BLIND-SOURCE-SEPARATION

感知器感知器算法训练二元线性分类器。结构体数据使用感知器学习规则 找到给定的二分类标签数据超平面。 (PERCEPTRON Perceptron algorithm to train binary linear classifier. Synopsis: model = perceptron(data) model = perceptron(data,options) model = perceptron(data,options,init_model) Description: model = perceptron(data) uses the Perceptron learning rule to find separating hyperplane from given binary labeled data. model = perceptron(data,options) specifies stopping condition of the algorithm in structure options: .tmax [1x1]... maximal number of iterations. If tmax==-1 then it only returns index (model.last_update) of data vector which should be used by the algorithm for updating the linear rule in the next iteration. model = perceptron(data,options,init_model) specifies initial model which must contain: .W [dim x 1] ... normal vector. .b [1x1] ... bias of hyperplane. .t [1x1] (optional) ... iteration number. Input: data [struct] Labeled (binary) training data. .X [dim x num)

给出比较少见的16PSK的仿真算法，包括高斯信道，瑞利信道及线性时不变信道。其中，在瑞利信道中，给出了均衡前均衡后比较结果，从中可以看出均衡的效果(is relatively rare in the estimation algorithm, including Gaussian Channel, Rayleigh channel and the linear time-invariant channel. Of these, the Rayleigh Channel, is a balanced balanced ago after the results of the comparison, from which one can see the effect of balance)

基于云模型的评价应用研究，内容详实，有利于建模(Evaluation of applied research based on cloud model, informative, beneficial modeling)

Image classification project

this matlab code operate histogram equalization based on probability

The E-book is good to master in C.

Long-Term Evolution: Simplify the Migration to 4G Networks

MATLAB命令资料，希望对朋友们有所帮助。(err)

说明：  实现信号稀疏变换、观测矩阵设计、重构算法等一系列最新理论成果。(Achieve sparse signal transformation, observation matrix design, reconstruction algorithm and a series of recent theoretical results.)

用希尔波特分析分析雷达信号细微特征法的分析方法特点(Hilbert analysis with analysis of radar signal analysis method is characterized by subtle features)