boc

内容完整且每章相对独立；是一本简明的MATLAB参考书，既适用于初学者，也适用于高级MATLAB用户。对MATLAB与FORTRAN、C等语言结合的描述更是所有MATLAB书籍中少有的一大特色。(The contents of each chapter is relatively complete and independent it is a simple MATLAB reference books, both for beginners, but also to high-level MATLAB users. Of MATLAB and FORTRAN, C and other languages with a description of all MATLAB books is a major feature of the few.)

说明：  随机信号复杂度matlab程序。可以分析信号的复杂度。而且有上限(The complexity of random signal matlab program. The complexity of the signal can be analyzed. But also limit)

说明：  三电平SVPWM算法逆变器，基于MATLAB例子，自己做了修改(Three-level inverter SVPWM algorithm, based on MATLAB examples, make changes )

这个程序由B.Tordoff and W.Mayol在C. Ballreich的3Name3D基础上编写，实现静态姿势下仿人体铰接体。运行文件之后，可以通过"whos"查看，人体环节名称。 (This process by B. Tordoff and W. Mayol at C. Ballreich prepared on the basis of the 3Name3D, static postures achieve articulated body like the human body. Run file, can be " whos" See, the human aspect name.)

数字滤波器的设计及性能比较 用三种方法设计FIR滤波器：窗口法、最大最小误差法、频率采样法；用两种方法设计IIR滤波器：冲激响应不变法、双线性变换法。很全的matlab滤波器程序！( Digital filter design and performance comparison of three methods to use FIR filter design: the window method, the largest minimum error method, frequency sampling method two ways IIR filter design: impulse response of the same law, two and transform. Is the whole process of the matlab filter!)

this file is matpower software that is a power engineering software.

函数分析器 用于频谱分析 frequency analysis matlab(frequency analysis matlab)

3D discrete cosine transform

matlab 编写的微分进化算法，供大家学习参考(matlab write differential evolutionary algorithm for everyone to learn information)

function nntest6(action,flag) NNTEST6 View and Control Neural network. See also SIMUFF. Koos j. den Oudsten, 1-20-99 koos@phil.uu.nl Copyright (c) 1998-99 by KoosSoft vof $Revision: 0.4 $ $Date: 1999/01/27 22:29:28 $ global Xx w1 b1 w2 b2 hidden mlp if nargin < 1 action = start end On recursive calls get all necessary handles and data. if ~strcmp(action, start ) childList = allchild(0) nn_fig = childList(find(childList == gcf)) ud = gco popupvalue = get(ud.popup, Value )