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, hasthus been to seek solutions that best match the actual problem needing to be solved.
Produkteigenschaften
- Artikelnummer: 9783030682446
- Medium: Buch
- ISBN: 978-3-030-68244-6
- Verlag: Springer
- Erscheinungstermin: 03.09.2021
- Sprache(n): Englisch
- Auflage: 2. Auflage 2022
- Produktform: Gebunden, HC runder Rücken kaschiert
- Gewicht: 676 g
- Seiten: 320
- Format (B x H x T): 160 x 241 x 24 mm
- Ausgabetyp: Kein, Unbekannt
- Vorauflage: 978-90-481-3916-3
