一些自适应信号处理的算法

如何用C实现OOP的特性，有趣吧。这本英文书给出细节，对于深入理解C和OOP的特性区别非常有帮助。当然读者必须有比较深的编程经验，初学者或一般程度者慎入！(How to OOP with C to achieve the characteristics of interesting. This book gives details of the English, for in-depth understanding of the characteristics of differences between C and OOP very helpful. Of course, the reader must have a relatively deep programming experience, beginners or general level by Shen Ru!)

Carrier frequency offset estimation

Triangle.m: 2D finite element model design tool

modifi bf load flow in matlab

Robust PID Controller Design for an UAV Flight Control System

RGB color channel to XYZ channel. XYZ channel to CIELab channel.

matlab code for Rotate Tick Label

分数阶傅立叶变换，chirp信号分解型实现分数阶傅立叶变换(Fractional Fourier transform, chirp signal decomposition-type realization of fractional Fourier transform)

最小均方濾波器是一類可通過最小化誤差訊號之均方值而修正濾波器係數，以類比所需理想濾波器的自適應濾波器，其中作為修正依據的誤差訊號為理想參考訊號與實際輸出訊號之差。該種濾波器所用之最小均方法只以當前之訊號誤差值為準進行修正，是一種隨機梯度下降法。最小均方法係由斯坦福大學的Bernard Widrow教授及他的首位博士班學生Marcian Hoff於1960年提出。最小均方濾波器屬於常見的自適應濾波器種類之一。(The minimum mean square filter is an adaptive filter that can correct the filter coefficients by minimizing the mean square value of the error signal to analogize the desired ideal filter. The error signal used as the correction reference is the ideal reference signal and the actual output. The difference between the signals. The minimum averaging method used in this kind of filter is only corrected based on the current signal error value, which is a stochastic gradient descent method. The minimum mean method was proposed in 1960 by Professor Bernard Widrow of Stanford University and his first PhD student, Marcian Hoff. The least mean square filter is one of the common types of adaptive filters.)

说明：  详细说明：这是作者自己编写的基于matlab语言的程序设计。遗传算法的函数优化 应用(Detailed Description: This is prepared by the author himself matlab-based program design language. Genetic algorithm function optimization applications)