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Content Provider | IEEE Xplore Digital Library |
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Author | Orovic, I. Stankovic, S. Stankovic, L. |
Copyright Year | 2014 |
Description | Author affiliation: Fac. of Electr. Eng., Univ. of Montenegro, Podgorica, Montenegro (Orovic, I.; Stankovic, S.; Stankovic, L.) |
Abstract | A compressive sensing approach for separation of linear frequency modulated signals from non-stationary disturbance is proposed. The linear time-frequency representation is achieved using the Local Polynomial Fourier Transform (LPFT), which allows revealing data local behavior. Based on the LPFT, the frequency-chirp rate domain is used to achieve sparse signal representation. Then the LPFT is combined with the L-statistics to collect only the time-frequency points belonging to the desired signal, while the points belonging to overlapping regions and disturbance are deemed inappropriate and omitted from observations. The relationship between the measurement and sparsity domain is established in order to use the compressive sensing concept and to completely recover the desired signal. The theory is proven on examples. |
Starting Page | 1 |
Ending Page | 4 |
File Size | 228173 |
Page Count | 4 |
File Format | |
ISBN | 9789531841993 |
DOI | 10.1109/ELMAR.2014.6923364 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-09-10 |
Publisher Place | Croatia |
Access Restriction | Subscribed |
Rights Holder | Croatian Society Electronics in Marine - ELMAR |
Subject Keyword | L-estimation Time-frequency analysis Frequency modulation Discrete Fourier transforms time-frequency analysis signal separation Vectors Compressed sensing compressive sensing |
Content Type | Text |
Resource Type | Article |
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