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Performance of parametric slant-Haar transforms

机译:参数化倾斜Haar变换的性能

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In general, there is a tradeoff between an orthogonal transform performance and its computational complexity. The Haar transform is by far the fastest of all unitary transforms. The objective of this work is to develop a class of unitary transforms that exhibits computational efficiency as well as good performance utilizing the Haar and slant transforms. This class is called the parametric slant-Haar transforms that includes as special cases the commonly used Haar and slant-Haar transforms. Examples of parametric slant-Haar transforms are given. An efficient fast parametric slant-Haar transform is introduced and its computational complexity is discussed. Relative performance of parametric slant-Haar transforms to that of the Karhunen-Loeve transform (KLT) is discussed. A partially signal dependent parametric slant-Haar transform is also introduced.
机译:通常,在正交变换性能与其计算复杂度之间要进行权衡。迄今为止,Haar变换是所有单一变换中最快的。这项工作的目的是开发一种利用Haar和slant变换表现出计算效率以及良好性能的unit变换。此类称为参数化倾斜Haar变换,在特殊情况下包括常用的Haar和倾斜Haar变换。给出了参数化倾斜Haar变换的示例。介绍了一种高效的快速参数化倾斜Haar变换,并讨论了其计算复杂度。讨论了参数倾斜Haar变换与Karhunen-Loeve变换(KLT)的相对性能。还介绍了部分依赖信号的参量倾斜Haar变换。

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