Title :
Transforming real-valued sequences: fast Fourier versus fast Hartley transform algorithms
Author_Institution :
Nat. Geophys. Res. Inst., Hyderabad, India
fDate :
11/1/1994 12:00:00 AM
Abstract :
Five programs for efficient computation of DFT of real-valued data are analyzed with respect to their operation counts vis-a-vis run times on weak and powerful floating-point processors. The results help dispose of the claims of superiority of FHT over corresponding real-valued FFT. The Bruun (1978) algorithm turns out to be a “best” performer
Keywords :
Hartley transforms; discrete Fourier transforms; fast Fourier transforms; floating point arithmetic; sequences; signal processing; Bruun algorithm; DFT; FHT; fast Fourier transform algorithms; fast Hartley transform algorithms; real-valued FFT; real-valued data; real-valued sequences; signal processing; Algorithm design and analysis; Arithmetic; Computer applications; Computer architecture; Data analysis; Discrete Fourier transforms; Fast Fourier transforms; Hardware; Signal processing algorithms; Timing;
Journal_Title :
Signal Processing, IEEE Transactions on