资源列表
HaarDecomposeAndCompose
- 小波变换现在是个热门，本文提供Haar小波变换的分解与重构代码，是自己编的，提供了对应所用的图片，可以用，有详细注释！-Wavelet transform is now popular, the paper provides Haar wavelet decomposition and reconstruction code, is its own series, used to provide the corresponding image, you can use, with detaile
DWTImageWatermark
- 基于小波变换和HVS的图像水印算法研究,好的论文。-HVS Based on Wavelet Transform and Image Watermarking Algorithm
Algorithm
- 一种新的基于小波变换的图像边缘检测算法研究-A new kind of Research on Edge Detection Algorithm For Image Based On Wavelet Transform
waveletcoeff
- a parts demo sql statement
MADDMABM
- 这是一个应用研华采集卡实现信号,可以进行简单信号采集分析.-This is an application Advantech signal acquisition card can be a simple signal collection and analysis.
Wavelettransform
- 基于VC++图像处理：小波变换 以某些特殊函数为基将数据过程或数据系列变换为级数系列以发现它的类似频谱的特征，从而实现数据处理-VC++ based Image Processing: Wavelet transform based on certain special functions process the data series or data series is transformed into a similar series to find its characteristic s
IntDwt97
- 使用带参数的9-7小波滤波器进行的整数小波变换，采用了参数9-7小波滤波器的提升格式，但是当参数为0.5时候，提升格式不同，因此，此程序中参数选择范围不能包括0.5-implementation of the CLiftDwt class
IntDwt53
- 使用5-3小波进行的整数小波变换，5-3小波使用的是jpeg2000无损压缩推荐的小波。延拓方式采用对称延拓，程序中涉及到了浮点运算，但是输入和输出的数据均为整数。-implementation of the CLiftDwt class.
7
- 高斯滤波，噪声模型，小波变换，中值滤波，灰度形态学对话框C#-Gaussian filtering, noise model, wavelet transform, median filter, grayscale morphology dialog C#
TenLecturesonWaveletsPDF
- 经典的小波十讲，中文版。小波十讲PDF中文版详细讲解了小波理论。-Classic Ten Lectures on Wavelets, the Chinese version. Ten Lectures on Wavelets PDF Chinese version of wavelet theory explained in detail.
venkie00robust
- Due to the popularity of digital technology, more and more digital images are being created and stored every day. This introduces a problem for managing image databases. Here we introduce a novel algorithm that utilizes a wavelet representation of im
PSK
- PSK信号载波相位符号定时联合估计,载波环采用判决反馈环，去除噪声平方损耗，定时模块采用早迟原理， 里边有详细的注释，希望对大家有用。点击即可运行。-PSK signal carrier phase joint estimation of symbol timing, carrier ring using decision feedback loop, remove the noise square loss, using early-late timing module principle