EventImpl

功能简单，实现了加减乘除，取余等简单功能。适合初学者使用。(Features simple addition and subtraction multiplication and division achieved, take over other simple functions. Suitable for beginners.)

Several signed LMS based adaptive filters, which are computationally superior having multiplier free weight update loops are proposed for noise cancellation in the ECG signal. The adaptive filters

图象直方图及均衡，用matlab实现了图像的直方图算法，以及均衡算法。(Image histogram equalization, using matlab image histogram algorithm, as well as balancing algorithm.)

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

EEG Signal Data DVCA Process

KSVDBox - Implementation of the K-SVD and K-SVD denoise algorithms.(K-SVD dictionary training. ksvd - K-SVD dictionary training. Signal denoising. ompdenoise - OMP denoising. ompdenoise1 - OMP denoising of 1-D signals. ompdenoise2 - OMP denoising of 2-D signals. ompdenoise3 - OMP denoising of 3-D signals. ksvddenoise - K-SVD denoising. Overcomplete DCT dictionary. odctdict - Overcomplete DCT dictionary. odct2dict - 2-D overcomplete DCT dictionary. odct3dict - 3-D overcomplete DCT dictionary. odctndict - Multi-dimensional overcomplete DCT dictionary. Demonstrations. ksvddemo - K-SVD training demonstration. ksvddenoisedemo- K-SVD denoising demonstration. Miscellaneous. showdict - Display a dictionary of image patches. ksvdver - K-SVD toolbox version information.)

IDENTIFICATION OF RULES USING SUBTRACTIVE CLUSTERING

离散无记忆信源是一种最简单且最重要的信源，可以用完备的离散型概率空间来描述。本实验通过计算给定的信源的熵，加深对信源及其扩展信源的熵的概念的理解。(Discrete memoryless sources is one of the most simple and most important information source, can be used to describe a complete discrete probability space. In this study, by computing the entropy of a given source, to deepen understanding of the source and the expansion of the concept of entropy of the source. )

MATLAB CODE FOR extrema.m, extrema2.m

matlab的信噪比处理代码，大家可以使用。(Signal to Noise Ratio)