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方便的小波变换原代码
- 小波变换源代码 wav_basic.c: basic filtering, decimation and upsampling routines. wav_basic.h: interface to wav_basic.c. wav_trf.c: transform routines. wav_trf.h: interface to wav_trf.c. wav_filters.h: where filter banks and their properties are de
WaveletAnalysisBasedOnMATLAB
- 此电子书对一些基本小波理论进行了述说，然后注重对matlab里面的关于小波分析的工具箱进行说明提供了很多的命令-this electronic book some of the basic right of wavelet theory describing, and then focus on the inside Matlab on wavelet analysis toolkit to provide a descr iption of a lot of orders
2212306813320061221531382152758
- 基本的图像处理小程序，包括边缘检测等，很好用的-basic image processing small procedures, including edge detection, the good
xbbhydm
- wav_basic.c: basic filtering, decimation and upsampling routines. wav_basic.h: interface to wav_basic.c. wav_trf.c: transform routines. wav_trf.h: interface to wav_trf.c. wav_filters.h: where filter banks and their properties are de
VC图像处理的一些基本算法及小波变换源码
- VC图像处理的一些基本算法及小波变换源码-VC image processing algorithms and some basic wavelet transform FOSS
方位水平仪基本算法
- 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
小波压缩代码
- 对图像进行2维小波编码 来实现压缩。将小波分析引入图像压缩的范畴也是一个重要的手段，并且有着它自己的特点。它的特点在于压缩比高、压缩速度快，压缩后能保持信号与图像的特征基本不变，且在传递过程中可以抗干扰等等。（有两种方法）-of two-dimensional images wavelet compression coding to achieve. Wavelet Image Compression analysis of the introduction of the context is
Tyc wavelet
- \\examples 目录中存放的是渐进传输的应用举例，包含有所需的.dll文件； \\wavelet 目录中存放的是具体的实现源代码； \\wavelet 子目录中存放的是基本的小波处理函数代码； \\wavelet_plugin 子目录中存放的是.dll的实现代码-\\ examples directory storage is a gradual transfer of, for example, contain essential. Dll file; \\ Wavelet dire
conditional_sta_scatter
- 基本轮廓波变换之后，在变换域空间的系数分布散点图-Basic outline of the wavelet transform, the coefficients in the transform domain spatial distribution of scatter
MODWT-c.zip
- Maximal Overlap Discrete Wavelet Transformation, implemented in C. Shift invariant transform, useful for application of multiresolution time series analysis. Includes basic Wavelet coefficients Haar, Daubechies, Least Asymmetric.,Maximal Overlap
dwt
- 最基础的离散小波变换实现图像处理的程序。-The most basic discrete wavelet transform image processing program.
wavelet
- 一个具体的小波变换实现源代码； \wavelet 子目录中存放的是基本的小波处理函数代码； \wavelet_plugin 子目录中存放的是.dll的实现代码。- A concrete wavelet transformation realization source code; In the \wavelet child directory deposits is the basic wavelet processing function code; In the \wavelet_plu
vision
- 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
waveletcodebyGuleryuz
- Guleryuz写的一个完整的小波变换的源代码。主要包括：wav_basic.c: basic filtering, decimation and upsampling routines. wav_basic.h: interface to wav_basic.c. wav_trf.c: transform routines. wav_trf.h: interface to wav_trf.c. wav_filters.h: where filter banks and the
dbwavlet
- 关于小波变换的基本编程，能够实现小波消噪。-Wavelet transform on the basic programming, wavelet denoising can be achieved.
WVLT
- 子目录说明： \wvlt\lib\ 中存放的一些基本的小波基定义和相关库函数； \wvlt\wrefine\ 中存放的是小波基细化的程序代码； \wvlt\wxfrm\ 中存放的是一维小波变换的数学实现。-Subdirectory note: wvltlib stored in some of the basic definition of wavelet and related library function wvltwrefine is stored in wavelet r
waveletanalysisandapplication
- 小波分析及其应用，详细介绍了小波变换原理和基本方法，还重点介绍小波变换在语音和图像处理、信号检测、多尺度边缘提取等领域的应用。-Wavelet analysis and applications, described in detail wavelet transform principles and basic methods, but also focuses on Wavelet Transform in the voice and image processing, signal det
wavelets_qiu
- 关于小波分析基础课件的包含一些英文资料 -Wavelet analysis about courseware contains some basic information in English
average
- This program perform Image fusion based on wavelet transform. This is very basic method for image fusion. This method averages two images and performs fusion.
cwt-ccode
- 连续小波变换程序，输入二进制文件，然后然后进行小波变换 C语言程序-/*this program compute the contious wavelet transform of the signal in a data file using the Professor A.Grossman s approach. the analyzing basic wavelet is modulated gaussian: exp(iwt)exp(-t**2/2)where w si th