Adaptive-Filtering-Algorithms

说明：  自己总结搭建的模糊PID控制程序，根据具体的对象可以自己设置相应的参数(Sum up their fuzzy PID control procedures set up, according to the specific object can own set of parameters corresponding)

改程序将实现对两个信号的曼切斯特编码，以用仿真软件验证过了(Reform program will achieve two Manchester encoded signal to a validated using simulation software)

全变差求解病态线性方程组的算法说明及其Matlab上的实现代码，在反演问题中常常会用到，全变差正则化具有边界识别强的特点，在图像去噪和恢复方面很有价值！(Total Variation solving ill-conditioned linear equations Matlab algorithm description and implementation code on the inverse problem will often be used, total variation regularization with boundary recognition and strong features, in terms of image denoising and restoration is very value!)

本代码是基于间接法估计高阶统计量的双谱程序(This code is based on the indirect method to estimate the higher order statistics of the two-spectrum procedure.)

层次分析法（AHP）是进行评估的一种常用方法，其中层次分析法中求随机一致性指标是该方法的关键一步。本程序即实现的求解PI的程序(AHP is a common method of assessment, in which AHP seek random consistency index is a key step in the method. This procedure that is implemented procedures for solving PI)

1.用matlab实现心形图的绘制，用极坐标的形式或用隐函数的形式实现， 2.玫瑰形的matlab实现(1. Using matlab mapping to achieve heart-shaped, with polar coordinates in the form or the form of implicit function implementation, 2. Rose-shaped matlab implementation)

利用Matlab软件实现蒙特卡洛法，用于计算热辐射(Monte-Carlo Matlab)

涉及粒子速度计算、圆心和半径拟合、去穷区间的积分、简单滤波器的设计、BP神经网络训练(Involves particle velocity calculation, center and radius of fitting, to poor interval integral, simple filter design, the BP neural network training)

三相桥式全控整流电路 变压器 Yd11 联结(Three-Phase Full-Bridge Controlled Rectifier Transformer Yd11 Connection)

　传统的信号理论，是建立在Fourier分析基础上的，而Fourier变换作为一种全局性的变化，其有一定的局限性。在实际应用中人们开始对Fourier变换进行各种改进，小波分析由此产生了。小波分析是一种新兴的数学分支，它是泛函数、Fourier分析、调和分析、数值分析的最完美的结晶；在应用领域，特别是在信号处理、图像处理、语音处理以及众多非线性科学领域，它被认为是继Fourier分析之后的又一有效的时频分析方法。 小波变换与Fourier变换相比，是一个时间和频域的局域变换因而能有效地从信号中提取信息，通过伸缩和平移等运算功能对函数或信号进行多尺度细化分析（Multiscale Analysis），解决了Fourier变换不能解决的许多困难问题。(The traditional signal theory, is based on Fourier analysis based on Fourier transform, and as a kind of global change, it has some limitations. In the actual application of Fourier transform people began to various improved, wavelet analysis produced. Wavelet analysis is a new branch of mathematics, it is functional, Fourier analysis, harmonic analysis, numerical analysis of the crystallization of the most perfect In the fields of application, especially in signal processing, image processing, audio processing as well as many nonlinear scientific fields, it is considered to be the Fourier analysis after another effective time-frequency analysis method. Wavelet transformation and Fourier transform, compared is a time and frequency domain and the local transform can effectively extract information from signal, through the telescopic peace shift etc operation function of the function ? )