Title :
An inverse signal approach to computing the envelope of a real valued signal
Author :
Kumaresan, Ramdas
Author_Institution :
Dept. of Electr. & Comput. Eng., Rhode Island Univ., Kingston, RI, USA
Abstract :
We address the problem of estimating the envelope of a real valued signal, s(t), that is observed for a duration of T seconds. We model s(t) using a Fourier series, by considering periodic extensions of the signal. By using an analog of the autocorrelation method of linear prediction on the Fourier coefficients of s(t), the envelope of the signal is estimated without explicitly computing the analytic signal through Hilbert transformation. Using this method the envelope of a non-stationary signal can be computed by processing the signal through a sliding T-second window
Keywords :
Fourier series; inverse problems; parameter estimation; prediction theory; signal processing; spectral analysis; Fourier coefficients; Fourier series; Hilbert transformation; autocorrelation method; duration; inverse signal; linear prediction; nonstationary signal; periodic signal extensions; real valued signal envelope; signal processing; sliding T-second window; spectral analysis; Analog computers; Finite impulse response filter; Fourier series; Frequency; Narrowband; Sampling methods; Signal analysis; Signal processing; Spectral analysis; Speech processing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.756230