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一份关于lmfsoved 的matlab 代码，很好用的！(A report on lmfsoved the matlab code, a very good use!)

强化学习是人工智能中策略学习的一种。本程序提供一强化学习事件Q-learning demo，并绘制图形进行形象化演示。(Reinforcement learning is a kind of artificial intelligence in the strategic study。This program provides a Q-learning demo with plotting.)

a useful program tofind maximum of every window of signal

ldpc码的编解码实现，包括调制，解调，信噪比计算，汽车课设货车Matlab驱动力图程序。( Codec ldpc code implementation Includes the modulation, demodulation, signal to noise ratio calculation, Car class-based truck driver trying to Matlab program.)

AGILENT关于OFDMA设计的难得的参考资料(This application note is a guide to effective measurement and troubleshooting of IEEE 802.16e OFDMA “Mobile WiMAX” signals, components, and systems. The most distinctive term used to describe this new technology is OFDMA or orthogonal frequency division multiple access, and therefore we will use the term OFDMA in this note as a compact reference to the signal and its associated standard.)

用MOM计算V型天线的电流分布、输入阻抗及辐射方向图。其中L=0.3λ，L/a=2000，激励用δ-gap模型。(calculate the current distribution, input impedance and radiate pattern of V-antenna with MOM. L=0.3λ，L/a=2000, δ-gap source)

matlab gui设计学习手册》 第二版 2012新版 第七章源码 matlab gui the second edition(matlab gui the second edition)

声谱图+共振峰,有中文的注解, 像Praat(spectrogram+ Formant, Code has Chinese comments)

这是CISS会议上发表的著名论文“Tensor Canonical decomposition based method for blind identification of MIMO system with 3-input 2-output case”的源程序，主要是讲基于张量规范分解的多天线系统的忙识别问题，里边包含了相应的文章，可以一起对照着看。(conference on the famous treatise "Tensor Canonical deco mposition based method for blind identificati on of MIMO system with 3-input 2-output case, "the source procedures, primarily based on stress tensor decomposition of standardized multiple antenna system to identify problems in the 1980s, contained inside a corresponding article, can work together to look to see.)

用于matlab 的学习，前五章内容为基本介绍，包括软件安装与卸载，数据类型，数组与matalab常用功能(For the matlab learning, basic introduction to the first five chapters content, including software installation and uninstallation, data types, arrays with common functions matalab)