guanxing

量化LMS算法的自适应滤波器及其低功耗设计.rar(Quantify the LMS adaptive filter algorithm and its low-power design. Rar)

东大版数值分析上机题作业，包含牛顿迭代法、高斯赛德尔迭代法、龙格库塔法等(Southeast University version of 《numerical analysis 》homework ， including the Newton iterative method, high Sisaideer iterative method, Runge-Kutta method)

说明：  压缩感知的几种常见算法,可实现一维信号重构。(everal common algorithms of compressed sensing can realize one-dimensional signal reconstruction.)

说明：  MIT Matlab教程：INTRODUCTION TO MATLAB — Fall 1999 Thomas F. Weiss Last modification September 9, 1999 1(MATLAB is a programming language and data visualization software package which is especially effective in signal processing and systems analysis. This document is a brief introduction to MATLAB that focuses on those features that are of particular importance in 6.003.1 It is assumed that the reader is familiar with Project Athena, has an Athena account, and has little or no experience with MATLAB. Other MATLAB help is available through Athena consulting which offers a number of more tutorial handouts and short courses (ext. 3-4435), on-line consulting (type olc at the Athena prompt), and Athena on-line help (type help at the Athena prompt). There are a number of books available that describe MATLAB. For example, Engineering Problem Solving with Matlab, by D. M. Etter, published by Prentice-Hall (1997) and Mastering MATLAB, by Hanselman and Littlefield, published by Prentice-Hall (1996). The paperback MATLAB Primer by K. Sigmon, published by CRC Press (1994) is a handy summar)

　k-means 算法接受参数 k ；然后将事先输入的n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。(K-means algorithm accept parameter k Then will the n of prior input data object is divided into k clustering to make won clustering meet: the same clustering the object in the similarity is higher And different clustering the object in the smaller similarity. Clustering similarity is using the cluster of the object in the mean gained a "center object" (the center of gravity) to calculate. )

RFID室内定位的相关算法，对传统的基于RSSI定位模型进行改进。(RFID indoor positioning)

说明：  本案例研究的目的是开发一种简单而有效的半隐式傅里叶光谱算法，用于相位场晶体模型的变形研究(The purpose of this case study is to develop a simple and effective semi-implicit Fourier spectral algorithm for the deformation study of phase field crystal models)

掛恅璃標腔最唗岆價衾LeventCodes 怢釬腔﹝ 婦嬤眕狟源楊ㄩ BivaShrink源楊﹜耀倰1﹜耀倰2﹜耀倰3ㄗTrivaShrink源楊ㄘ﹜BayesShrink源楊﹜ LAWMLShrink源楊腔DWT妗珋睿DT_CWT妗珋﹝ (Standard text linked cavity glass唗Did the price of quilt filler cavity LeventCodes  ﹝怢Here' s the source of women' s mamma BivaShrink source Yang Yang To:倰1)) Yiu Yiu Yiu倰2) TrivaShrink source倰3 ㄗ ㄘ Yang Yang) BayesShrink source) LAWMLShrink source Yang Rui珋cavity DWT wife of mother' s brother wife of mother' s brother DT_CWT ﹝珋)

说明：  一种改进的DTW算法，能有较好的处理效率(An improved DTW algorithm, can be a better deal with the efficiency of)

用matlab做的图像配准程序，可以实现图像配准(Image registration )