An Adaptive Denoising Algorithm for Improving Frequency Estimation and Tracking

Wijenayake, Chamith; Antonir, Amir; Keller, Gabriele; Ignjatović, Aleksandar

doi:10.1109/tcsii.2019.2898451

Cited by 7 publications

(1 citation statement)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Because the CDs accurately encode the shape of a signal these applications indicate the superior use of CDs for signal interpolation. An adaptive denoising algorithm based on CDs has been reported in [13], which demonstrates how CDs can be employed to obtain continuous-time counterparts of existing algorithms which are based on finite differences. Further, the denoising algorithm in [13] also demonstrate the use of CDs matched to the spectral features of underlying signals.…”

Section: B Signal Processing Applications Of Chromatic Derivativesmentioning

confidence: 98%

Acquisition of High Bandwidth Signals by Sampling an Analog Chromatic Derivatives Filterbank

Antonir

Wijenayake

Ignjatović

2021

2021 IEEE International Symposium on Circuits and Systems (ISCAS)

Self Cite

View full text Add to dashboard Cite

A method for acquisition of high bandwidth signals is presented as a typical example of a signal processing application of chromatic derivatives and approximations. Chromatic derivatives are numerically robust differential operators based on orthogonal polynomials. Theoretical formulations required for synthesising an analog chromatic derivative filterbank based on all-pass filters is presented. Such an analog filterbank with N +1 filters can be used for digital acquisition of high bandwidth signals by simultaneously sampling the outputs of the filterbank at a rate 2/(N + 1) of the Nyquist rate, resulting in samples of the signal and higher order chromatic derivatives up to order N , which in turn are used to reconstruct the original signal back. The value of the signal at any instant is obtained from only two nearest samples of the chromatic derivatives filterbank.

show abstract

Section: B Signal Processing Applications Of Chromatic Derivativesmentioning

confidence: 98%