Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/343287
Title: High Performance VLSI Architectures for Discrete Transformations
Researcher: Mohamed Asan Basiri, M
Guide(s): Noor Mahammad, Sk
Keywords: Computer Science
Computer Science Hardware and Architecture
Engineering and Technology
University: Indian Institute of Information Technology Design and Manufacturing Kancheepuram
Completed Date: 2016
Abstract: The real world applications of digital signal/image processing demand high performance VLSI circuits. This work uses an incremental design approach to achieve higher performance. The first part of this work optimizes the basic building blocks of digital signal processing in area, delay, and power. In the second part, these optimized building blocks are used to design the discrete transforms. The proposed basic building blocks by this work are high speed multiplexer - which is designed by the decomposed tree of smaller multiplexers with less delay, floating point multiply and accumulator (MAC) - eliminates the separate accumulator by combining the previous result as a partial product of the present multiplication, quarter precision n * n-bits multiplier/MAC - used to perform four n/2 * n/2 or two n * n/2 or one n * n-bits multiplication(s)/MAC(s) in parallel. In case of high performance discrete transformations, fast Fourier transform (FFT), discrete wavelet transform (DWT), and discrete orthogonal multi-transform on chip (DOMoC) are considered. The quarter precision multiplier/MAC is used to design the convolution based 1D/2D DWT. The proposed techniques used in the lifting based 1D/2D-DWT architectures are to perform the whole operation with single proposed processing element (PE) and multiple proposed PEs. The former case optimizes the hardware cost and later case optimizes the delay. The proposed floating point fused multiply-add is used to design the proposed PE for lifting based 1D/2D DWT. The proposed technique in 1D-FFT is to bring down the number of cycles and number of Butterfly units in the existing folded and parallel architecture respectively. The proposed N-point discrete orthogonal multi-transform on chip (DOMoC) is to perform multiple forward/reverse N, N/2, N/4, ...2-point discrete orthogonal transforms like FFT, sine, cosine, Haar, Hartly, Slant, Walsh, and Hadamard transforms. The proposed designs are newlinemodeled in Verilog HDL and synthesized using 45 nm TSMC library.
Pagination: 
URI: http://hdl.handle.net/10603/343287
Appears in Departments:Department of Computer Science & Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File118.55 kBAdobe PDFView/Open
02_certificate.pdf97.15 kBAdobe PDFView/Open
03_acknowledgement.pdf61.24 kBAdobe PDFView/Open
04_abstract.pdf110.87 kBAdobe PDFView/Open
05_contents.pdf82.96 kBAdobe PDFView/Open
06_list_of_tables.pdf138.18 kBAdobe PDFView/Open
07_list_of_figures.pdf155.47 kBAdobe PDFView/Open
08_abbreviations.pdf43.92 kBAdobe PDFView/Open
09_chapter1.pdf381.02 kBAdobe PDFView/Open
10_chapter2.pdf1.57 MBAdobe PDFView/Open
11_chapter3.pdf1.56 MBAdobe PDFView/Open
12_chapter4.pdf4.65 MBAdobe PDFView/Open
13_chapter5.pdf1.65 MBAdobe PDFView/Open
14_chapter6.pdf3.53 MBAdobe PDFView/Open
15_chapter7.pdf114.24 kBAdobe PDFView/Open
16_references.pdf161.44 kBAdobe PDFView/Open
17_list_of_papers.pdf90.12 kBAdobe PDFView/Open
18_curriculum_vitae.pdf44.42 kBAdobe PDFView/Open
80_recommendation.pdf212.51 kBAdobe PDFView/Open
Show full item record


Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Altmetric Badge: