Stochastic_process_simulation

语音信号a律编码，输入随机语音信号，可进行A律13折线编码，并译码(Speech Signal a legal code, enter the random voice signals, can be A Law 13 Line coding and decoding)

三相电源的MTALAB仿真，对于初学三相电的人，可以通过仿真直观的感受三相电波形分配(Three-phase power MTALAB simulation, three-phase power for the beginner who can intuitively feel the simulation waveform of three-phase power distribution)

Ebook reader ,Le lecteur utilise le composant WebBrowser. la page de paramè tre permet entre autre, de créer les associations de fichiers,

基于FFT的功率谱分析程序设计与应用 2）对实验所采集的转子振动信号进行频谱分析 2．讨论： 1) 信号经过均值化处理或不经过均值化处理的结果比较 2）采用不同窗函数时的谱结果（矩形窗函数, 汉宁窗函数，汉明窗） 3）典型函数的频谱（矩形窗函数, 汉宁窗函数，直线，阶跃函数，δ函数，方波，三角波等） 4）整周期和非整周期采样时两者的比较 5）讨论实验结果 (Based on the FFT power spectrum analysis of program design and Application2) on experimental collection of the rotor vibration signal spectrum analysis2 discussion:1) the signal through the mean treatment or not after a mean treatment results comparison2) using different window function spectral results ( rectangle window, Hanning window function, the Hamming window )3) the typical functions of spectrum ( rectangle window, Hanning window function, linear, step function, function, square wave, triangular wave)4) the whole cycle and non-integer-period sampling time comparison5) discussion of experimental results)

MATLAB-simulink仿真MEMS传感器用的斩波放大器对1/f噪声的抑制作用(MATLAB-simulink troper 1/f noise)

用于matlab仿真的，比较使用的系统仿真用的源代码(Matlab simulation used to compare the use of system simulation using the source code)

说明：  画一种新型气固分离器气相流场的matlab程序(painting a new gas-solid separator gas flow field in Matlab procedures)

说明：  LMS/F组合算法由Shao-jen Lin和J.G.Jarris提出，它计算量增加不多却同时兼有LMS和LMF算法的优点。即收敛速度和稳态性能比基本LMS算法好，稳定性比LMF算法好。(LMS/F combination algorithm by the Shao-jen Lin, and JGJarris proposed, it is increasing much more calculations with both LMS and the LMF of the method. Ie, the convergence speed and steady-state performance better than the basic LMS algorithm, stability, better than the LMF algorithm.)

Ce programme nécessite le matériel suivant

adaboost training for weak classifier.Simple example for classifier and training is done