High Throughput DA-Based DCT With High Accuracy Error-Compensated Adder Tree

ABSTRACTS:

Discrete cosine rework (DCT) may be a widely used tool in image and video compression applications. Recently, the high-throughput DCT styles are adopted to fit the necessities of real-time application.

Operating the shifting and addition in parallel, a mistake-compensated adder-tree (ECAT) is proposed to deal with the truncation errors and to attain low-error and high-throughput discrete cosine rework (DCT) design. Rather than the 12 bits employed in previous works, 9-bit distributed arithmetic. DA-based DCT core with miscalculation-compensated adder-tree (ECAT). The proposed ECAT operates shifting and addition in parallel by unrolling all the words required to be computed. Furthermore, the error-compensated circuit alleviates the truncation error for top accuracy design. Primarily based on low-error ECAT, the DA-precision during this work is chosen to be 9 bits rather than the traditional 12 bits. Therefore, the hardware value is reduced, and the speed is improved using the proposed ECAT.

Advantages:

• Hardware cost is reduced.
• Speed is improved.

Applications:

• Image Compression.
• Video Compression

Language:

• Verilog HDL.

Tools:

• Simulation-  ModelSim XE III 6.4b.
• Synthesis   - XiLinx ISE 10.1.

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