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1)  Hadamard transformation
Hadamard门变换
1.
The controlled teleportation was achieved in such a way that control-sides executed the Hadamard transformation and measurement of their particle and toll the outcome of measurement to receiver , then discuss that the receiver can not fully recover the state of sender if one of control-sides did not cooperate.
提出四粒子纠缠W态的控制隐形传输方案,在控制方对拥有的粒子进行Hadamard门变换和测量并把测量结果告诉接收方的前提下,实现了控制隐形传输。
2)  Hadamard transform
Hadamard变换
1.
Application of Hadamard transform in IMS;
Hadamard变换在离子迁移谱仪上的应用研究
2.
In this method,a 3D model is firstly represented as a collection of spherical functions by using Hadamard transforms,and then the rotation invariants of the spherical functions are extracted by spherical harmonic decomposition.
在此方法中,使用Hadamard变换的工具先将三维模型表达成一序列球面函数,然后使用球面调和分析提取这些球面函数的旋转不变量。
3.
It efficiently exploits the frame pattern of MPEG-4 video by using IBB and PBB sequences as the basic units and modeling their dependence in the orthogonal domain after Hadamard transform.
提出了一种新的MPEG-4业务模型,它利用MPEG-4的帧结构特点,以IBB和PBB序列为基本处理单元,通过Hadamard变换在正交变换域对IBB和PBB序列间的相关性进行匹配建模,从而实现对MPEG-4图像数据短期相关和长期相关特性的精确捕获。
3)  complex Hadamard transform
复Hadamard变换
1.
Proposed was a method for embedded watermarks in digital images based on complex Hadamard transforms, whose transform coefficients are characterized by important half spectra property (HSP).
提出一种基于复Hadamard变换的盲数字图像水印算法。
4)  inverse Hadamard transform
Hadamard反变换
1.
By applying time multiplexing buffer management to inverse Hadamard transform,we efficiently reduce its latency.
然后,对Hadamard反变换模块采用了时分复用存储器模块的设计方案,降低了系统时延;再利用IDCT矩阵运算可分离的特点,减少了IDCT模块资源消耗;最后,给出了以Xilinx Viretex2系列XC2V6000为目标器件的综合结果。
5)  Discrete Hadamard transfer
离散Hadamard变换
6)  fast Hadamard transform
快速Hadamard变换
补充资料:Radon变换和逆Radon变换


Radon变换和逆Radon变换


X线物理学术语。CT重建图像成像的主要理论依据之一。1917年澳大利亚数学家Radon首先论证了通过物体某一平面的投影重建物体该平面两维空间分布的公式。他的公式要求获得沿该平面所有可能的直线的全部投影(无限集合)。所获得的投影集称为Radon变换。由Radon变换进行重建图像的操作则称为逆Radon变换。Radon变换和逆Radon变换对CT成像的意义在于,它从数学原理上证实了通过物体某一断层层面“沿直线衰减分布的投影”重建该层面单位体积,即体素的线性衰减系数两维空间分布的可能性。
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