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Benakop, Prabhu. G.
- Reduction of power dissipation in sequential circuits
Abstract Views :570 |
PDF Views:83
Authors
Affiliations
1 G.M.R. Institute of Technology, Rajam-532127, Andhra Pradesh, IN
2 Aurora Engineering College, Bhongir-508116 Andhra Pradesh, IN
1 G.M.R. Institute of Technology, Rajam-532127, Andhra Pradesh, IN
2 Aurora Engineering College, Bhongir-508116 Andhra Pradesh, IN
Source
Indian Journal of Science and Technology, Vol 1, No 3 (2008), Pagination: 1-4Abstract
In this paper, an attempt is made to reduce the power consumption of a synchronous digital system by minimizing the total power consumed by the clock signals. This paper presents a state assignment technique called priority encoding which uses multi-code assignment plus clock gating to reduce power dissipation in sequential circuits. The basic idea is to assign multiple codes to states so as to enable more effective clock gating in the sequential circuit. Experimental results demonstrate that the priority encoding technique can result in sizable power saving.Keywords
Priority Encoding, Multi Code State Assignment, Clock GatingReferences
- Benini L and Micheli GD (1995) State assignment for low power dissipation. IEEE J. Solid State Circuits. 30(3), 258-268.
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- Wu X, Wei J and Pedram M (2000) Lowpower design of sequential circuits using a quasi-synchronous derived clock. In: Proc. of ASP-DAC, Pacifico Yokohama.
- Analysis of Segmentation of Femur by Filtering Techniques
Abstract Views :410 |
PDF Views:78
Authors
Affiliations
1 G.M.R. Institute of Technology, RAJAM-532127
2 Aurora Engineering College, Bhongir, Hyderabad -508116, IN
1 G.M.R. Institute of Technology, RAJAM-532127
2 Aurora Engineering College, Bhongir, Hyderabad -508116, IN
Source
Indian Journal of Science and Technology, Vol 1, No 4 (2008), Pagination: 1-5Abstract
A new method of approach is proposed on the segmentation based on boundary tracing edge detection type algorithm and was demonstrated on the task of detecting the femur in sagittal T1 weighted magnetic resonance images of the knee. Three filters were used to analyze the femur images and the results were compared.References
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