RunFaceRecog

Code for denoising images. This code differs from standard wavelet denoising techniques in that it uses non-orthogonal wavelets, and unlike existing techniques, ensures that phase information is preserved in the image. Phase information is of crucial importance to human visual perception. Also, this code does have an effective way of determining threshold levels automatically. (Code for denoising images. This code differs from standard wavelet denoising techniques in that it uses non-orthogonal wavelets, and unlike existing techniques, ensures that phase information is preserved in the image. Phase information is of crucial importance to human visual perception. Also, this code does have an effective way of determining threshold levels automatically.)

Denoising the Signals using Kalman Filter for Target Tracking in Wireless Sensor networks

some lecture about the extend kalman filter algorithm ,which is very useful for the beginner.if you down load it ,it will be of great convenient for you.

通过MATLAB中的GUI编程，绘制出戴维南定理的GUI界面并绘制相应的曲线(Through the GUI in MATLAB programming, drawing out the GUI interface and Thevenin s theorem to draw the corresponding curve)

Program: Lognormal Distribution Simulation Histograms C3

迭代迭代迭代迭代迭代迭代迭代迭代迭代迭代(Iteration and duplication)

gabor滤波的matlab代码实现，主要应用于图像处理和机器视觉(gabor filter matlab code, mainly used in image processing and machine vision)

说明：  无刷直流电机matlab仿真模型 在sumilink环境下进行 (The sumilink of BLDC motor )

对周期性信号进行循环谱估计，非常实用的代码！！(Cycle of the periodic signal spectrum estimation, a very useful code! !)

散傅里叶变换的性质 一、 实验目的 1、 掌握离散傅里叶变换的性质，包括线性特性、时移特性、频移特性、对称性和循环卷积等性质； 2、 通过编程验证傅里叶变换的性质，加强对傅里叶变换性质的认识。 (The nature of the discrete Fourier transform, the purpose of the experiment 1, to grasp the nature of the discrete Fourier transform, including a linear characteristic, when the shift characteristic frequency-shift characteristic, symmetry, and the circular convolution nature 2, through the programming verification Fu li the nature of the Fourier transform, to enhance the understanding of the nature of the Fourier transform.)