Matlab-window-function

说明：  MATLAB的顶级教程，详细讲解了重要的知识点和函数应用方法(Top-level MATLAB tutorial explain in detail the important function of the knowledge points and application methods)

自编matlab遗传算法代码，希望对大家有所帮助(Self matlab genetic algorithm code)

可利用matlab实现对图像进行膨胀、腐蚀、开启和闭合处理，自己输入图片(Can be achieved using matlab image expansion, corrosion, open and closed processing, their input pictures)

对比分析lv-music和极化esprit算法q-music算法的估计性能(Comparison of lv-music and Polarization esprit algorithm q-music algorithm to estimate the performance)

基于羽田孜模型的预知的路径损耗 基于爱德华兹和德金模型的路径损失预知 基于帕森斯与伊布拉因模型的路径损耗预知(Tsutomu Hata model based on predictable path loss payments based on Edwards and the German model to predict the path loss model based on Parsons and Ibraim predict the path loss)

说明：  基于PCA实现的人脸识别，识别率达到80 以上(Face Recognition Based on PCA implementation, the recognition rate of more than 80 )

宽带天线的表面电流，辐射功率和方向图的计算，包含频率扫描(wideband antenna: surface currents,radiation pattern and the calculation of power, including the frequency sweep)

EZW (Embedded Zerotrees of Wavelet Transforms) is a lossy image compression algorithm. At low bit rates (i.e. high compression ratios) most of the coefficients produced by a subband transform (such as the wavelet transform) will be zero, or very close to zero. This occurs because "real world" images tend to contain mostly low frequency information (highly correlated). However where high frequency information does occur (such as edges in the image) this is particularly important in terms of human perception of the image quality, and thus must be represented accurately in any high quality coding scheme.

hidden markov models for face recegnisation

Kalman Filtering - Theory and Practice Using MATLAB - Mohinder Grewal (Wiley, 2001).pdf