Time-frequency estimation from either signal domain-implementation on a RISC system

A Wigner-distribution-based spectral estimation is optimized for high-level-language implementation on a reduced-instruction-set-computer (RISC) architecture. Traditionally, time-frequency estimators have relied on time histories for the input. The implementation presented allows for equivalent transformation to the t-w plane given either time or frequency input data. The estimator employs a generalized form of the WD and is developed at the algorithm level to offer both flexibility and computational efficiency. Several DFT alternatives including the radix-2 FFT, radix-4 FFT, SRFFT, WFTA, and PFA are investigated in terms of relative computational delays versus a floating-point addition-time-to-multiply-time ratio