Implementation of a two-stage nonlinear digital filtering algorithm based on the minimum-variance method

Authors

Publication Details

Journal
Izvestiâ vysših učebnyh zavedenij Priborostroenie
Published
2024-08-05
DOI
https://doi.org/10.17586/0021-3454-2024-67-6-559-566
Primary Topic
Image and Signal Denoising Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Implementation of a two-stage nonlinear digital filtering algorithm based on the minimum-variance method

E. M. Sorokhtin, Oleg G. Morozov, M. M. Sorokhtin
Izvestiâ vysših učebnyh zavedenij Priborostroenie
Image and Signal Denoising Methods
article

Implementation of a two-stage nonlinear digital filtering algorithm based on the minimum-variance method

E. M. Sorokhtin, Oleg G. Morozov, M. M. Sorokhtin
article en

Abstract

No abstract available for this paper.
Izvestiâ vysših učebnyh zavedenij PriborostroenieVol. 67(7)
Openalex Percentile: Top 87%
Image and Signal Denoising Methods
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Implementation of a two-stage nonlinear digital filtering algorithm based on the minimum-variance method — E. M. Sorokhtin, Oleg G. Morozov, et al. · Izvestiâ vysših učebnyh zavedenij Priborostroenie (2024) | TGRS Research Map | TGRS