hopfield2

说明：  最基本的直接扩频中如何用m语言编写语句产生pn序列(generate pn sequence )

DSP windowing function

基于dwL的数宇水印程序，，一维离散小波变换(dwL based on the number of buildings watermarking procedure, a peacekeeping DWT)

本算法为自适应LMS算法，本算法研究了步长对，权初值，以及是否归一化对算法的影响(The algorithm for the adaptive LMS algorithm, the algorithm of the steps right, the right initial value, and whether the normalization of the algorithm)

基于matlab的数字音效处理器，具有语者识别，八段数字均衡器(Matlab-based digital audio processor with speaker identification, eight digital equalizer)

应用某旋转阵列进行声全息的等效源计算程序，加上正则化及相位计算部分就可以工程应用了。(A work acoustic array function. A mfile of NAH by ESM. please add the regulation function for actually work.)

ev-MOGA Multiobjective Evolutionary Algorithm has been developed by the Predictive Control and Heuristic optimization Group at Universitat Politècnica de València. ev-MOGA is an elitist multi-objective evolutionary algorithm based on the concept of epsilon dominance. ev-MOGA, tries to obtain a good approximation to the Pareto Front in a smart distributed manner with limited memory resources. It also adjusts the limits of the Pareto front dynamically.

admam‘s自适应差值算法的matlab实现(bayer demosaicking algorithm ACPI using matlab. ACPI: adaptive color plane interplotation)

randomly distribute Ue in Macro eNB

机器学习中的垃圾邮件分类程序，用matlab做的。从以下链接下载垃圾邮件数据（spam data）：(数据已下载，放在spambase.zip) http://www-stat.stanford.edu/~tibs/ElemStatLearn/index.html 该数据包含57个邮件信息相关的变量，每条邮件可以被分类为垃圾邮件（Y=1）和非垃圾邮件（Y=0）。输出Y的值在文件中每一列的末尾。练习的目标是要预测电子邮件是否为垃圾邮件。 (Machine Learning spam classification procedures, using matlab to do. Data (spam data) from the following link to download the junk mail: (data has been downloaded, put spambase.zip) http://www-stat.stanford.edu/ ~ tibs/ElemStatLearn/index.html The data includes 57 e-mail messages related variables, each message can be classified as spam (Y = 1) and non-spam (Y = 0). Y value of the output end of each column in the file. The goal is to predict exercise email is spam.)