Work

Pattern Recognition in Time-Frequency Domain: Selective Regional Correlation and Its Applications

Year: 2008

Type: book-chapter

Abstract: In this chapter, a recently developed technique for pattern classification based on timefrequency decomposition is presented. The essence of the scheme is that the correlation between the observed signal and the template is conducted only in selected regions of interest in the time-frequency domain. The results of two applications have indicated conclusively that the proposed technique provides a consistent improvement over the traditional correlation-based pattern classification schemes.

Source: InTech eBooks

DOI: 10.5772/6261

Authors: Ervin Sejdic, Jin Jiang

Institutions: University of Toronto, Bloorview Research Institute, Western University

Language: English

Topic: Mathematical Analysis and Transform Methods

Subfield: Applied Mathematics

Field: Mathematics

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W1549164720

FWCI: 1.3

Cites: 18

Cited by: 6

Related to: 10