imagemosaic

数字信号处理实践方法，从一到三囊括了数字信号处理的模数变换、DFT变换、Z变换、滤波器设计等(Digital signal processing practices, from 1-3 to include digital signal processing of analog-to-digital transformation, DFT transform, Z transform, filter design, etc.)

本程序采用半隐式方案实现变分水平集图像分割方法中的模型(Active contour ithout edge)(This program uses the program to achieve semi-implicit variational level set image segmentation methods model (Active contour ithout edge))

----------------------------------------------------- This file produces the output file test_impulse.wav containing an approximation to the unit impulse (delta) function. The value of alpha on [0,1] determines the bandlimit of the approximation. This method is used to avoid the technical difficulties in producing (and reproducing) an ideal impulse (delta) function in audio. This file also produces the .wav audio file test_audio.wav which is an audio test vector intended to be used in the impulse response inversion experiment. (4/24/2002) NOTE: Impulse is bandlimited to alpha*Fmax where Fmax = Fs/2, or the Nyquist frequency.

基于遗传算法和非线性规划寻优混合算法的电力系统最优潮流计算(Optimal power flow calculation of power system based on hybrid algorithm of genetic algorithm and nonlinear programming optimization)

粒子群算法（PSO）整定pid控制参数，比传统Z-N整定方法要好，内附matlab程序与simulink模型(Particle swarm optimization (PSO) is better than traditional Z-N tuning method in tuning PID control parameters. It includes matlab program and Simulink model.)

说明：  多目标优化nsga2算法，包括非支配排序以及函数测试(Multi objective optimization NSGA2 algorithm, including non dominated sorting and function testing)

bem入门，使用mathematics编写的 我们要通过实例学习bem(Getting Started bem bem we learn through examples)

计算二叉分形树的源代码，基于matlab的源程序，采用矩阵的形式。(the programme to produce the tree whose every branch has two subbranches)

CDMA下行解调的MatLab程序，完成下行信号的解扩。(CDMA downlink demodulation process MatLab)

说明：   用最速下降法求最优化解 输入：f为函数名 grad为梯度函数 x0为解的初值 TolX,TolFun分别为变量和函数的误差阈值 dist0为初始步长 MaxIter为最大迭代次数 输出: xo为取最小值的点 fo为最小的函数值 f0 = f(x(0))( Steepest Descent Method with Optimum Solution input: f as a function name grad is gradient function x0 for the solution of the initial TolX, TolFun variables and functions were error threshold dist0 as the initial step MaxIter maximum Diego passage number Output: xo to take the minimum point of fo is the smallest function value f0 = f (x (0)))