Signal restoration with controlled piecewise monotonicity constraint

Autor:	Jian Lu
Rok vydání:	2002
Předmět:	Mathematical optimization Iterative method Piecewise Waveform Inversion (meteorology) Signal restoration Monotonic function Inverse problem Mathematics
Zdroj:	ICASSP
DOI:	10.1109/icassp.1998.681764
Popis:	A signal restoration problem can be formulated as a least-squares inversion subject to a constraint that the signal has no more than k piecewise monotonic segments. We refer to the associated constraint as controlled piecewise monotonicity or CPM. We show that this constraint alone is powerful enough to stabilize an ill-posed inversion and enables us to incorporate knowledge about the waveform geometry of the signal. This leads to a new algorithm for constrained signal restoration. We describe a highly efficient iterative scheme for computing the CPM constrained least-squares restoration. We also present experimental results and discuss issues related to the new algorithm.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e427572c118e36faffe7224399f06106 https://doi.org/10.1109/icassp.1998.681764 Zobrazit plný text záznamu