- Missing Samples Analysis in Signals for Applications to L-Estimation . . .
Consider a subset of M A Mrandomly positioned available samples from = fy(1);y(2);:::;y(M A)gˆ : This set corresponds to a compressed signal The same holds after the applying the L-statistics to x(n) to remove the corrupted samples In both cases, M Q = M M A signal samples are unavailable though for
- TFSA group
University of Montenegro Faculty of Electrical Engineering Center for Signals, Systems, and Information Theory Time Frequency Signal Analysis Group
- TIME-F SIGNAL ANALYSIS
20 years of TFSA research group (1991-2011) 50 years of the Faculty of Electrical Engineering (1961-2011) Podgorica www tfsa ac me l stankovic@ieee org Podgorica, October, 2011 This book is printed as a research report, in a very limited number offor a
- Time-Frequency Signal Analysis
5 6 5 Noisy Signals 434 5 7 Robust Time-Frequency Analysis 442 5 7 1 Robust Short-Time Fourier Transform 443 5 7 2 Robust Wigner Distribution 450 5 7 3 L-Estimation 451 5 7 4 Resulting Noise Distribution in the Local Auto-Correlation Function 454 5 8 5 9
- Time-Frequency Signal Analysis
Time-Frequency Signal Analysis
- TIME-FREQUENCYSIGNALANALYSIS 1327 AnalysisofRadarMicro-Doppler . . .
TIME-FREQUENCYSIGNALANALYSIS 1327 AnalysisofRadarMicro-Doppler SignaturesFromExperimental HelicopterandHumanData ThayananthanThayaparan,SumeetAbrol,EdwinRiseborough,LJubiša Stankovic,DenisLamothe,GrantDuff Abstract–This paper
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1 From the STFT to the Wigner Distribution Ljubisa Stankoviˇ c, Srdjan Stankovi´ ´c, Milo s Dakoviˇ c´ Analysis, processing and parameters estimation of signals whose spectral con-tent changes in time are of crucial in-terest in many applications, including radar
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PAPER IS PUBLISHED IN: SIGNAL PROCESSING, VOLUME 93, ISSUE 5, MAY 2013, PAGES 1392-1397 1 A Real-Time Time-Frequency Based Instantaneous Frequency Estimator Ljubiša Stankovic´⁄, Miloš Dakovic´⁄, Thayananthan Thayaparan⁄⁄, Abstract—Commonly used time-frequency representations,
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