Delta-operator based signal processing: Fast algorithms for rapidly sampled data

H. Vincent Poor

Delta-operator based signal processing: Fast algorithms for rapidly sampled data

H. Vincent Poor

Research output: Contribution to journal › Conference article › peer-review

Abstract

High sampling densities often lead to numerical ill-conditioning in statistical signal processing algorithms. Reformulation of signal or system dynamics via a delta, or divided-difference, dynamical operator can provide a framework within which the amelioration of such ill-conditioning can be treated on a formal and unified basis. A number of basic signal-processing problems have been studied in his context over the past decade, and these are reviewed here.

Original language	English (US)
Pages (from-to)	872-877
Number of pages	6
Journal	Proceedings of the IEEE Conference on Decision and Control
Volume	1
State	Published - 1997
Event	Proceedings of the 1997 36th IEEE Conference on Decision and Control. Part 1 (of 5) - San Diego, CA, USA Duration: Dec 10 1997 → Dec 12 1997

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Modeling and Simulation
Control and Optimization

Cite this

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title = "Delta-operator based signal processing: Fast algorithms for rapidly sampled data",

abstract = "High sampling densities often lead to numerical ill-conditioning in statistical signal processing algorithms. Reformulation of signal or system dynamics via a delta, or divided-difference, dynamical operator can provide a framework within which the amelioration of such ill-conditioning can be treated on a formal and unified basis. A number of basic signal-processing problems have been studied in his context over the past decade, and these are reviewed here.",

author = "Poor, \{H. Vincent\}",

year = "1997",

language = "English (US)",

volume = "1",

pages = "872--877",

journal = "Proceedings of the IEEE Conference on Decision and Control",

issn = "0191-2216",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Proceedings of the 1997 36th IEEE Conference on Decision and Control. Part 1 (of 5) ; Conference date: 10-12-1997 Through 12-12-1997",

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TY - JOUR

T1 - Delta-operator based signal processing

T2 - Proceedings of the 1997 36th IEEE Conference on Decision and Control. Part 1 (of 5)

AU - Poor, H. Vincent

PY - 1997

Y1 - 1997

N2 - High sampling densities often lead to numerical ill-conditioning in statistical signal processing algorithms. Reformulation of signal or system dynamics via a delta, or divided-difference, dynamical operator can provide a framework within which the amelioration of such ill-conditioning can be treated on a formal and unified basis. A number of basic signal-processing problems have been studied in his context over the past decade, and these are reviewed here.

AB - High sampling densities often lead to numerical ill-conditioning in statistical signal processing algorithms. Reformulation of signal or system dynamics via a delta, or divided-difference, dynamical operator can provide a framework within which the amelioration of such ill-conditioning can be treated on a formal and unified basis. A number of basic signal-processing problems have been studied in his context over the past decade, and these are reviewed here.

UR - https://www.scopus.com/pages/publications/0031388338

UR - https://www.scopus.com/pages/publications/0031388338#tab=citedBy

M3 - Conference article

AN - SCOPUS:0031388338

SN - 0191-2216

VL - 1

SP - 872

EP - 877

JO - Proceedings of the IEEE Conference on Decision and Control

JF - Proceedings of the IEEE Conference on Decision and Control

Y2 - 10 December 1997 through 12 December 1997

ER -

Delta-operator based signal processing: Fast algorithms for rapidly sampled data

Abstract

All Science Journal Classification (ASJC) codes

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