minus1topower

说明：  Matlab demonstration script for frequency modulation

说明：  图形图像处理函数详细列表，MATLAB图像处理命令集合解析(A detailed list of graphics and video processing functions, MATLAB image processing command set of analytical)

自己用matlab写的算术编码的程序，信源为二元信源,信源序列、码长均可自定义(own use Matlab write arithmetic coding procedures, source of the dual source, the source sequence, code length can be defined)

属性分类的粒子群算法Particle swarm optimization (pso) algorithm to the classification of the attribute(Particle swarm optimization (pso) algorithm to the classification of the attribute)

说明：  基于UKF的自行车状态估计matlab程序实现(Realization of Bicycle State Estimation Based on UKF with MATLAB Program)

说明：  pm调制，该仿真有助于相位调制,这是模拟调制方面的知识(pm modulation, the simulation will help phase modulation, which is knowledge of analog modulation)

求解辐射传递方程SSDN离散matlab程序(Solving the radiative transfer equation SSDN discrete matlab program)

低通Chebyshev 1型滤波器，通带边界频率为1500Hz，通带波纹小于3dB，阻带边界频率2000Hz，阻带衰减为40dB，采样频率为8000Hz(Low-pass Chebyshev 1 filter passband edge frequency of 1500Hz, less than 3dB passband ripple, stopband edge frequency 2000Hz, stop-band attenuation of 40 dB, the sampling frequency to 8000Hz)

车辆路径问题的蚁群算法，很好的一个学习蚁群算法的GA例子(The ant colony algorithm of vehicle routing problem, a learning example of ant colony algorithm GA)

Wavelet denoising For using this code need to use signal toolbox and general toolbox in your matlab In the first part of this assignment, we asked to obtain a (black-and-white) digital image of size 512 by 512 and then generate noisy image by adding a Gaussian noise but under the condition of having SNR=20dB by select the suitable value of variance for Gaussian noise formula. Second step is performing wavelet denoising using the hard thresholding (Use the db 6 for four levels) in the condition of finding the optimal thresholding value of T in terms of the SNR obtained. It means that, we should find the highest SNR value by finding the suitable value for threshold. Then we asked to do the same process but this time using soft thresholding. Finally for the last part of question one, we should compare the results of the obtained SNR with the recommendations of 3*sigma for the hard thresholding and 3/2*sigma for the soft thresholding.