Udsalget slutter om
Udvidet returret til d. 31. januar 2025

The Regularized Fast Hartley Transform - Keith John Jones - Bog

Bag om The Regularized Fast Hartley Transform

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.

Vis mere
  • Sprog:
  • Engelsk
  • ISBN:
  • 9783030682477
  • Indbinding:
  • Paperback
  • Sideantal:
  • 340
  • Udgivet:
  • 4. september 2022
  • Udgave:
  • 22002
  • Størrelse:
  • 155x19x235 mm.
  • Vægt:
  • 517 g.
  • 8-11 hverdage.
  • 12. december 2024
På lager
Forlænget returret til d. 31. januar 2025

Normalpris

  • BLACK FRIDAY
    : :

Medlemspris

Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

Beskrivelse af The Regularized Fast Hartley Transform

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.

Brugerbedømmelser af The Regularized Fast Hartley Transform



Gør som tusindvis af andre bogelskere

Tilmeld dig nyhedsbrevet og få gode tilbud og inspiration til din næste læsning.