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说明：  代码之美的迷你版，大家可以学习一下哦，好了不多说了，上传先。(The beauty of the mini-version of the code, you can learn about Oh, well more than that, and upload the first.)

《滑模变结构控制MATLAB仿真》目前最新版的配套光盘中的matlab仿真程序，和适合做滑膜变结构的仿真，可以在基础上扩展，很好的低起点资料(" MATLAB simulation of sliding mode variable structure control," the latest edition of the companion CD matlab simulation program, and suitable for synovial variable structure simulation, you can expand on the foundation, a good starting point for information on low)

遗传算法，二进制编码，单点交叉，随即变异(Genetic Algorithm. The single-point crossover and the random variation were used)

Synthetic Aperture Radar (SAR) Raw Signal Simulation

关于空时建模的程序，有时候苦于没有模型产生数据(On the space-time modeling procedures, sometimes suffer no model to generate data)

5G技术中NOMA算法的性能仿真，对比ofdm性躁比仿真比较(Performance simulation of NOMA algorithm in 5G Technology)

浙江大学授课用的ppt的pdf版，使用教材是姚俊，马松辉. 《Simulink建模与仿真》. 西安电子科技大学出版社(Zhejiang University lectures ppt pdf version of use, use of materials is Yao Jun, Ma Songhui. 《Simulink modeling and simulation》, Xidian University Press)

Specifications written in this manual are believed to be accurate, but are not guaran- teed to be entirely free of error. Specifications in this manual may be changed for functional or performance improvements without notice. Please make sure your man- ual is the latest edition. While the information herein is assumed to be accurate, Micrium Technologies Corporation (the distributor) assumes no responsibility for any(Specifications written in this manual are believed to be accurate, but are not guaran-teed to be entirely free of error. Specifications in this manual may be changed for functional or performance improvements without notice. Please make sure your man-ual is the latest edition . While the information herein is assumed to be accurate, Micrium Technologies Corporation (the distributor) assumes no responsibility for any)

ARRAY PHASE TOOL BOX COGNITIVE RADIO

Non Convex Algorithms for Group Sparse Optimization by Angshul Majumdar @matlab central (Non Convex Algorithms for Group Sparse Optimization by Angshul Majumdar @matlab central)