£100.91

Springer - The Regularized Fast Hartley Transform Book

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Description

Improve your understanding of spectrum analysis with The Regularized Fast Hartley Transform. This technical text from the Signals and Communication Technology series addresses the complexities of real-data discrete Fourier transform (DFT) computation. In most real-world applications, spectrum analysis involves mapping real-valued N-tuples to complex-valued counterparts. While hardware conventionally uses a real-from-complex strategy via fast Fourier transform (FFT) algorithms, this book explores optimal formulations for silicon-based implementation. By examining algorithms derived from symmetry properties, this resource provides deep insight into the efficient computation of the DFT. It is a specialized text designed for those working with hardware-based signal processing and complex mathematical transformations in computing environments.

Key Features

Covers the computation of real-data discrete Fourier transform (DFT) for practical spectrum analysis problems.

Explores the mapping of real-valued N-tuples to complex-valued N counterparts.

Discusses hardware implementation strategies using real-from-complex methods.

Examines fast Fourier transform (FFT) algorithms and their use in efficient DFT computation.

Provides technical insights into algorithms derived by exploiting symmetry properties.

Focuses on optimal formulations for silicon-based implementation in signal processing.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
05 May 2012
Listed Since
11 May 2012

Barcode

No barcode data available

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