Special Session: Spectral Methods and Multirate Signal Processing

Third International Symposium on Image and Signal Processing and Analysis

September 18-20, 2003, Rome, Italy

Aims and Scope

Spectral methods and multirate filtering are widely used in various applications of signal, image, and video processing. The objective of this special session is to bring together researchers to present new results in these areas. This special issue is connected with the special issue entitled "Transforms and Filter Banks" with the main exception that the design and implementation of digital signal processing algorithms for sampling rate conversion are also included.

Topics of interest include but are not limited to:

• Topics for the special issue entitled "Transforms and Filter Banks"
• Design and implementation of efficient digital decimators and interpolators.
• Sampling rate conversion between arbitrary sampling rates for 1-D and 2-D signals (image resizing)
• Multirate filtering in implementing of digital filters
• Multirate filtering and filter banks in communication, instrumentation, and biomedical applications
• Efficient VLSI implementations of transforms, filter banks, and multirate filtering (low power, small silicon area, and high sampling rate)
• Efficient signal processor implementations of transforms, filter banks, and multirate filtering (short code length and high sampling rate)
• Other relevant applications of spectral methods and multirate filtering

Author Instructions and Deadlines

Authors should submit a six page manuscript in double-column format, A4 page size, including authors' names, affiliations, and an abstract. All submissions should adhere to the ISPA author instructions. Papers should be submitted online using the ISPA electronic submission form. Please check the name of the special session under categories selection. Important: The paper should also be sent by e-mail to one of the special session organizers whose addresses are indicated below.

Session Organizers and Chairs

Dr. Tapio Saramäki and Dr. Karen Egiazarian, Tampere University of Technology, Finland

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