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After analyzing Tian and Alattar algorithm, a novel lossless information hiding method based on integer linear transform was proposed. The near character of pixels could be analyzed. After the less distorted revisable vector was transformed by integer linear transform, hidden information was embedded by pair-check modulation.

在分析Tian和Alattar隐藏算法的基础上,提出了一种基于改进整数线性变换的无损隐秘传输方法,通过分析可修改矢量区域象素的邻近相关性,选取出对图像质量影响较小的可修改矢量,进行整数线性变换后再嵌入信息。

Then the applications of ridgelet transform and curvelet transform in image processing are discussed.

然后,分析了Ridgelet 变换和Curvelet 变换在图像处理中的应用。

Ridgelet transform is introduced in the fifth chapter. It includes principle, implement method and application of this transform.

第五章单独对Ridgelet变换进行了介绍,包括该变换的原理、实现方法和应用。

This paper first introduces two basic algorithms of spare signal expansion, ridgelet transform and curvelet transform, and gives their implementation.

本文首先在系统研究稀疏信号表示理论的基础上,实现了其中的Ridgelet和Curvelet 两种基本变换算法。

Experiment results show that Ridgelet transform is more efective than the wavelet transform in seismic signal denoising.

数值实验结果表明,Ridgelet变换在地震信号去噪方面优于小波变换。

Numerical results show that ridgelet transform is more effective than the wavelet transform in approximating and denoising images with straight edges.

实验结果说明,脊波在对具有直线边缘的图像逼近和去噪时的确比小波有效。

An Integer Wavelet Transform with parameters is firstly constructed and the transmutative Rijndael code is used to construct a Hash function, and then a visible digital watermark algorithm based on the Integer Wavelet Translation with parameters, Discrete Cosine Transform and the Transmutative Rijndael encryption algorithm are presented.

构造出了带参数的整数小波,应用变型的Rijndael密码构造出了Hash函数。提出了一种基于带参数整数小波变换、离散余弦变换及变型Rijndael加密算法的可见数字水印算法。

The algorithm and application to unstationary signal analysis are distussed with wavelet transform in order to overcome defect of Fourier transform only applied to stationary signal analysis on frequency domain.

论文针对传统Fourier变换只能在频域上对稳定信号进行分析的不足,探讨了利用小波变换进行非平稳信号分析的算法和应用,并在两者之间做了比较。

In this paper firstly both the fundamental principle of wavelet transform and decomposing the signal with wavelet transform are introduced.

从小波变换的理论背景出发,介绍了利用小波变换对信号进行分解的原理。

Then a novel feature extraction method of warship radio noise using Dopplerlet transform is proposed, and the decompounded flow of the Dopplerlet transform based on evolutionary programming is raised.

基于此,提出了一种基于Dopplerlet变换的舰船辐射噪声特征提取方法,给出了基于进化规划算法的Dopplerlet变换分解流程。

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