are of great help)

Chebfun is an open-source software system for numerical computing with functions. The mathematical basis is piecewise polynomial interpolation implemented with what we call “Chebyshev technology”. The foundations are described, with Chebfun examples, in the book Approximation Theory and Approximation Practice (L. N. Trefethen, SIAM 2013). Chebfun has extensive capabilities for dealing with linear and nonlinear differential and integral operators, and also includes continuous analogues of linear algebra notions like QR and singular value decomposition. The Chebfun2 extension works with functions of two variables defined on a rectangle in the x-y plane.

33节点的配电网重构程序，基于粒子群算法。相当快速。但是需要再修改源码才可以重新生成数据。(33 node distribution network reconfiguration procedures, based on particle swarm optimization. Pretty fast. But the need to modify the source code before they can re-generate the data.)

说明：  通过并行压缩进行二维信号压缩，提出了一种利用并行压缩传感技术对二维信号进行压缩的新方案。根据这个原理，译码器的重新构造可以并行进行。通过对二维信号进行某些排列，可以确保所有列具有大致相同的密度级别，并且可以使用相同的测量矩阵进行采样。这样可以避免二维信号的矢量化，从而大大减小测量矩阵的尺寸。我们证明，如果排列良好，重建均方误差的上限会更紧。为了说明这一方案，我们将其应用于视频压缩并使用不同帧的排列有两种：参考帧的基于Z字形扫描的排列和非参考帧的基于块测试的排列。仿真结果表明，在相同的压缩比下，峰值信噪比比比在无置换情况下可提高3-7db左右。(we propose a new scheme to compress 2D signals using parallel compressed sensing. According to this seheme, the reeonstruction at the decoder can be performed in parallel. By performing certain permutation on a 2D signal, all columns are insured to have approximately the same density level and can be sampled using the same measurement matrix. In this way, vectorization of a 2D signal can be avoided, and thus the size of the measurement matrix can be dramatically reduced. We prove that with a good permutation, we can have a tighter upper bound on reconstruction mean square error. To illustrate this scheme, we apply it to video compression and use two kinds of permutations for different frames: the zigzag-scanbased permutation for reference frames and the block-test-based permutation for non-reference frames. Simulation results show that under the same compression ratio, the peak signal-to-noise ratio can be improved by approximately 3-7 dB compared to the case without permutation.)

说明：   基本粒子群优化算法Matlab源程序 (Elementary particle swarm optimization algorithm Matlab source code)

说明：  应用于基因算法来调整最佳的PID控制器,程序结果含系统响应与收敛(Genetic algorithm is applied to adjust the optimal PID controller, the program results including system response and convergence)