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VLSI Architecture for Signal, Speech, and Image Processing, Hardcover by Nand...
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Item specifics
- Condition
- Book Title
- VLSI Architecture for Signal, Speech, and Image Processing
- ISBN
- 9781774637302
- Publication Year
- 2022
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Publication Name
- Vlsi Architecture for Signal, Speech, and Image Processing : Advances, Challenges, and Potential
- Item Length
- 9.2in
- Publisher
- Apple Academic Press, Incorporated
- Item Width
- 6.1in
- Number of Pages
- 320 Pages
About this product
Product Information
This new volume introduces various VLSI (very-large-scale integration) architecture for DSP filters, speech filters, and image filters, detailing their key applications and discussing different aspects and technologies used in VLSI design, models and architectures, and more. The volume explores the major challenges with the aim to develop real-time hardware architecture designs that are compact and accurate. Knowledge of VLSI is necessary for understanding today's contemporary hardware prospects of engineering. It is the process of creating an integrated circuit by combining millions of MOS transistors onto a single chip that is needed for handheld portable battery-operated devices that require efficient, errorless, and low-power arithmetic operation. VLSI plays a most important role in the performance of digital systems, digital signal processing (DSP), image processing applications, hardware security, quantum computing, etc. Especially in DSP systems, the algorithms of VLSI have a number of interesting characteristics that can be exploited in the design of the arithmetic circuits so that they can be implemented more efï¬ciently in terms of computation time, chip area, and power consumption. This volume, VLSI Architecture for Signal, Speech, and Image Processing , provides useful research in the field of computer arithmetic and can be applied for various arithmetic circuits, for their digital implementation schemes, and for performance considerations. It covers how computer arithmetic contributes to the era of quantum computing, hardware security, image processing, biomedical engineering, artificial intelligence, neural networks, and stochastic computing. Prepared by leading researchers in the field of computer arithmetic architecture, the state-of-the-art information presented here helps to provide a comprehensive understanding of VLSI for students, faculty, and researchers in computer science, computer engineering, and electrical and electronics engineering. It may be used as a textbook for courses on VLSI as well as a reference book.
Product Identifiers
Publisher
Apple Academic Press, Incorporated
ISBN-10
1774637308
ISBN-13
9781774637302
eBay Product ID (ePID)
23057287667
Product Key Features
Publication Name
Vlsi Architecture for Signal, Speech, and Image Processing : Advances, Challenges, and Potential
Format
Hardcover
Language
English
Publication Year
2022
Type
Textbook
Number of Pages
320 Pages
Dimensions
Item Length
9.2in
Item Width
6.1in
Additional Product Features
Lc Classification Number
Tk7874.75.V566 2023
Table of Content
1. Evolution of 1-D, 2-D, and 3-D Lifting Discrete Wavelet Transform VLSI Architecture 2. Execution of Lifting-Scheme Discrete Wavelet Transform by Canonical Signed Digit Multiplier 3. Radix-8 Booth Multiplier in Terms of Power and Area Efficient for Application in the Field of 2D DWT Architecture 4. Design and Performance Evaluation of Energy Efficient 8-Bit ALU at Ultra Low Supply Voltages Using FinFET with 20nm Technology 5. Design and Statistical Analysis of Strong Arbiter PUFs for Device Authentication and Identification 6. An Impact of Aging on Arbiter Physical Unclonable Functions 7. Advanced Power Management Methodology for SoCs Using UPF 8. Architecture Design: Network-on-Chip 9. Routing Strategy: Network-on-Chip Architectures 10. Self-Driven Clock Gating Technique for Dynamic Power Reduction of High-Speed Complex Systems 11. Optimization of SOC Sub-Circuits Using Mathematical Modeling 12. An Efficient Design of D Flip Flop in Quantum-Dot Cellular Automata (QCA) for Sequential Circuits 13. Design and Performance Analysis of Digitally Controlled DC-DC Converter
Target Audience
Trade
Topic
Engineering (General), Microprocessors, General
Lccn
2022-013602
Dewey Decimal
621.395
Dewey Edition
23
Genre
Computers, Technology & Engineering, Science
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