用于小波变换的图像信号二维频谱分析

一个小波压缩的控件-a wavelet compression controls

小波变换，D4尺度函数和小波函数计算及绘制-Wavelet transform, D4 scaling function and wavelet function calculation and mapping

在图像中嵌入水印的matlab源代码（cox算法，cdma方式，以及小波变换方式），及嵌入结果图片-image in the watermark embedded in the source code Matlab (cox algorithm, cdma, and the wavelet transform mode), and the results of embedding Photo

对输入图像进行预处理后提取目标轮廓，经过归一化处理得到目标形 状的平移、尺度不变的链状表达，再通过小波变换进行多尺度分析；引入Zernike 矩，利用Zernike 矩的特性，实现小波表达的旋转不变性，解决了小波变换对起始点的依赖。-right to import images from pretreatment profile targets, after processing to be a target shape translation, The scale-invariant chain expression, and through the wavelet transform multi-scale analysis; introduction Zernike moment, use Zernike moments, wavelet achieve expression of rotation invariance, solve the wavelet transform the dependence of the threshold.

给出了在matlab环境下的源代码，经过了上机调试，可以实现小波变换对图像的二次压缩！-given Matlab environment in the source code, after the Machine, can achieve a wavelet transform of the second image compression!

小波变换与工程应用（超星格式电子书籍）-wavelet transform and Engineering Applications (Superstar format e-books)

一个提升的整数小波变换的程序，用C++实现。-an upgrade of the integral wavelet transform procedures, C to achieve.

包括一次行、列变换，一层，二层，三层小波变换，低通，高通滤波，图像复原，增强，融合-including a trip out transform, layer, Layer wavelet transform, low-pass and high-pass filtering, image restoration, enhancement, integration

提升方法实现小波变换，大大提高了小波变换的速度，并且不会降低图像恢复质量，很有价值的算法实现-upgrade method wavelet transform and greatly enhance the speed of wavelet transform, and will not reduce the image restoration quality, great value Algorithm

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