Aug 12, 2008 · The achievement of pattern recognition is most likely to benefit from some new developments of theoretical mathematics including wavelet ...

Wavelet theory is a powerful tool with rich mathematical contents and great applications. It can be employed in lots of fields and applications, ...

The book consists of three parts — the first presents a brief survey of the status of pattern recognition with wavelet theory; the second contains the basic ...

The aim of the study is to explore the regional variation of changing patterns of rainfall in Bangladesh using wavelet transform.

Based on wavelet transform, a new time series similarity metric is introduced, which is capable to detect a pre-defined pattern in time series data. In addition ...

Bibliographic details on Status of pattern recognition with wavelet analysis.

Nov 21, 2024 · Wavelet transform is a powerful tool to analyze different signals. A wavelet is a waveform of effectively limited duration that has an average ...

... status of pattern recognition with wavelet theory; the second contains the basic theory of wavelet analysis; the third includes applications of wavelet theory ...

This 2nd edition is an update of the book "Wavelet Theory and Its Application to Pattern Recognition" published in 2000. Three new chapters, which are ...

This paper addresses a novel hybrid approach to tackle the concurrent pattern recognition problem by incorporating SVM and Haar wavelet transform.