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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
The Regularized Fast Hartley Transform: Low-Complexity Parallel Computation of the Fht in One and Multiple Dimensions

The Regularized Fast Hartley Transform: Low-Complexity Parallel Computation of the Fht in One and Multiple Dimensions

Jones, Keith John

Hardcover

Technology & EngineeringGeneral Computers

ISBN10: 3030682447
ISBN13: 9783030682446
Publisher: Springer Nature
Published: Sep 3 2021
Pages: 320
Weight: 1.44
Height: 0.81 Width: 6.14 Depth: 9.21
Language: English
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.

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