minimum-variance-self-tuning-control

混沌工具箱ver.2.0,程序没问题，可以用。有c-c法求时延和嵌入维数的，求最大李雅普诺夫指数的等。(Chaos Toolbox ver.2.0, the program is no problem, you can use. There cc method for delay and embedding dimension, for the largest Lyapunov exponent and so on.)

Optimizing Time-Domain Response of Simulink(R) Models Using Parallel Computing

通过独立分量分析，来实现盲源信号的分离。程序简单易懂，适合初学者(Done by independent component analysis and blind source separation of signals. Program is easy to understand, suitable for beginners )

QPSO算法,不会跑出定义域，依据一篇综述写的代码。(QPSO algorithm will not run out of the domain, based on a review to write code.)

说明：  运动载体的定位与导航一般应用Kalman滤波算法。可 靠的Kalman滤波算法要求有可靠的函数模型、随机模型以 及合理的估计方法。实际情况中运动载体一般难以确保规 则运动，因而精确的函数模型的构造十分困难。近年来， 有不少学者对机动载体运动模型进行了讨论，所属内容各 具特点，建立的各种模型包括微分多项式模型、常速度模 型、常加速度模型、时间相关模型，半马尔柯夫模型、 Noval统计模型及机动载体的“当前”统计模型(Moving vehicle positioning and navigation general application of the Kalman filter algorithm. Kalman filter algorithm requires a reliable function model, a stochastic model, as well as a reasonable estimation method. Moving carrier in the actual situation is generally difficult to ensure a regular motion, and thus the the precise function model structure is very difficult. In recent years, many scholars have discussed the movement of the motor carrier model, each with distinct characteristics of their respective content, establish various models including the differential polynomial model, constant velocity model, constant acceleration model, time-dependent model, semi-Markov model, Noval statistical model and motor carrier &quot current&quot statistical model)

bhattacharya cofficient is used to in canny edge detector

Kalman - Fuzzy Extended

Signals_and_Systems_with_MATLAB_Computing_and_Simulink_Modeling provides the basic knowledge of how to further utilize the signal processing via MATLAB. Illustrations and graphical figures are of simplification to the reader understanding as well.

时频分析中维格纳 分布 ，以及维格纳分布的改进方法！( Joint Time-Frequency Analysis)

自适应中值滤波与中值滤波算法的比较，说明自适应中值滤波效果好。(Adaptive median filter and median filtering algorithm comparing the adaptive median filter shows good results.)