Technique to Adjust Adaptive Digital Filter Coefficients in Residue Number System Based Filters

Autor: Kandarpa Kumar Sarma, Alexander Voznesensky, Dmitrii I. Kaplun, Alexander V. Veligosha, Igor A. Kalmykov

Publikováno v: IEEE Access, Vol 9, Pp 82402-82416 (2021)

The paper discusses adaptive filtering using Least Mean Square (LMS) and Recursive Least Square (RLS) algorithms. An algorithm for adjusting the coefficients of an adaptive digital filter in the Residue Number System and a procedure of developed algo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d86b408bc1e3fe0f2e9b92869617caf4
https://doi.org/10.1109/access.2021.3085704

Denoising Smooth Signals Using a Bayesian Approach: Application to Altimetry

Autor: Paul Honeine, Abderrahim Halimi, Stephen McLaughlin, Gerald S. Buller

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 10, Iss 4, Pp 1278-1289 (2017)
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2017, 10 (4), pp.1278-1289

This paper presents a novel Bayesian strategy for the estimation of smooth signals corrupted by Gaussian noise. The method assumes a smooth evolution of a succession of continuous signals that can have a numerical or an analytical expression with res

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76f8c4df48a15ac1df792ca88063f3f5
https://ieeexplore.ieee.org/document/7820100/

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.