Visual C++小波变换技术与工程实践（小波变换…

多尺度分析的图象处理技术，是目前比较新的一种处理方法。-multiscale analysis of image processing technology, is a relatively new approach.

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

微软亚洲研究院论文：基于小波的VBR视频流平滑技术-Microsoft Asia Research Institute Papers : Wavelet-based VBR video streams Smoothing

一个基于小波变换的多谱段图像压缩编码算法，算法使用了基于上下文的codec。对于SAR图像的性能十分优秀。-One based on wavelet transform multi-spectral image compression coding algorithm using context-based codec. SAR images for very good performance.

卷积&相关的VC程序，依托fft实现快速卷积和相关

多维小波变换实现了一种新的处理方法和途径.-Multi-dimensional wavelet transform to achieve a new deal with ways and means.

vc编码的小波变换程序-vc wavelet transform coding procedures

是关于数字水印的空域算法原代码，用的是delphi7.0。是把二值水印嵌入到原图像的低三位的嵌入算法-This is a watermark soucecode based on Spacial Domain Algorithm implemented by using Delphi7.0. The main idea is to embed the binary watermark into the primary image.

利用小波变换对信号进行分析处理,现代信号处理,胡广书编-using wavelet analysis of signal processing, modern signal processing, Mr Kwong Textbook

用vc6.0开发出一小波滤波的程序。内容包括仿真数据生成，文本数据读取，滤波器系数构造，小波分解与重构，小波阈值及阈值函数选择，小波降噪。-vc6.0 developed using a wavelet filter procedures. Include simulation data generation, text to read data, filter coefficients structure, wavelet decomposition and reconstruction. Wavelet threshold and threshold function selection, wavelet denoising.