Reed_Solomon_code_matlab

利用自适应滤波来滤除脑电信号采集过程中的50Hz工频干扰(Filter the power line interference based on adaptive filter for EEG)

基于支持向量机的语音信号端点检测，主要是去掉首位的噪声。(Voice signal endpoint detection based on support vector machines, mainly to get rid of the first noise.)

说明：  小球碰撞动画，实现小球与大球在碗中碰撞的动画演示(Ball collision animations to achieve a small ball and big ball in the bowl animation of the collision)

all image processing toolboxes

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 but, 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.

产生QPSK信号，根据仿真的数据估计差错概率(Produce QPSK signal and estimate the data according to the error probability)

K -Plets Graph Theory based. (K-Plets Graph Theory based. )

this is matlab book on digital signal processing.

DCT 2D function for signal

The tools in this directory implement the de-noising procedures described in the articles of Donoho and Johnstone and collaborators