Advanced Digital System Design using SoC FPGAs

An Integrated Hardware/Software Approach
1. Auflage 2023
ISBN: 978-3-031-15415-7
Verlag: Springer Nature Switzerland

Buch, Englisch, 429 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 1048 g

This textbook teaches students techniques for the design of advanced digital systems using System-on-Chip (SoC) Field Programmable Gate Arrays (FPGAs).  The author demonstrates design of custom hardware components for the FPGA fabric using VHDL, with implementation of custom hardware-software interfaces. Readers gain hands-on experience by writing programs and Linux device drivers in C to interact with custom hardware.  This textbook enables laboratory experience in the design of custom digital systems using SoC FPGAs, emphasizing computational tasks such as digital signal processing, audio, or video processing.

Zielgruppe

Upper undergraduate

Autoren/Hrsg.

Snider, Ross K.

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Mathematik | Informatik EDV | Informatik Informatik Rechnerarchitektur
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Bauelemente, Schaltkreise
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik

Inhaltsverzeichnis

Introduction to SoC FPGAs.- Hello World.- Software Control of LEDs via Registers.- Audio Codec and headphone driver.- FIR Filtering.- Data Movements using Direct Memory Access (DMA).- Frequency Domain Processing using FFTs.- Time Domain Sound Effects Processors.- Frequency Domain Sound Effects Processor.- Hearing Aid.- Multiple Audio Personalities.

Über Autor(innen)

Ross Snider received his BSE degree in 1987 from Walla Walla College and his MSEE degree in 1990 from Michigan State University where for his Master's degree he implemented a speech recognition engine in C using Hidden Markov Models. During this time, the first Artificial Neural Network wave hit, but ANN's at the time couldn't perform any better than the HMM statistical models. Dr. Snider decided to spend time studying the real brain and got his PhD at Vanderbilt University in 1997 where he examined neural coding in the visual cortex. He then accepted a Post-Doctoral Fellowship at Johns Hopkins University where he looked at neural coding in the auditory cortex.  Dr. Snider currently teaches courses in Digital Signal Processing and Field Programmable Gate Arrays (FPGAs) at Montana State University - Bozeman.  His research activities take on a cross-disciplinary approach where he works on systems that are located at the intersection of computer engineering, signal processing, and biology.