Robust Frequency Estimation of Multi-sinusoidal Signals Using Orthogonal Matching Pursuit with Weak Derivatives Criterion

2018 ◽  
Vol 38 (3) ◽  
pp. 1194-1205 ◽  
Author(s):  
Lihua Fu ◽  
Meng Zhang ◽  
Zhihui Liu ◽  
Hongwei Li
2016 ◽  
Vol 64 (19) ◽  
pp. 5066-5081 ◽  
Author(s):  
Babak Mamandipoor ◽  
Dinesh Ramasamy ◽  
Upamanyu Madhow

Author(s):  
Igor Djurović

AbstractFrequency modulated (FM) signals sampled below the Nyquist rate or with missing samples (nowadays part of wider compressive sensing (CS) framework) are considered. Recently proposed matching pursuit and greedy techniques are inefficient for signals with several phase parameters since they require a search over multidimensional space. An alternative is proposed here based on the random samples consensus algorithm (RANSAC) applied to the instantaneous frequency (IF) estimates obtained from the time-frequency (TF) representation of recordings (undersampled or signal with missing samples). The O’Shea refinement strategy is employed to refine results. The proposed technique is tested against third- and fifth-order polynomial phase signals (PPS) and also for signals corrupted by noise.


2020 ◽  
Vol 58 (7) ◽  
pp. 4529-4546
Author(s):  
Ekaterina Shipilova ◽  
Michel Barret ◽  
Matthieu Bloch ◽  
Jean-Luc Boelle ◽  
Jean-Luc Collette

2011 ◽  
Vol 57 (8) ◽  
pp. 5326-5341 ◽  
Author(s):  
Zakria Hussain ◽  
John Shawe-Taylor ◽  
David R. Hardoon ◽  
Charanpal Dhanjal

2013 ◽  
Vol 61 (2) ◽  
pp. 398-410 ◽  
Author(s):  
Jie Ding ◽  
Laming Chen ◽  
Yuantao Gu

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