About Event: The mathematical operation of transforms requires a function or a sequence to map or relate an event. It enables to extract hidden information, provide data compression / reduction in addition to shaping the signal entity. It enhances the scope for feature extraction in large volume of data and reconstructs an ill-behaved series into well-behaved series.
- Introduction to Various Transforms Techniques
- Discrete Cosine and Fourier Transforms
- Discrete Wavelet Transform
- Discrete Curvelet Transform (FDCT)
- Hilbert and S-Transforms
- Intelligent Applications to Transform Techniques
- Faculty Industrial and Research Scholar Rs.1250/- additional ISTE processing fee of Rs.150/-
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Contact:
Dr.S.ANBAZHAGAN
Co-ordinator (ASDA 2015)
Department of Electrical Engineering
Annamalai University, Annamalai Nagar – 608002
Email: semiconfwork@gmx.com
Mobile: 9486124520