QPFK

FISMAT accommodates different arithmetic operators, fuzzification and defuzzification algorithm, implication relations, and different method of approximate reasoning such as Compositional Rule of Inference (CRI) and Approximate Analogical Reasoning Scheme based on Similarity Measure.

说明：  用matlab编写的超分辨程序，可以直接执行。(matlab super resolution)

在MATLAB中用ITD法进行模态分析的程序讲解(ITD modal analysis method using the procedure explained in MATLAB)

航路仿真的GUI实现，即爬升，巡航，下降阶段，输入速度！(Route simulation GUI realize that climb, cruise, descent phase, input speed!)

noise reduction method

Computation of the frequency response of the low- and high-pass filters that generate the orthonormal or semi-orthonormal (B-spline or dual) fractional splines of degree alpha, and of type + (causal), - (anticausal) or * (symmetric).(fract spline filters)

说明：  混沌时间序列预测法的实现仿真，时间延迟，关联维，最大Lyapauon指数(Chaotic time series prediction method to achieve simulation, time delay, correlation dimension, largest Lyapauon index)

Fuzzy Logic, at present is a hot topic, among academicians as well various programmers. This book is provided to give a broad, in-depth overview of the field of Fuzzy Logic. The basic principles of Fuzzy Logic are discussed in detail with various solved examples. The different approaches and solutions to the problems given in the book are well balanced and pertinent to the Fuzzy Logic research projects. The applications of Fuzzy Logic are also dealt to make the readers understand the concept of Fuzzy Logic. The solutions to the problems are programmed using MATLAB 6.0 and the simulated results are given. The MATLAB Fuzzy Logic toolbox is provided for easy reference

I uploaded sample code for SIMPLE-algorithm and solving lid-driven cavity flow test. It has a lot of shortcomings, but I think that it will be useful for all newcomers. I intend to develop it further, but now it very slowly converges. All notes will be useful, and hope it can be discussed.

自己写的关于信噪比最大化的信号盲分离算法例子，希望对大家有用(Write about the signal to noise ratio maximization algorithm for blind signal separation example, we hope to be useful)