peakfinder

一个用matlab进行微积分的课件，希望对相关同学有帮助！(Using matlab to a calculus of courseware, the students hope that the relevant help!)

视频压缩感知系统的基追踪算法仿真，可以运行通(Video compress and sensing system that based on BP.)

计算潮汐调和常数，潮汐预测,潮流的预测，能够绘制各种预测图与原始图，两者可以进行比对从而得出观测站数据的结论(Computation of tidal harmonic constants, tidal predictions, tidal current predictions, the ability to plot various prediction maps and original maps, and the two can be compared to derive observation station data.)

Narendra自适应控制算法的相应程序(Narendra adaptive control algorithm corresponding procedures)

自己做的： （一）用双线性变换法设计并用实验系统实现一个三阶的契比雪夫Ⅰ型低通数字滤波器，其采样频率Fs =8KHz，1DB通带边界频率为fp=2KHz。 （二）用双线性变换法设计并用实验系统实现一个三阶的契比雪夫Ⅱ型高通数字滤波器，其采样频率Fs =16KHz，阻带边界频率为fst =4KHz，As=20dB。 ((A) design using the bilinear transformation method and the experimental system of a third-order Chebyshev low-pass type Ⅰ digital filter, the sampling frequency Fs = 8KHz, 1DB passband boundary frequency is fp = 2KHz. (B) Bilinear transformation method used to design and use of the experimental system of a third-order Chebyshev type Ⅱ high-pass digital filter, the sampling frequency Fs = 16KHz, stopband boundary frequency fst = 4KHz, As = 20dB.)

关于信号处理的十个matlab程序，很经典值得一看，信不信由你，下来看看可以改变你的很多思路(About ten MATLAB for signal processing programs, a classic worth seeing, believe it or not is up to you, can change many of your ideas )

monto carlo optimization code

denoising by improved thresholding

说明：  设置电容型脉冲电源的电容、电感、回路和负载的电感电阻等参数，可以计算出脉冲电源的输出电流。(The output current of the pulse power supply can be calculated by setting parameters such as capacitance, inductance, loop and load inductance resistance of the pulse power supply.)

這是一個 Matlab的（和獨立應用）端口的出色的機器學習算法，隨機森林` - 由Leo布賴曼等。從 R -源由Andy鴻等。 http://cran.r-project.org/web/packages/randomForest/index.html（Fortran的原由Leo布賴曼和Adele卡特勒，研究港口安迪鴻和馬修維納。）當前的代碼版本是基於 4.5-29從來源 randomForest包。(This is a Matlab (and Standalone application) port for the excellent machine learning algorithm `Random Forests - By Leo Breiman et al. from the R-source by Andy Liaw et al. http://cran.r-project.org/web/packages/randomForest/index.html ( Fortran original by Leo Breiman and Adele Cutler, R port by Andy Liaw and Matthew Wiener.) Current code version is based on 4.5-29 from source of randomForest package.)