matlab求Li_SF6毛细燃烧反应速率

Objective of this example is to demonstrate how to design and model adaptive controller, tune and analyse its performance using Simulink® . For this example we have used direct adaptive method called Model Reference Adaptive Controller (MRAC). There are three main elements of this model: Reference Model, Plant Model and Adaptive Controller. Each element and its working is explained in "Adaptive Controller Example.pdf", part of attached folder.

自适应遗传算法，遗传算法的改进，其中有详细的注释，根据需要改初始条件(Adaptive genetic algorithm Improved genetic algorithm, which has detailed notes, according to the need to change the initial conditions )

wireless propagation in microcells and pico cells

this code is of median filtering. this code is only for 3x3 window.

交互多模型算法的仿真程序，仿真过程中发生一次机动！(the simulation of the IMM algorithm, in this simulation there is one maneuvering。)

信号维数的估计，阐述了负荷预测的应用研究,多姿态，多角度，有不同光照,基于SVPWM的三电平逆变的matlab仿真，ldpc码的编解码实现，用于时频分析算法。

说明：  设计一个原型滤波器，以此为基础，可以设计出很好的滤波器组。(Design a prototype filter, as a foundation, you can design a good filter.)

利用区域增长的方法来实现对图像的区域分割 (picture segmention based on increasing of region)

This LDPC software is intended as an introduction to LDPC codes computer based simulation. The pseudo-random irregular low density parity check matrix is based on Radford M. Neal’s programs collection, which can be found in [1]. While Neal’s collection is well documented, in my opinion, C source codes are still overwhelming, especially if you are not knowledgeable in C language. My software is written for MATLAB, which is more readable than C. You may also want to refer to another MATLAB based LDPC source codes in [2], which has different flavor of code-writing style (in fact Arun has error in his log-likelihood decoder). (This LDPC software is intended as an introduction to LDPC codes computer based simulation. The pseudo-random irregular low density parity check matrix is based on Radford M. Neal s programs collection, which can be found in [1]. While Neal s collection is well documented, in my opinion, C source codes are still overwhelming, especially if you are not knowledgeable in C language. My software is written for MATLAB, which is more readable than C. You may also want to refer to another MATLAB based LDPC source codes in [2], which has different flavor of code-writing style (in fact Arun has error in his log-likelihood decoder).)

说明：  匹配追踪算法的matlab工具箱，可以比较方便的进行mp分解，效率较高，但目前的版本对于谐波原子的分解还有些问题(Matching pursuit algorithm matlab toolbox, can be more convenient mp decomposition, efficient, but the current version of the harmonic decomposition of the atom has some problems)