based on the LMS (minimum mean square error algorithm) adaptive filtering of the...

利用小波的对图像的分解和重构，然后对重构图像消噪，并比较消噪前后的图像。-the use of wavelet image decomposition and reconstruction, and then reconstructed image denoising, and compare the before and after denoising images.

用一维小波变换进行图像去噪处理，有较低的计算复杂度，提高效率和计算速度。-Victoria with a wavelet transform image denoising, lower computational complexity, increase efficiency and speed.

滤波器系数重构运用该算法可以对图象进行去噪处理-reconstruction filter coefficients using this algorithm can be right image denoising

小波分析文档资料使用MATLAB设计小波变换程序中的若干问题-Wavelet analysis of the design documentation using the MATLAB Wavelet Transform proceedings a number of issues

本书的目的主要是向读者展示傅里叶分析和小波的许多基础知识以及在信号分析方面的应用。全书分为8章和2个附录，前言部分是学习第1章至第7章的准备知识，即内积空间；第1章讲解傅里叶系列的基础知识；第2章讲解傅里叶变换；第3章介绍离散傅里叶变换以及快速傅里叶变换；第4章至第7章讨论小波，重点在于正交小波的构建；附录部分则介绍稍微复杂的一些技术主题以及演示概念或产生图形的MATLAB代码。许多关于小波的文章和参考书籍均要求读者具有复杂的数学背景知识，本书则只要求学生具有较好的微积分以及线性代数知识，通俗易懂，是数学、计算机、电子、通信、地质、医学、机械等专业高年级本科生及研究生的基础教科书，也可作为相关技术人员的参考书。-The main purpose of this book is to show readers Fourier and wavelet analysis of many of the basic knowledge as well as in signal analysis applications. The topics are divided into eight chapters and two appendices, is to learn from the preamble of Chapter 1 to Chapter 7 of the preparation of knowledge, that is, inner product space Chapter 1 on the basis of Fourier series of knowledge Chapter 2 on Fourier Transform Chapter 3 introduced the Discrete Fourier Transform and Fast Fourier Transform Chapter 4 to Chapter 7 to discuss wavelet, with emphasis on construction of orthogonal wavelet appendix describes slightly complex themes, as well as a number of technical concepts or pr

AppWizard has created this 小波变换 application for you. This application not only demonstrates the basics of using the Microsoft Foundation classes but is also a starting point for writing your application. This file contains a summary of what you will find in each of the files that make up your 小波变换 application. -AppWizard has created this wavelet transform application for you. This applicationnot only demonstrates the basics of using the Microsoft Foundation classesbut is also a starting point for writing your application.This file contains a summary of what you will find in each of the files thatmake up your wavelet transform application.

快速傅立叶变换FFT的C源程序，包括谐波检测部分-Fast Fourier Transform FFT C-source code, including parts of harmonic detection

小波变换算法在生理信号中的应用及相关论述-Wavelet transform algorithm in the application of physiological signals and related discussion

方位水平仪的基本算法 主要功能是空间定位-position level for the basic algorithm is the main function of spatial location

小波图像处理程序-wavelet image processing