Conference proceeding
Discrete time processing of linear scale-invariant signals and systems
Proceedings of SPIE, v 4116(1)
13 Nov 2000
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
In this paper, we formulate a framework for discrete-time processing of Linear Scale Invariant (LSI) systems which are invariant to scale changes in time. Continuous-time LSI systems can be processed by Mellin and Modified Scale Transforms analogous to the use of the Laplace and Fourier Transforms in the continuous- time processing of LTI systems. In this work, we present the geometric sampling theorem to prevent aliasing in the scale domain. We also derive the perfect reconstruction filter in time domain, the discrete-time convolution sum, the Discrete Time Modified Scale Transform (DTMST) and the Discrete Modified Scale Transform (DMST) for geometrically sampled signals.
Metrics
Details
- Title
- Discrete time processing of linear scale-invariant signals and systems
- Creators
- Meltem Izzetoglu - Drexel UniversityBanu Onaral - Drexel UniversityPrabhakar R Chitrapu - Lockheed MartinNihat M Bilgutay - Drexel University
- Publication Details
- Proceedings of SPIE, v 4116(1)
- Conference
- Advanced Signal Processing Algorithms, Architectures, and Implementations X
- Publisher
- Society of Photo-Optical Instrumentation Engineers (SPIE)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000166853800011
- Scopus ID
- 2-s2.0-0034497529
- Other Identifier
- 991019168653704721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Electrical & Electronic