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LMS算法使用matlab语言实现仿真 用于自适应滤波器(LMS algorithm using matlab simulation language used to achieve adaptive filter)

基于MATLBA的无刷直流电机仿真，使用新版MATLAB可以运行,基于MATLBA的无刷直流电机仿真，使用新版MATLAB可以运行(thank you )

《小波消噪阈值算法优化》详细阐述了一种自适应小波阈值消噪法。经matlab验证，改进后的算法消噪性能大大提高。(《Optimization threshold algorithm of wavelet de-noising》discribes an adaptive threshold de-noising based on wavelet. It’s proved by matlab program that the performance of adaptive algorithm is much better than traditional algorithm.)

Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reduction, yielding gains in algorithm performance and complexity and in data storage. This paper introduces a new minimum mean square error-based approach to infer the signal subspace in hyperspectral imagery. The method, which is termed hyperspectral signal identification by minimum error, is eigen decomposition based, unsupervised, and fully automatic (i.e., it does not depend on any tuning parameters). It first estimates the signal and noise correlation matrices and then selects the subset of eigenvalues that best represents the signal subspace in the least squared error sense. State-of-the-art performance of the proposed method is illustrated by using simulated and real hyperspectral images.

卡尔曼滤波的matlab实现，以以及卡尔曼滤波matlab实现过程中出现问题的解决方法(kalman filter matlab)

my experiments which are very useful

使用迁移学习和稀疏编码来实现不同领域之间的适配，是一种基于特征表示的迁移学习(This method is designed for image clustering and classification and called sparse subspace clustering.)

说明：  本书共分12章，内容包括matlab r2010a简介、基本使用方法、数组和向量、matlab的数学运 算、字符串、单元数组和结构体、matlab编程、matlab符号处理、matlab绘图、句柄图形、gui(图形用户接口)设计、simulink的建模与仿真、文件和数据的导入与导出等。其中重点介绍了matlab 的基础应用，以简练的语言和代表性的实例向读者介绍matlab的功?和使用方法，为初识 matlab 的用户提供指导。本书对matlab的常用函数和功能进行了详细的介绍，并通过实例及大量的图形进行说明。此外，本书每章都配有习题，辅助读者学习 matlab。(This book is divided into 12 chapters, including the introduction of MATLAB r2010a, basic use method, array and vector, mathematical operation of MATLAB Calculation, string, cell array and structure, matlab programming, matlab symbol processing, matlab drawing, handle graphics, GUI (graphical user interface) design, modeling and Simulation of Simulink, import and export of files and data, etc. It focuses on the basic application of MATLAB, introduces the functions and application methods of MATLAB to the readers with concise language and representative examples, and provides guidance for the users who first know MATLAB. In this book, the common functions and functions of MATLAB are introduced in detail, and illustrated by examples and a large number of graphics. In addition, each chapter of the book is equipped with exercises to assist the readers in learning Matlab.)

说明：  提取超声回波信号中回波时移的互相关计算。(Extraction echo ultrasonic echo signals of time-lapse cross-correlation calculation.)

说明：  《机器人控制系统的设计与MATLAB仿真》一书所有的matlab仿真程序。本书系统地介绍了机器人控制的几种先进设计方法，是作者多年来从事机器人控制系统教学和科研工作的结晶，同时融入了国内外同行近年来所取得的最新成果。全书以机器人为对象，共分10章，包括先进PID控制、神经网络自适应控制、模糊自适应控制、迭代学习控制、反演控制、滑膜控制、自适应鲁棒控制、系统辨识和路径规划。(&quot Robot Control System Design and MATLAB simulation,&quot a book all the matlab simulation program. This book introduces several advanced robot control design methods, is the author of the robot control system for many years engaged in teaching and research work of the crystal, while domestic and foreign counterparts into the latest achievements in recent years. Book to the robot as an object, divided into 10 chapters, including advanced PID control, neural network adaptive control, fuzzy adaptive control, iterative learning control, inversion of control, synovial control, adaptive robust control, system identification and path planning.)