广义离散Hartley变换(GDHT)分支的相似性

2019 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2019-08-01 DOI:10.1109/DISCOVER47552.2019.9008089

B. N. Madhukar, S. Bharathi

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引用次数: 1

摘要

本文给出了GDHT分支的新的相似性质。GDHT及其分支是有限维离散变换，在纯数学和应用数学应用(如数字信号处理、图像处理和通信工程)中具有广泛和分支的应用。当且仅当存在GDHT(及其分支)对时，相似性属性可用于从频域表达式计算时域信号。在这种情况下，属性的优点在于本质上收紧了计算复杂性和支出。

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Similarity properties for the offshoots of the Generalized Discrete Hartley Transform (GDHT)

This paper presents new similarity properties for the offshoots of GDHT. GDHT and its offshoots are finite dimensional discrete transforms that have wide ranging and ramifying applications in Pure Mathematics and Applied Mathematical Applications such as Digital Signal Processing, Image Processing, and Communications Engineering. The similarity properties can be used for computing the time domain signal from its frequency domain expression or contra if and only if an existing GDHT (and its offshoots) pair exists. In such instances, the merits of the properties lie in the belt-tightening of computational intricacy and outlay essentially.

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来源期刊

2019 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)

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