并学习了小波变换的定义、连续小波变换、离散小波变换。
And study Wavelet Transform definition, Continue Wavelet Transform and Discrete Wavelet Transform.
在实时信号分析中，离散小波变换在DSP上的有效应用受到了特别的关注。
An efficient implementation of the discrete form of the wavelet transform on digital signal processors (DSPs) is especially interesting for the analysis of real time signals.
目前有很多基于离散小波变换(DWT)的水印算法，但结合分形编码技术的很少。
Currently, there are many DWT (Discrete wavelet Transform) based watermarking algorithms, but few of them discuss the issue in association with fractal image coding in wavelet domain.
论述了连续小波变换和离散小波变换的性质、方法，介绍了离散二进小波变换的快速算法。
The properties of the wavelet transform and the discrete dyadic wavelet transform are discussed and a fast wavelet algorithm for one-dimensional signals is described.
随着新的图像和视频压缩标准的施行，基于离散小波变换的数字水印技术成为研究的热点。
With the enforcement of the new compression standard of picture and video, the digital watermarking technology based on DWT are becoming the focus of the research of digital watermarking.
研究了基于整数到整数形状自适应离散小波变换对任意形状感兴趣区域的有损和无损编码技术。
Arbitrary shape region of interest lossily and losslessly coding technology based on integer-to-integer shape adaptive discrete wavelet transform has also been studied.
提出了两种在相位轮廓术中使用离散小波变换提取条纹相位的方法：单次分解法和多次分解法。
Two approaches, single decomposition approach and multi-decomposition approach, using discrete wavelet transform for extracting phase in phase profilometry are proposed.
针对红外图像对比度差、噪声较大的缺点，提出一种基于二维离散小波变换的红外图像增强方法。
Aiming at the bad contrast of infrared image and big noise, this article gives out an arithmetic of image enhancement based on the disperse of two-dimensional and wavelet transform.
目前有很多基于离散小波变换 （DWT）的水印算法，但很少讨论到水印嵌入子带的选择问题。
Though many DWT-based watermarking algorithms have been presented, few of them discuss the issue that which detail subband is the better choice to watermark.
以下是本文的三个创新性成果：1设计了一种并行阵列式二维离散小波变换DWT提升格式的硬件结构。
This thesis achieves the following three innovative results: 1 the thesis presents a new parallel array 2-d discrete wavelet transform DWT hardware architecture based on lifting schemes.
同步信号嵌入时域，以提高搜索效率，水印隐藏在离散小波变换域的低频系数中，以达到较好的鲁棒性。
Search efficiency is improved by embedding synchronous signals into time domain. Better robustness is achieved by hiding the watermarking into the low frequency coefficient of DWT domain.
目前主要有两种变换域方法，一种是使用离散余弦变换(DCT)，另一种是使用离散小波变换(DWT)。
There are two main transform domain methods, one is to use the discrete cosine transformation (DCT); the other would be the use of discrete wavelet transforms (DWT).
该频域算法采用更常见的含信息量丰富的灰度图像作为水印，结合离散小波变换和离散余弦变换的共同优点。
The frequency domain algorithm adopts the common and information - rich gray level image as a watermark, which achieves the collaborative advantages of combining the DWT and DCT.
叙述了小波基函数、连续小波变换、离散小波变换、二进小波变换、二维小波变换、多分辨分析小波变换理论。
Describes the wavelet function, continuous wavelet transform, discrete wavelet transform, dyadic wavelet transform, wavelet transform, multiresolution analysis, wavelet transform theory.
通过深入研究三维离散小波变换(3dDWT)核心算法，将其分解为3个一维的小波变换(1d DWT)。
By studying three dimensional discrete wavelet transform (3d DWT) core algorithm in deepness, the paper divides it into three one dimensional discrete wavelet transforms (1d DWT).
该技术在水印嵌入时，由混沌系统生成水印序列，并在离散小波变换的低频子带上嵌入水印，保证了水印的鲁棒性。
While embedding watermarking, the watermarking sequences are produced by the chaos system, and are embedded into the low frequent coefficient of DWT domain to guarantee the robustness of watermarking.
信号处理的先进技术，如离散小波变换(DWT)和纠正多分辨傅立叶变换(MFT中)是适用于调查的振动和电流瞬变。
Advanced signal processing techniques such as discrete wavelet transform (DWT) and a corrected multiresolution Fourier transform (MFT) are applied to investigate the vibration and current transients.
结合这种压缩思想，用基于离散余弦变换和基于离散小波变换的压缩算法，对实用型模块化成像光谱仪多光谱图像进行压缩。
Combining the thought dimensioned above, with discrete cosine transform-based and DWT-based compression algorithms, the OMIS multi-spectral images are compressed.
在实验中，将该算法分别应用到实值离散小波变换域和双树复数小波变换域，并和隐马尔科夫模型的去噪方法做了比较分析。
Secondly, using locally variance estimation, a locally adaptive image-denoising algorithm was presented. Also this algorithm could be applied to the complex wavelet domain.
该部分，使用第二届国际BCI竞赛的相关公开数据，针对想象左右手运动脑电信号采用离散小波变换方法进行了特征提取；
Oriented to the left vs. right hand motor imagery based BCI, research was carried out for the small number of samples from the public data sets of the 2nd International BCI Algorithm Contests.
然后探讨了连续小波变换、离散小波变换、小波包变换等小波理论中几种重要的变换方法，分析了这几种小波变换的时频特性。
Then it discusses several transform methods, such as continuous wavelet transform, discrete wavelet transform and wavelet packet transform of which characteristics are analyzed.
与jpeg相比，JPEG 2000作了大幅改进，其中最重要的是用离散小波变换(DWT)替代了JPEG标准中的离散余弦变换。
Compared with JPEG, JPEG 2000 made substantial improvements, the most important of which is discrete wavelet transform (DWT) instead of the JPEG standard discrete cosine transform.
文章提出一种基于小波变换的新颖的鲁棒语音扩谱水印算法。算法对原始语音进行离散小波变换，利用扩谱水印技术将水印隐藏到小波域。
This paper proposes a novel robust spread-spectrum (ss) audio watermarking scheme based on DWT, in which a watermark is embedded into wavelet domain which original audio signal is transformed to.
针对离散小波变换具有平移变化性和弱方向性的特性，本文提出了一种基于双树复小波变换(DT- CWT)统计模型的医学图像纹理检索方法。
Presents a novel texture retrieval approach of medical images based on statistic model by Dual-Tree Complex Wavelet Trans - form (DT-CWT) for the shift sensitivity and poor directionality of DWT.
与传统的JPEG标准相比，JPEG2000标准采用了离散小波变换、内嵌编码等技术，从而具有了渐进传输、感兴趣区域压缩、抗误码等新特性。
Compared with the JPEG standard, JPEG2000 standard adopts some different compress technique, such as the Discrete Wavelet Transform, Embedded Coding and so on.
对于边界区域，建立了基于对比度的像素选取方法进行融合处理。实验对比结果表明，该方法明显优于拉普拉斯金字塔融合算法和离散小波变换融合算法。
The part between clear part and blurring one is fused by the choice of the corresponding pixel based on the contrast. The experiments show that the proposed method outperforms them…
实验中以CDF 9/7二维离散小波变换为例，对于JPEG 2000中推荐使用的5级小波分解，本文算法相对于原空间组合推举算法的缩放运算乘法量减少了34。
Using 5-level CDF9/7 2-D discrete wavelet transform recommend in the standard of JPEG2000, the multiplication operation for scaling in the algorithm is decreased by 34.
菲舍尔更喜欢一种比较不常用的数学方法——小波变换，这种方法可以将声音分解成比较短的离散的小波成分。
Fischer prefers to use a less common mathematical process known as the wavelet transformation, which represents the sound in terms of short, discrete components known as wavelets.
文章提出了基于离散平稳小波变换和最佳阈值分割算法的织物疵点边缘检测方法。
This paper proposed a method for fabric defects edge detection based on discrete stationary wavelet transform (DSWT) and optimal threshold segmentation algorithm (OTSA).
文章提出了基于离散平稳小波变换和最佳阈值分割算法的织物疵点边缘检测方法。
This paper proposed a method for fabric defects edge detection based on discrete stationary wavelet transform (DSWT) and optimal threshold segmentation algorithm (OTSA).
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