Chens

利用matlab实现语音输入、8bit PCM音频截短、滤波输出。用于将大于8bit的PCM语音截短为8bit的PCM语音。(Matlab realize the use of voice input, 8bit PCM audio truncated, filter output. Will be greater than for the PCM voice 8bit to 8bit truncated the PCM voice.)

利用Simulink建立起PWM产生电路，产生PWM波并对PWM波优化设计(Use Simulink to build PWM generation circuit for generating a PWM wave and PWM wave optimal design)

说明：  齿轮信号在matlab环境下的产生(matlab程序源代码)(creating gear signals )

MIMO system simulation.

《MATLAB神经网络30个案例分析》中的第9个例子，案例9 离散Hopfield神经网络的联想记忆—数字识别。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of example, 9, 9 cases of discrete Hopfield neural network associative memory- digit recognition. Hope to have certain help to everybody! )

Duda经典教材《Pattern Classification》的全部源码(The source code of Duda s book 《Pattern Classification》)

说明：  多目标遗传算法是NSGA-II[1]（改进的非支配排序算法）,该遗传算法相比于其它的多目标遗传算法有如下优点：传统的非支配排序算法的复杂度为 ，而NSGA-II的复杂度为 ，其中M为目标函数的个数，N为种群中的个体数。引进精英策略，保证某些优良的种群个体在进化过程中不会被丢弃，从而提高了优化结果的精度。采用拥挤度和拥挤度比较算子，不但克服了NSGA中需要人为指定共享参数的缺陷，而且将其作为种群中个体间的比较标准，使得准Pareto域中的个体能均匀地扩展到整个Pareto域，保证了种群的多样性。（消除了共享参数）。(Multi-objective genetic algorithm is nsga-ii [1] (improved non-dominant sorting algorithm), which has the following advantages compared with other multi-objective genetic algorithms: the complexity of the traditional non-dominant sorting algorithm is, while the complexity of nsga-ii is, where M is the number of objective functions and N is the number of individuals in the population.The introduction of elite strategy to ensure that some good individuals in the evolutionary process will not be discarded, thus improving the accuracy of the optimization results.The comparison operator of crowding degree and crowding degree not only overcomes the defect that NSGA needs to specify the Shared parameter artificially, but also takes it as the comparison standard between individuals in the population, so that individuals in the quasi-pareto domain can uniformly expand to the whole Pareto domain, ensuring the diversity of the population.(eliminating Shared parameters).)

此程序用于对时间序列数据做协整性检验以及granger因果检验(This program is used to cointegration tests and Granger tests)

两步最小二乘arma法，k为算法中带估计的ar参数个数(Two-step least squares arma method, k is the algorithm with a number of parameters estimated ar)

source code pso fractical