ZF_test

gaot遗传工具箱 能够很方便的使用遗传算法解决优化问题(gaot genetic toolbox can easily solve the optimization problem using genetic algorithms)

music算法第四中情况,具体情况看程序中估计的源的个数与实际个数之间关系(music algorithm fourth situation, the specific situation of the proceedings estimated the number of sources and the actual number between)

matlab COM组件和MFC的混合编程(matlab COM component and MFC programming mix)

matlab vide the examined window into cells (e.g. 16x16 pixels for each cell). For each pixel in a cell, compare the pixel to each of its 8 neighbors (on its left-top, left-middle, left-bottom, right-top, etc.). Follow the pixels along a circle, i.e. clockwise or counter-clockwise. Where the center pixel s value is greater than the neighbor s value, write 1 . Otherwise, write 0 . This gives an 8-digit binary number (which is usually converted to decimal for convenie

多项式乘法不同方法的matlab求解，算法设计内容。(Polynomial multiplication method matlab solving, algorithm design content.)

用于进行单神经元自适应PID控制的仿真研究(Simulation of single neuron adaptive PID control)

基于matlab的地震傅式谱编写程序，很有用的一个程序。(Fuh-based seismic spectrum matlab programming, a very useful program.)

Implementing quadrature modulation and demodulation of analog signals in digital signal processing, using MATLAB

谱减法语音增强，包含基本谱减法，多带谱减法，以及自适应谱减法。(Spectral subtraction speech enhancement, contains the basic spectral subtraction, multi-band spectral subtraction, and adaptive spectral subtraction)

各种方法的去噪程序 den1.m 使用半软阈值方法对图像进行去噪 den1_5_1.m 半软阈值的改进方法 对第一层重构图像进行均值滤波 den1_9.m 半软阈值的改进方法 将线性衰减的函数改为指数的 den1_10.m 半软阈值的改进方法 对第一层的重构图像再次进行小波阈值去噪 den2.m 用软硬阈值函数的改进方法进行去噪 den3.m 用广义阈值函数进行去噪 den4.m 用自适应特征阈值函数进行去噪 wdenoise.m 用Donoho阈值或Birge-Massart策略及软阈值或硬阈值函数进行去噪 meanfilter.m 均值滤波方法进行去噪(对比用) medfilter.m 中值滤波方法进行去噪(对比用)(Denoising procedures for various methods Den1.m using semi soft threshold method for image denoising The improved method of den1_5_1.m semi soft threshold for the first layer of the reconstructed image The improved method of den1_9.m semi soft threshold will be changed linear to exponential. The improved method of den1_10.m semi soft threshold for the first layer of the reconstructed image again for wavelet thresholding denoising Den2.m using the soft and hard threshold function to improve the method of denoising Den3.m using generalized threshold function for denoising Den4.m with adaptive feature threshold function for denoising Wdenoise.m with Donoho threshold or Birge-Massart strategy and soft threshold or hard threshold function for denoising Meanfilter.m mean filtering method for denoising (contrast) Medfilter.m median filtering method for denoising (contrast))