paso-banda

求解微分方程（这里指的是常微分方程）指含有一次、二次、乃至高次微分未知数的方程。是解决偏微分方程、数理方程的基础。有许多特殊函数，都是为了无法得出多项函数或超越函数型式的解析解的微分方程而定义出来。这些特殊函数之所以重要，是因为它们描述了自然界中的某些现象，例如，电子的活动、鼓皮的振动、钟摆的摆动等等。(Solve differential equations (in this case is the ordinary differential equation) means containing one, two, and even high-differential equations unknowns. Is to solve the partial differential equations, mathematical equations based. There are many special functions, are not drawn to a number of functions or functions beyond the type of analytical solution of differential equations which define them. These special functions are important because they describe the nature of certain phenomena, for example, electronic activities, drum skin vibrations, pendulum swing, and so on. )

保留形值点磨光 matlab。保留形值点磨光 matlab。保留形值点磨光 matlab。(matlab baoliuxingzhidianmoguang. matlab baoliuxingzhidianmoguang.)

说明：  TFBSS是一种基于短时傅里叶时频分析的盲源分离算法，算法基于卷积混合。处理非平稳源信号。(TFBSS performs Blind Source Separation of (over)determined multiplicative mixtures of non-stationary real valued sources. TFBSS is based on the joint-diagonalization of whitened and noise-compensated Spatial Time-Frequency Distribution (STFD) matrices of the observations, corresponding to single auto-terms positions, as described in: C. Févotte and C. Doncarli. "Two contributions to blind source separation using time-frequency distributions", IEEE Signal Processing Letters, 2004. IEEE Signal Processing Letters, vol. 11, no. 3, Mar. 2004. pdf and A. Holobar, C. Févotte, C. Doncarli, and D. Zazula. "Single autoterms selection for blind source separation in time-frequency plane". In Proc. 11th EUSIPCO, Toulouse, France, 2002 (Special Session on Source Separation). pdf )

THIS PROGRAMME IS A SOLUTION OF AN EXERCICE OF THE BOOK OF ROBOTICS OF CRAIG.

projectreportsimulink bidirectionalconverter

标准pso算法新的实现，使用matlab编写。详细，权威，注释丰富，便于修改和使用。同时有适于mac os的m程序。(A realization of standard pso algorithm in 2011, written in matlab. Attached with matlab codes on mac os x.)

梅尔倒谱系数mfcc求法的Matlab代码(Mel cepstral coefficients mfcc Method Matlab code)

Essential MATLAB for Engineers and Scientists - 3ed. Brian D. Hahn, Daniel T. Valentine 2007

the whole physical layer of wimax 802.16

exercice for matlab machine learning