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Performance Analysis of Fdct Algorithms

AUTHOR Sanyal Atri; Sinha Amitabha; Samaddar Swapan Kumar
PUBLISHER LAP Lambert Academic Publishing (11/20/2012)
PRODUCT TYPE Paperback (Paperback)

Description
The book identifies 4 popular FDCT algorithms. Next it is mapped in a cluster architecture.The cluster specific parallel algorithm is written. The algorithms are analyzed through a timing diagram and the cluster utilization and time units taken to implement the algorithm is calculated.Proposed algorithm parallel DCT is introduced and explained.It is also mapped in the cluster architecture, cluster specific algorithm is written, timing diagram is constructed, and cluster utilization and time units taken is calculated.It is shown thorough graphs and tables that cluster utilization is highest and time units taken is lowest in parallelDCT. It is concluded that, in order to minimize the number of multiplications in popular FDCT algorithms cluster utilization is ignored. Whereas parallelDCT contains more number of multiplications but the cluster utilization is more and time unit is less. Hence the simple approach of parallelDCT is more effective
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Product Details
ISBN-13: 9783659306303
ISBN-10: 3659306304
Binding: Paperback or Softback (Trade Paperback (Us))
Content Language: English
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Page Count: 108
Carton Quantity: 72
Product Dimensions: 6.00 x 0.26 x 9.00 inches
Weight: 0.37 pound(s)
Country of Origin: US
Subject Information
BISAC Categories
Computers | General
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publisher marketing
The book identifies 4 popular FDCT algorithms. Next it is mapped in a cluster architecture.The cluster specific parallel algorithm is written. The algorithms are analyzed through a timing diagram and the cluster utilization and time units taken to implement the algorithm is calculated.Proposed algorithm parallel DCT is introduced and explained.It is also mapped in the cluster architecture, cluster specific algorithm is written, timing diagram is constructed, and cluster utilization and time units taken is calculated.It is shown thorough graphs and tables that cluster utilization is highest and time units taken is lowest in parallelDCT. It is concluded that, in order to minimize the number of multiplications in popular FDCT algorithms cluster utilization is ignored. Whereas parallelDCT contains more number of multiplications but the cluster utilization is more and time unit is less. Hence the simple approach of parallelDCT is more effective
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Paperback