BP-YYSB

说明：  有关带限信道的数字传输matlab程序--码间干扰的特性，线性和非线性均衡器。(On the band-limited digital transmission channel matlab program- inter-symbol interference characteristics, linear and nonlinear equalizers.)

关于系统辨识和自适应分析的ppt教学分析，通俗易懂。(Ppt teaching analysis on system identification and adaptive analysis, easy to understand.)

说明：  对mvdr算法进行MATLAB仿真，使期望信号方向增益为1，干扰方向约束为0，形成零陷，达到抗干扰的目的(MATLAB simulation of the mvdr algorithm, so that the direction of the desired signal gain of 1, by direction constraint is 0, the formation of nulls to achieve the purpose of interference)

PLS算法 采用归一化 拟合更好的非线性迭代偏最小二乘法（NIPALS）(PLS algorithm using normalized fitting better nonlinear iterative partial least squares (NIPALS) )

TCR型静止无功补偿simulink仿真模型(TCR type static var compensator simulink simulation model)

Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reduction, yielding gains in algorithm performance and complexity and in data storage. This paper introduces a new minimum mean square error-based approach to infer the signal subspace in hyperspectral imagery. The method, which is termed hyperspectral signal identification by minimum error, is eigen decomposition based, unsupervised, and fully automatic (i.e., it does not depend on any tuning parameters). It first estimates the signal and noise correlation matrices and then selects the subset of eigenvalues that best represents the signal subspace in the least squared error sense. State-of-the-art performance of the proposed method is illustrated by using simulated and real hyperspectral images.

Animate a bear using sprites, using cocos 2D

a very nice book about wireless communication. contains description about WIFI, Zigbee and wimax. Also contains the simulation of these systems in matlab.

This file contains a C++ based source code for an optimized Viterbi decoder.

This program calculates minimum and inner constraint and plots the ellipsoid error.This is a useful code for solving geodetic networks.