SPAMS_v1.02_win32.tar

计算关于转子动力学中，如何求传递矩阵的的系数的程序(calculated on rotor dynamics, how to request the transfer matrix of the coefficients of procedures)

GMSK信号的调制解调的simulink仿真，亲自测试已经通过，大家可以放心下载使用。(MSK signal modulation and demodulation simulink simulation, personally test has passed, you can be assured to download.)

说明：  matpower电网潮流计算工具下载，功能强大(Mapower power grid power flow calculation tool download, powerful function)

说明：  一个bp-pid混合控制水箱的仿真程序，bp用来在线修正PID的三个参数(Bp-pid hybrid control of a tank simulation program, bp-line amendment to the three parameters of PID)

control loop of DC to DC buck convertercontrol loop of DC to DC buck convertercontrol loop of DC to DC buck convertercontrol loop of DC to DC buck convertercontrol loop of DC to DC buck converter

Smil Element Impl extends Element Impl implements S M I L Element Source Code for Andriod.

Compression Denoising enhanced procedures for your reference. Include: digital image data display matrix and its Fourier transform two-dimensional discrete cosine transform image compression method using gray-scale transformation of the contrast-enhanced images using two-dimensional median filter function by medfilt2 of salt and pepper noise image filtering using MATLAB The function affected by noise interference filter2 images mean filter Adaptive Image Filtering Wehner use five kinds of different gradient method to enhance image sharpening images of high-pass filtering and mask treatment using Butterworth (Butterworth) low pass filter noise by smoothing the images deal with the use of Butterworth (Butterworth) high-pass filter for sharpening images treatment

The BNL toolbox is a set of Matlab functions for defining and estimating the parameters of a Bayesian network for discrete variables in which the conditional probability tables are specified by logistic regression models. Logistic regression can be used to incorporate restrictions on the conditional probabilities and to account for the effect of covariates. Nominal variables are modeled with multinomial logistic regression, whereas the category probabilities of ordered variables are modeled through a cumulative or adjacent-categories response function. Variables can be observed, partially observed, or hidden.

一个用fortran90写成的BVP（ODE）的求解器，作者是写matlab函数bvp4c的作者。原理差不多。不过这个版本是用f90写的，运算速度更快。本包内含如何运这些程序的论文及算例，很好上手。(In the declarations part of this module, we first define the BVP_SOL type, which represents the numerical solution. We next define the interface BVP_INIT, which is overloaded to provide a number of functions for allowing the user to specify initial information for the computation, the interface BVP_EXTEND, which is overloaded to provide functions for extending the numerical solution to a new domain that are useful in the context of parameter continuation, and the interface BVP_EVAL, which is overloaded to provide a function for retrieving solution information. Next a number of global variables employed throughout the code are defined. )

Jakes模型对衰弱信道进行仿真 在仿真时，先定义一个模型，再在主函数中调用这个模型，下面是主函数的程序(Jakes model debilitating channel simulation)