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zigZag scan implementation on matlab

Performance comparison of RLS and LMS channel estimation techniques with optimum training sequences for MIMO-OFDM systems Performance comparison of RLS and LMS channel estimation techniques with optimum training sequences for MIMO-OFDM systems

说明：  K最近邻(K-Nearest Neighbor，KNN)分类算法，是一个理论上比较成熟的方法，也是最简单的机器学习算法之一。(K nearest neighbor (K-Nearest Neighbor, KNN) classification algorithm, is a more mature approach in theory is the simplest machine learning algorithms.)

利用单应点进行透视反变换，matlab实现(Perspective inverse transform, matlab achieve)

说明：  多种算法实现路径规划，可以进行相互间的比较(Various algorithms can realize path planning and compare with each other)

基于MATLAB的图像压缩 能处理10:1的压缩功能 直接就能使用 (base on matlab image impress)

关于matlab的编程，主要是plot绘图方面的，请查收！(Matlab programming on the main plot mapping, please check!)

Beginning C for Arduino

统计中方差分析和判别分析的MATLAB实现程序(Statistical analysis of variance and discriminant analysis in MATLAB)

basic structure of ofdm with transmitter