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matlab 教程 实用 有效 适合初学者(matlab tutorial practical and effective for beginners)

用前推回代法编写了一个算8节点配网潮流的程序，解压后就可以直接运行(With forward and backward substitution method to write an 8-node distribution network power flow calculation program, named after the needs of the non-alphanumeric characters removed after decompression, it can be run directly)

说明：  一个很简单，易于明白的matlab文件，适合初学者自学(A very simple and easy to understand the matlab file, suitable for beginners learning)

用matlab实现zigzag扫描，H.264帧内编码中不可缺少的环节(Zigzag scan using matlab implementation, H.264 intra-coded indispensable part in the)

分数阶fourior变换的源码，主要用来处理线性调频信号(fractional fourior transform source code, is mainly used to treat LFM)

图像特征提取 特征提取 matlab 特征提取 图像特征 (Image feature extraction feature extraction feature extraction matlab image features)

this is a code to segment the color texture using Gabor filter. It uses the initial segmentation using kmeans clustering.

采用数值差分方法中的向后差分计算高等传热问题的欧拉方程(ASSEMBLE_BACKWARD_EULER adjusts the system for the backward Euler term.)

目前已经提出了许多不同的算法来解决OFDM 系统中的PAPR 问题，本章详 细介绍了其中的限幅法、压缩扩张法、星座图扩展法、选择性映射法和部分传输 序列法。在介绍每一种算法时，针对其主要存在的问题进行了相应的改进，使每 一种算法都成为比较实用的算法。(Has put forward a number of different algorithms to solve the problem PAPR OFDM system, this chapter details Fine describes one of the limiting, compression expansion method, constellation expansion method, selective mapping method and partial transmission Sequence method. In introducing each algorithm, for which the main problem for the corresponding improvements, so that each An algorithm have become more practical algorithms.)

针对无线射频识别(radio frequency identification，RFID)系统的多标签碰撞问题，在分析RFID标签编码规则的基础上，提出根据标签编码规则进行标签分组和标签预淘汰的方法，在读写器识别的初始阶段根据特定的规则淘汰部分标签，从而减少系统工量，提高系统工作效率.实例证明：在不增加标签结构复杂度的基础上，充分利用已有的有效信息能够有效减少阅读器的查询次数和系统的总通信量．(For radio frequency identification (radio frequency identification, RFID) system is a multi-tag collision problem, based on the analysis of the RFID tag encoding rules based on the proposed label grouping and labeling pre-elimination method according to the label encoding rules identified in the initial reader phase-out of the label according to specific rules, thus reducing the amount of system engineering, to improve system efficiency examples demonstrate: the label without increasing the complexity of the structure on the basis of full and effective use of existing information can be effective in reducing the number of queries and reader total traffic of the system.)