Dicar6003_4x4_140325_valid

利用小波分解与重构,实现图像去噪和压缩,可灵活选用其他小波,简单易懂,特别适合小波初学者.(using wavelet decomposition and reconstruction, Image Denoising and Compression, the flexibility to choose other wavelet is simple to understand and Wavelet particularly suitable for beginners.)

Convert from LAB to display RGB.

采用PCA提取人脸特征,先计算M个图像的平均值脸，再求出各特征值脸。(Using PCA for face feature extraction, first calculate the average face image of M, and then find the face value of each characteristic.)

image segmentation by using k means clustering algorithm

这个是我本人整理的求PSNR的通用程序，是可以用的(This is my own collation of the general procedures for PSNR can be used)

Steepestdecent算法程序，matlab实例程序，适合初学者学习(Steepestdecent algorithm procedures, examples of Matlab procedures for beginners learning)

MATLAB实用程序100例子仿真,同学们可以先看看，希望有所帮助( MATLAB emluator100 of example)

Herewith i attached the files for contingency, bus impedance matrix,short circuit fault current and swing curve

基于matlab的光伏电池半物理仿真系统的研究 本文从原理上得出简化的光伏电池板数学模型，并分析了在阴影条件下光伏电池板的运行规律，并加以改善，从而得到比较完善的光伏电池板模型。将光伏电池模型在 Matlab/Simulink 中建模并仿真，在 PC机上得出光伏电池 V-I,V-P 特性。最后将 PC 机上 Matlab/Simulink 建立的光伏电池模型通过 AD/DA 板卡于外界真实量交互，为在 Matlab/Simulink 上搭建光伏系统能量提供部分的半物理仿真提出了可行性和合理性。(Research on Photovoltaic Battery Semi-Physical Simulation System Based on Matlab In this paper, a simplified mathematical model of photovoltaic panels is derived in principle, and the operating rules of photovoltaic panels under shadow conditions are analyzed and improved to obtain a more complete photovoltaic panel model. The photovoltaic cell model was modeled and simulated in Matlab/Simulink, and the PV cell V-I, V-P characteristics were obtained on the PC. Finally, the photovoltaic cell model established by Matlab/Simulink on the PC is interacted with the actual amount through the AD/DA board, providing feasibility and rationality for the semi-physical simulation of building photovoltaic system energy on Matlab/Simulink.)

多用户衰落信道下，能量检测技术仿真漏检率和虚警率性能。(Multi-user fading channel simulation undetected rate and false alarm rate performance of energy detection technology.)