预测控制MAC一阶无延迟

说明：  Kernel pca基于核方法的特征提取算法(feature selection)

matlab读取bin或其他文件，修改其中数据，把数据生成到txt文档(matlab read bin or other document, modify the data, the data generated into txt file)

基于神经网络的强机动目标跟踪，可以自适应调节机动频率。(Strong based on neural networks maneuvering target tracking, can adaptively adjust maneuvering frequency.)

说明：  一个duffing模型，一个噪声模型，一篇duffing检测原理，。可检测不同频率的待测信号(a duffing model, a noise model, a duffing detection principle)

These routines scramble an audio file by moving around short, overlapping windows within a local window. They can be used to create new versions of existing recordings that preserve the spectral content over longer time scales, but remove structure at shorter timescales. This can be useful e.g. for making speech unintelligible. Routines are also included to shuffle Gammatone subbands independently, for further scrambling.

二阶Volterra模型系统辨识，数据拟合，压缩包中带数据(Of Volterra model system identification, data fitting, with data compression package)

各种优化方法程序，内点法、外点法、乘子法等(Various optimization program, interior point method, outside the point method, multiplier method)

Looping statement in c++

渡口模型，系统模拟仿真，排队论，任意输入船道数和模拟次数，输出平均车辆数和各车辆类型数量(Ferry model, system simulation, queuing theory, any input channel number and the number of simulations ship, the output of the average number of vehicles and the number of vehicle types)

DFA算法的MTALAB的实现，用于处理高密度的随机噪声(The implementation of DFA algorithm)