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Download "[ FreeCourseWeb ] The Regularized Fast Hartley Transform - Low-Complexity Parallel Computation of the FHT in One and Multiple Dimensions"

Title:
[ FreeCourseWeb ] The Regularized Fast Hartley Transform - Low-Complexity Parallel Computation of the FHT in One and Multiple Dimensions
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Books > Ebooks
Language:
English
Total Size:
30 MB
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340d89c2db1e75cf48113741fa18bb683ead7418
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[ FreeCourseWeb ] The Regularized Fast Hartley Transform: Low-Complexity Parallel Computation of the FHT in One and Multiple Dimensions



English | 2021 | ISBN: 978-3-030-68245-3 | 320 pages | PDF, EPUB | 30 MB

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.

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