bilinear_interpolat2

各种有用插值计算方法，曲线拟合方法，工程上实用(Variety of useful interpolation method, curve fitting, practical engineering)

Some algorithms of variable step size LMS adaptive filtering are studied．The VS—LMS algorithm is improved． Another new non-linear function between肛and e(／ t)is established．The theoretic analysis and computer simulation results show that this algorithm converges more quickly than the origina1．Furthermore，better antinoise property is exhibited under Low—SNR environment than the original one．(variable step size of a LMS daptive filtering are studied. The VS-LMS algorithm is improved. Another new non-linear function between anus and e (/ t) is established. The theoretic analysis and computer simulatio n results show that this algorithm converges mo 're quickly than the origina1. Furthermore, better antinoise property is exhibited under L ow- SNR environment than the original one.)

QAM 16 Constellation, Gray Coding, Average energy, Symbol errors are done for reference and 19th constellation.

Image Watermarking using DWT algorithm

粒子群优化算法的寻优算法—非线性函数的极值优化(The optimum algorithm of particle swarm optimization algorithm, the extremal optimization of nonlinear functions)

有传统PID介绍，引申到改进算法，包括模糊控制，滑模控制等，配有大量实例，除利用simulink搭建外同时由c或matlab语言对照。(Traditional PID introduced extended to improve the algorithm, including fuzzy control, sliding mode control, Peiyoudaliang instance, in addition to the use of structures outside simulink matlab language by both c or control.)

veterbi code in matlab programme

The travelling salesman problem (TSP) asks the following question: Given a list of cities and the distances between each pair of cities, what is the shortest possible route that visits each city exactly once and returns to the origin city? It is an NP-hard problem in combinatorial optimization, important in operations research and theoretical computer science.

粒子群优化算法，通过追随当前搜索到的最优值来寻找全局最优(Particle swarm optimization algorithm, by following the current search to the optimal value of to find the global optimal)

matlab ANFIS for optimization