Authors:
Andre Guntoro
;
Hans-Peter Keil
and
Manfred Glesner
Affiliation:
Institute of Microelectronic Systems, Technische Universität Darmstadt, Germany
Keyword(s):
DSP, Wavelets, Wavelet Transforms, Wavelet Packets, Wavelet Processor.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Audio and Speech Processing
;
Digital Signal Processing
;
Image and Video Processing, Compression and Segmentation
;
Multidimensional Signal Processing
;
Multimedia
;
Multimedia Signal Processing
;
Pattern Recognition
;
Software Engineering
;
Telecommunications
;
Universal Multimedia Adaptation
Abstract:
The richness of wavelet transformation has been known in many fields. There exist different classes of wavelet filters that can be used depending on the application. In this paper, we propose a general purpose lifting-based wavelet processor that can perform various forward and inverse DWTs. Our architecture is based on NxM PEs which can perform either prediction or update on a continuous data stream in every clock cycle. We also consider the normalization step which takes place at the end of the forward DWT or at the beginning of the inverse DWT. To cope with different wavelet filters, we feature a multi-context configuration to select among various DWTs. For the 16-bit implementation, the estimated area of the proposed wavelet processor with 2x8 PEs configuration in a 0.18-µm technology is 1.8 mm square and the estimated frequency is 355 MHz.