DocumentCode
290603
Title
An efficient algorithm for analytic signal generation for time-frequency distributions
Author
Reilly, Andrew ; Frazer, G.
Author_Institution
Signal Process. Res. Centre, Queensland Univ. of Technol., Brisbane, Qld., Australia
Volume
iii
fYear
1994
fDate
19-22 Apr 1994
Abstract
In this paper we discuss methods to produce the discrete analytic signal from a discrete real-valued signal. An analytic signal associated with a real signal is a complex signal which contains only positive frequencies and whose projection onto the real axis is the same as the original signal. There are many applications where analytic signals are useful, including the field of communication systems. Our use stems from instantaneous-frequency estimation and time-frequency signal analysis problems. For these problems the negative frequency component of real signals causes unwanted interference. The task of designing a filter to produce an approximation to the ideal analytic signal is not as simple as its formulation might suggest. Our result is that the direct methods of zeroing the negative frequencies, or using Hilbert transform filters, have undesirable defects. We present an alternative, which is similar to the `quadrature´ filters used in modem designs
Keywords
FIR filters; Hilbert transforms; filtering theory; frequency estimation; poles and zeros; signal synthesis; time-frequency analysis; Hilbert transform filters; analytic signal generation; communication systems; discrete analytic signal; discrete real-valued signal; efficient algorithm; instantaneous-frequency estimation; interference; negative frequency component; positive frequencies; quadrature filters; time-frequency distributions; time-frequency signal analysis problems; Algorithm design and analysis; Australia; Finite impulse response filter; Frequency estimation; Interference; Signal analysis; Signal design; Signal generators; Signal processing algorithms; Time frequency analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location
Adelaide, SA
ISSN
1520-6149
Print_ISBN
0-7803-1775-0
Type
conf
DOI
10.1109/ICASSP.1994.390064
Filename
390064
Link To Document