Zobrazeno 1 - 10
of 704
pro vyhledávání: '"sparse signals"'
Autor:
Didem Dogan, Geert Leus
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 421-435 (2024)
We consider the problem of recovering complex-valued block sparse signals with unknown borders. Such signals arise naturally in numerous applications. Several algorithms have been developed to solve the problem of unknown block partitions. In pattern
Externí odkaz:
https://doaj.org/article/6b6f1fe609354dd89235e75f4a97075b
Publikováno v:
Forests, Vol 15, Iss 7, p 1139 (2024)
Stress wave technology is very suitable for detecting internal defects of standing trees, logs, and wood and has gradually become the mainstream technology in this research field. Usually, 12 sensors are positioned equidistantly around the cross-sect
Externí odkaz:
https://doaj.org/article/8018288f368c49b6ac458d0917f78f70
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2022, Iss 1, Pp 1-13 (2022)
Abstract One-bit compressive sensing (CS) is an advanced version of sparse recovery in which the sparse signal of interest can be recovered from extremely quantized measurements. Namely, only the sign of each measure is available to us. The ground-tr
Externí odkaz:
https://doaj.org/article/71fe4d12816540338767eba5118b816f
Akademický článek
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Akademický článek
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Publikováno v:
Sensors, Vol 23, Iss 2, p 861 (2023)
Data acquisition systems have shown the need of wideband spectrum monitoring for many years. This paper describes and discusses a recently proposed architecture aimed at acquiring efficiently wideband signals, named the Analog-to-Information Converte
Externí odkaz:
https://doaj.org/article/55c7f9f2a4334720ad9da247a7de66db
Publikováno v:
Array, Vol 12, Iss , Pp 100076- (2021)
With the advent of the digital age, data storage continues to grow rapidly, especially with the development of internet data centers. The environmental impact of this technological revolution has become a problem. As the cost of digital recordings de
Externí odkaz:
https://doaj.org/article/89b7f6b8b1d44de095bbb0e0de482626
Akademický článek
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Autor:
Muhammed Salman, Gülden Eleyan
Publikováno v:
Pamukkale University Journal of Engineering Sciences, Vol 25, Iss 5, Pp 539-545 (2019)
In this paper, we propose a new two-dimensional (2D) zero-attracting least-mean-square (ZALMS) adaptive filter by imposing a sparsity aware l1-norm penalty term into the cost function of the 2D-LMS algorithm. Comparisons with 2D-LMS and BM3D algorith
Externí odkaz:
https://doaj.org/article/ccb1322401364ed2a18cf9dfcbc542ae
Autor:
Gülden ELEYAN, Muhammed SALMAN
Publikováno v:
Pamukkale University Journal of Engineering Sciences, Vol 25, Iss 5, Pp 539-545 (2019)
Bu yazıda, iki boyutlu en küçük kare algoritmasının (2D-LMS) maliyet fonksiyonuna seyrekliği farkeden l1-norm ceza terimi yükleyen yeni bir 2D sıfıra çeken en küçük ortalama kare (ZALMS) uyarlamalı filtreyi önermekteyiz. 2D-LMS ve BM3
Externí odkaz:
https://doaj.org/article/a10fd12a15a1418a8e2331133c82f770