The Regularized Fast Hartley Transform : Optimal Formulation of Real-Data Fast Fourier Transform for Silicon-Based Implementation in Resource-Constrained Environments

When designing high-performance DSP systems for implementation with silicon-based computing technology, the oft-encountered problem of the real-data DFT is typically addressed by exploiting an existing complex-data FFT, which can easily result in an overly complex and resource-hungry solution. The r...

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Detalles Bibliográficos
Autor Principal: Jones, Keith
Formato: Livre numérique
Idioma:Anglais
Publicado: Dordrecht : Springer Netherlands [20..].
Cham : Springer Nature
Edición:1st ed. 2010.
Series:Signals and Communication Technology
Acceso en liña:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• The Regularized Fast Hartley Transform, Texte imprimé, 9789048139163
• The Regularized Fast Hartley Transform, Texte imprimé, 9789048139620
• The Regularized Fast Hartley Transform, Texte imprimé, 9789048139163
• The Regularized Fast Hartley Transform, Texte imprimé, 9789400731783
Table des matières:
  • Background to Research Fast Solutions to Real-Data Discrete Fourier Transform The Discrete Hartley Transform Derivation of the Regularized Fast Hartley Transform Algorithm Design for Hardware-Based Computing Technologies Derivation of Area-Efficient and Scalable Parallel Architecture Design of Arithmetic Unit for Resource-Constrained Solution Computation of 2n-Point Real-Data Discrete Fourier Transform Applications of Regularized Fast Hartley Transform Summary and Conclusions