Abstract
We compare Gabor representation and the Wigner distribution on their merits for the time-frequency description of signals.
Keywords
Affiliated Institutions
Related Publications
Matching pursuits with time-frequency dictionaries
The authors introduce an algorithm, called matching pursuit, that decomposes any signal into a linear expansion of waveforms that are selected from a redundant dictionary of fun...
Sparse Representation for Signal Classification
In this paper, application of sparse representation (factorization) of signals over an overcomplete basis (dictionary) for signal classification is discussed.Searching for the s...
Bargmann transform, Zak transform, and coherent states
It is well known that completeness properties of sets of coherent states associated with lattices in the phase plane can be proved by using the Bargmann representation or by usi...
Redundancy reduction with information-preserving nonlinear maps
AbstractThe basic idea of linear principal component analysis (PCA) involves decorrelating coordinates by an orthogonal linear transformation. In this paper we generalize this i...
An Introduction To Compressive Sampling
Conventional approaches to sampling signals or images follow Shannon's theorem: the sampling rate must be at least twice the maximum frequency present in the signal (Nyquist rat...
Publication Info
- Year
- 2005
- Type
- article
- Volume
- 9
- Pages
- 258-261
- Citations
- 22
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.1109/icassp.1984.1172739