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
Clasificación:Libro Electrónico
Autor principal: Jones, Keith (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Dordrecht : Springer Netherlands : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Signals and Communication Technology,
Temas:
Mathematics-Data processing.
Fourier analysis.
Telecommunication.
Computer networks .
Mathematics.
Computational Mathematics and Numerical Analysis.
Fourier Analysis.
Communications Engineering, Networks.
Computer Communication Networks.
Applications of Mathematics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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