IEICE TRANSACTIONS on Fundamentals
Signal Dependent Time-Frequency and Time-Scale Signal Representations Designed Using the Radon Transform
Summary :
Time-frequency representations (TFRs) have been developed as tools for analysis of non-stationary signals. Signal dependent TFRs are known to perform well for a much wider range of signals than any fixed (signal independent) TFR. This paper describes customised and sequential versions of the signal dependent TFR proposed in [1]. The method, which is based on the use of the Radon transform at distance zero in the ambiguity domain, is simple and effective in dealing with both simulated and real data. The use of the described method for time-scale analysis is also presented. In addition, the paper investigates a simple technique for detection of noisy chirp signals using the Radon transfrom in the ambiguity domain.
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- IEICE TRANSACTIONS on Fundamentals Vol.E78-A No.9 pp.1170-1177
- Publication Date
- 1995/09/25
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- Special Section PAPER (Special Section on Information Theory and Its Applications)
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Branko RISTIC, Boualem BOASHASH, "Signal Dependent Time-Frequency and Time-Scale Signal Representations Designed Using the Radon Transform" in IEICE TRANSACTIONS on Fundamentals,
vol. E78-A, no. 9, pp. 1170-1177, September 1995, doi: .
Abstract: Time-frequency representations (TFRs) have been developed as tools for analysis of non-stationary signals. Signal dependent TFRs are known to perform well for a much wider range of signals than any fixed (signal independent) TFR. This paper describes customised and sequential versions of the signal dependent TFR proposed in [1]. The method, which is based on the use of the Radon transform at distance zero in the ambiguity domain, is simple and effective in dealing with both simulated and real data. The use of the described method for time-scale analysis is also presented. In addition, the paper investigates a simple technique for detection of noisy chirp signals using the Radon transfrom in the ambiguity domain.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e78-a_9_1170/_p
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@ARTICLE{e78-a_9_1170,
author={Branko RISTIC, Boualem BOASHASH, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Signal Dependent Time-Frequency and Time-Scale Signal Representations Designed Using the Radon Transform},
year={1995},
volume={E78-A},
number={9},
pages={1170-1177},
abstract={Time-frequency representations (TFRs) have been developed as tools for analysis of non-stationary signals. Signal dependent TFRs are known to perform well for a much wider range of signals than any fixed (signal independent) TFR. This paper describes customised and sequential versions of the signal dependent TFR proposed in [1]. The method, which is based on the use of the Radon transform at distance zero in the ambiguity domain, is simple and effective in dealing with both simulated and real data. The use of the described method for time-scale analysis is also presented. In addition, the paper investigates a simple technique for detection of noisy chirp signals using the Radon transfrom in the ambiguity domain.},
keywords={},
doi={},
ISSN={},
month={September},}
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TY - JOUR
TI - Signal Dependent Time-Frequency and Time-Scale Signal Representations Designed Using the Radon Transform
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1170
EP - 1177
AU - Branko RISTIC
AU - Boualem BOASHASH
PY - 1995
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E78-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 1995
AB - Time-frequency representations (TFRs) have been developed as tools for analysis of non-stationary signals. Signal dependent TFRs are known to perform well for a much wider range of signals than any fixed (signal independent) TFR. This paper describes customised and sequential versions of the signal dependent TFR proposed in [1]. The method, which is based on the use of the Radon transform at distance zero in the ambiguity domain, is simple and effective in dealing with both simulated and real data. The use of the described method for time-scale analysis is also presented. In addition, the paper investigates a simple technique for detection of noisy chirp signals using the Radon transfrom in the ambiguity domain.
ER -
English
