小波变换学习的绝好资料,,不同于一般的数学抽象推导,一定要看看.我看了以后收获非常大...

TI C64X下垂直小波变换的手工汇编源代码-TI C64X perpendicular wavelet transform manual compilation of source code

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

小波图像处理程序-wavelet image processing

《小波分析和应用》第一部分理论部分电子教案-err

给出了小波变换的具体java实现，小波变换的java程序，共包括waveletgen.java 和transformation.java-given wavelet transform to achieve specific java, java wavelet transform procedures, it includes waveletgen.java and transformation.java

著名大学的小波变换课件，浅显易懂。特别适合学习小波的人。-Wavelet transform well-known University of courseware, easy to understand. Particularly suitable for those who study wavelet.

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

小波算法vc实现2-wavelet algorithm to achieve two vc

3D的小波变换编码，用的是SPIHT方法。-3D wavelet transform coding, SPIHT method is used.

小波分析-wavelet analysis