RS_BCH_decode

In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle s position and velocity. Each particle s movement is influenced by its local best known position and is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.

基于matlab的超像素图像分割算法实现代码，将图像分割为小块表示(Matlab-based super-pixel image segmentation algorithm code, the image is divided into small representation)

IEC 61850 ed1 ed2 comparison

server virtualization

Product table for numbers in matlab

《Fundamentals of Statistical Signal Processing》（《随机信号处理基础》）的配套MATLAB源代码。为电信工程师、教师、和学生而设计。("Fundamentals of Statistical Signal Proc essing "(" Random signal processing based ") supporting MATLAB code. To the telecommunication engineers, teachers, and students designed.)

matlab数字信号处理和数字图像处理的常用函数 希望对大家有用(matlab digital signal processing and digital image processing, hope useful for commonly used functions)

HUFFMAN TREE的编码源代码 实测可用 适合初学者使用(HUFFMAN TREE actual source code is available for beginners)

函数逼近教学例子,可以选择不同训练算法。(Function approximation teaching example, you can choose different training algorithms.)

matlab Code for LCL filter design Algorithem