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A task of time delay estimation for wideband signals in non-Gaussian environment is considered. An approach based on application of robust DFT for obtaining spectrum estimates of sensor signals for observation interval is proposed and shown to perform better than conventional approaches for noise modeled as symmetric α-stable process.
In the era of technology expansion, the digital devices are made to achieve high resolution signal acquisition, producing a large amount of digital data. This is a common issue in sensing systems dealing with radar signals, multimedia signals, medical and biomedical data, etc. The acquisition process is done according to the Shanon-Nyquist theorem with the sampling rate which is usually at least twice...
Noise robust compressive sensing algorithm is considered. This algorithm allows an efficient signal reconstruction in the presence of different types of noise due to the possibility to change minimization norm. For instance, the commonly used l1 and l2 norms, provide good results in case of Laplace and Gaussian noise. However, when the signal is corrupted by Cauchy or Cubic Gaussian noise, these norms...
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