model-PV-array-in-MatlabSimulink

matlab编写的一个蚁群算法在连锁网点选址的程序，对研究蚁群算法及其应用的各位有参考价值(matlab prepared a chain of outlets in the ACO site selection process, the study of ant colony algorithm and its application reference you are)

用matlab来评价金属元素污染程度，以判断污染的程度，其中污染的程度又分为不同等级。(use matlab to descripe metal)

Eplan Elecrical for electical circuits designs

稳健的自适应波束形成算法，常用mse准则算法(Robust adaptive beamforming algorithm, commonly used criterion algorithm mse)

这个是详细的粒子群算法代码。大家可以借鉴参考。(This is the detailed particle swarm optimization code. We can learn from the reference.)

PSO和GA算法针对RBF网络优化，分别为PSO和GA的，RBF网络的程序结构给出了，只需要稍加改动即可(PSO、GA algorithm for RBF network )

基于MMSE算法的自适应均衡LMS算法仿真，采用AR模型(MMSE algorithm based on LMS adaptive equalization algorithm simulation, the use of AR model)

此文档是基于matlab的Gauss-Seidel Method的实验报告，没有matlab代码，可供大家参考。(This document is based on the Gauss-Seidel Method matlab experimental report, no matlab code, for your reference.)

排队mm1，排队系统的仿真，MM1系统的仿真。(Queuing mm1 queuing system simulation, MM1 system simulation.)

DCT and Image Compression In the JPEG image compression algorithm, the input image is divided into 8-by-8 or 16-by-16 blocks, and the two-dimensional DCT is computed for each block. The DCT coefficients are then quantized, coded, and transmitted. The JPEG receiver (or JPEG file reader) decodes the quantized DCT coefficients, computes the inverse two-dimensional DCT of each block, and then puts the blocks back together into a single image. For typical images, many of the DCT coefficients have values close to zero these coefficients can be discarded without seriously affecting the quality of the reconstructed image. The example code below computes the two-dimensional DCT of 8-by-8 blocks in the input image, discards (sets to zero) all but 10 of the 64 DCT coefficients in each block, and then reconstructs the image using the two-dimensional inverse DCT of each block. The transform matrix computation method is used.