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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mohanty, B.K. Meher, P.K. |
| Copyright Year | 1991 |
| Abstract | In this paper, we present a throughput-scalable parallel and pipeline architecture for high-throughput computation of multilevel 3-D discrete wavelet transform (3-D DWT). The computation of 3-D DWT for each level of decomposition is split into three distinct stages, and all the three stages are implemented in parallel by a processing unit consisting of an array of processing modules. The processing unit for the first level decomposition of a video stream of frame-size (M × N) consists of Q/2 processing modules, where Q is the number of input samples available to the structure in each clock cycle. The processing unit for a higher level of decomposition requires 1/8 times the number of processing modules required by the processing unit for its preceding level. For J level 3-D DWT of a video stream, each of the proposed structures involves J processing units in a cascaded pipeline. The proposed structures have a small output latency, and can perform multilevel 3-D DWT computation with 100% hardware utilization efficiency. The throughput rate of proposed structures are Q/7 time higher than the best of the corresponding existing structures. Interestingly, the proposed structures involve a frame-buffer of O(MN) while the frame-buffer size of the existing structures is O(MNR) . Besides, the on-chip storage and the frame-buffer size of the proposed structure is independent of the input-block size and this favors to derive highly concurrent parallel architecture for high-throughput implementation. The overall area-delay products of proposed structure are significantly lower than the existing structures, although they involve slightly more multiplier-delay product and more adder-delay product, since it involves significantly less frame-buffer and storage-word-delay product. The throughput rate of the proposed structure can easily be scaled without increasing the on-chip storage and frame-memory by using more number of processing modules, and it provides greater advantage over the existing designs for higher frame-rates and higher input block-size. The full-parallel implementation of proposed scalable structure provides the best of its performance. When very high throughput generated by such parallel structure is not required, the structure could be operated by a slower clock, where speed could be traded for power by scaling down the operating voltage and/or the processing modules could be implemented by slower but hardware-efficient arithmetic circuits. |
| Sponsorship | IEEE Circuits and Systems Society |
| Starting Page | 1200 |
| Ending Page | 1209 |
| Page Count | 10 |
| File Size | 869390 |
| File Format | |
| ISSN | 10518215 |
| Volume Number | 20 |
| Issue Number | 9 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-09-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Pipelines Computer architecture Throughput Concurrent computing Discrete wavelet transforms Streaming media Clocks Delay Hardware Parallel architectures very large scale integration (VLSI) 3-D DWT discrete wavelet transform parallel and pipeline architecture |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Media Technology |
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