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matlab实现的粒子滤波器源代码，多若干实例并有与Kalman滤波器性能的比较(realize the particle filter matlab source code, and more with some examples and compare the performance of Kalman filter)

包含了一个蚂蚁算法中的蚁周系统，采用了最大最小方法，程序运行良好！(Contains an ant algorithm ants week system, using the maximum and minimum methods, procedures worked well!)

MM1排队序列模拟——统计给定 平均到达率和离去率 条件下系统的平均队列长度和平均等待时间； 统计平均队列长度和平均等待时间随平均到达率 和离去率 的变化曲线 (The MM1 the queuing sequence of simulation- statistics system to the given conditions the average queue length and average waiting time easygoing statistical average queue length and average waiting time curve)

卡尔曼滤波器 matlab仿真实验代码 GPS数据后处理(kalman filter)

将喇曼光纤放大器等效成一个N信道单向波分复用系统，并且根据N信道受激喇曼散射稳态形式的解析理论给出了掺铒光纤放大器中信号光的功率的matlab仿真，此处为仿真代码。(Raman fiber amplifiers will be equivalent to an N-channel unidirectional WDM systems, and based on N-channel Stimulated Raman scattering form analytical steady-state theory gives erbium-doped fiber amplifier signal light power matlab simulation, Here for the simulation code.)

关于端点检测的几种方法，语音样本是自己录制的，对传统算法做了一些改进，加入了去噪，去噪之后再进行端点检测，均调通 vad0303：自己设置调整门限为一定值 vad0310：根据能量值和过零率设置门限，自适应门限值 vad0310_2：基于比例因子的门限自调整 vad0310.m加入了噪声，端点检测前都噪声进行了处理 entropy.m：基于自适应子带频谱熵的稳健性语音端点检测 可用于语音增强及端点检测 dbdoor.m：双门限算法，用于语音端点检测。可以通过调整门限值，并加入门限自适应算法，实现语音端点检测(Several methods on endpoint detection, recording their own voice samples, the traditional algorithm has made some improvements, adding a de-noising, and then after de-noising endpoint detection are transferred through)

应用LMS算法对Volterra级数预报，结果收敛，效果很好(Application of LMS algorithm Volterra series prediction, the results of convergence, good results)

应用最小二乘法对二阶系统进行辨识，得到相关参数(Application of least squares, second order system identification, are relevant parameters)

emprical mode decomposition( emd, find peaks)

《MATLAB程序设计教程》一书的源代码( MATLAB Programming Tutorial the book s source code)