PID

数字信号处理的MATLAB实现，书中附带的程序代码(Digital signal processing implementation of MATLAB, the book attached to program code)

Programa que calcula el espectro de una ola y su cinematica

《MATLAB图像处理实例详解》源代码 第15 章 ( MATLAB image processing example explanation Source Code Chapter)

说明：  跳频图案的产生模块，互相学习，参考一下挺有帮助的(Frequency hopping pattern generation module, mutual learning, reference winter ridge help)

his packet is a IS-95 baseband simulation for 1 data channel of 9.6 KBps rate. The simulation is written for static channel and AWGN noise. The packet include: 1) Packet Builder (Viterbi Encoding, Interleaver, PN generation) 2) Modulator (RRC filter) 3) Demodulator (Matched Filter, RAKE receiver) 4) Receiver (HD or SD) (Deinterleaver, Viterbi Decoder). You should run "Simulation.m" function that include all modules.(his packet is a IS-95 baseband simulation f or a data channel rate of 9.6 KBps. The simulatio n is written for static channel and AWGN noise. T he packet include : 1) Packet Builder (Viterbi Encoding. Interleaver. PN generation) 2) Modulator (RRC filter) 3) Dem odulator (Matched Filter, RAKE receiver) 4) Receiver (HD or SD) (Deinterl eaver. Viterbi Decoder). You should run "Simulation. m "function that include all modules.)

基于负熵最大的独立分量分析，最大似然（ML）准则和最大后验概率（MAP）准则，小波包分析提取振动信号中的特征频率。( Based on negative entropy largest independent component analysis, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Wavelet packet analysis to extract vibration signal characteristic frequency.)

保证全局收敛的随机微粒群算法。当最优粒子的解无进化，则对其位置、速度进行变异，而使算法不致过早收敛，只要迭代次数足够，算法保证全局收敛。(ensure global convergence of random particle swarm algorithm. When the optimal solution without particles of evolution, its location, speed variation, which might not premature convergence algorithm, as long as sufficient number of iterative algorithm to ensure global convergence.)

了解隐马尔科夫模型HMM的概念、组成和需要解决的问题；掌握三个基本算法：forward算法、Viterbi算法和Baum-Welch算法，并利用matlab进行实验分析一道具体问题(Understand the concept of Hidden Markov Model HMM, composition and problems to be solved mastered three basic algorithms: forward algorithm, Viterbi algorithm and Baum-Welch algorithm and experimental analysis using matlab specific problems together)

优化程序 基本优化算法 使用的理论是遗传算法(Optimizer basic genetic algorithm optimization)

在Matlab环境下实现的无损编解码，代码简单易懂(In the lossless codec implementation under the environment of Matlab, the code is simple to understand)