提出了一种在脊波变换域上进行图像认证的新算法。
A novel algorithm for image authentication in ridgelet domain is presented.
在这一部分分别介绍了冗余变换中的离散脊波变换、二进小波变换、曲波变换、快速曲波变换。
In this section, the discrete transform ridge redundant wavelet transform, dyadic wavelet transform, curvelet transformation, curvelet transformation have been introduced.
分析了有限脊小波变换可以实现图像的旋转不变性和平移不变性，提出了结合两种小波变换提取图像纹理特征的方法，实现了在小波域中进行图像的不变纹理分类。
A method using two wavelet transform to get the texture feature for remote sensing is put forward, in order to turn out the invariant texture classification for remote sensing in the wavelet domain.
利用快速四阶循环累积量算法、时频脊线分析与小波变换相结合的方法，实现了跳频频率和码速率等参数的高精度估计。
They are used to yield accurate estimation for the hop frequencies and hop rate, which are fast 4th-order cyclic cumulants algorithm, time-frequency backbone curve analysis, and wavelet transform.
利用快速四阶循环累积量算法、时频脊线分析与小波变换相结合的方法，实现了跳频频率和码速率等参数的高精度估计。
They are used to yield accurate estimation for the hop frequencies and hop rate, which are fast 4th-order cyclic cumulants algorithm, time-frequency backbone curve analysis, and wavelet transform.
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