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The Regularized Fast Hartley Transform
- Low-Complexity Parallel Computation of the FHT in One and Multiple Dimensions
Engelsk Paperback
The Regularized Fast Hartley Transform
- Low-Complexity Parallel Computation of the FHT in One and Multiple Dimensions
Engelsk Paperback

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Om denne bog
This book describes how a key signal/image processing algorithm - that of the fast Hartley transform (FHT) or, via a simple conversion routine between their outputs, of the real‑data version of the ubiquitous fast Fourier transform (FFT) - might best be formulated to facilitate computationally-efficient solutions. The author discusses this for both 1-D (such as required, for example, for the spectrum analysis of audio signals) and m‑D (such as required, for example, for the compression of noisy 2-D images or the watermarking of 3-D video signals) cases, but requiring few computing resources (i.e. low arithmetic/memory/power requirements, etc.). This is particularly relevant for those application areas, such as mobile communications, where the available silicon resources (as well as the battery-life) are expected to be limited. The aim of this monograph, where silicon‑based computing technology and a resource‑constrained environment is assumed and the data is real-valued in nature, has thus been to seek solutions that best match the actual problem needing to be solved.

Product detaljer
Sprog:
Engelsk
Sider:
320
ISBN-13:
9783030682477
Indbinding:
Paperback
Udgave:
ISBN-10:
3030682471
Kategori:
Udg. Dato:
4 sep 2022
Længde:
0mm
Bredde:
155mm
Højde:
235mm
Forlag:
Springer Nature Switzerland AG
Oplagsdato:
4 sep 2022
Forfatter(e):
Books from the same author
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