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Digital Signal Processing Using the ARM Cortex M4

By Donald S. Reay
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Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Digital Signal Processing Using the ARM Cortex M4 by Donald S. Reay offers a practical, hands-on introduction to digital signal processing (DSP) through real-time examples using the ARM Cortex-M4 microprocessor. The book features inexpensive development systems from Texas Instruments and STMicroelectronics, providing real-world applications with visible and audible results. Key DSP topics include analog-to-digital conversion, FIR and IIR filtering, Fourier transforms, and adaptive filtering. It also provides numerous simple example programs for platforms like the STM32F407 Discovery and TM4C123 Launchpad.
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Format: Paperback / softback
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

This book is ideal for university professors seeking lab-based teaching materials, as well as students and practising engineers who want to learn or enhance their understanding of DSP using affordable ARM Cortex-M4 hardware.

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Features inexpensive ARM(R) Cortex(R)-M4 microcontroller development systems available from Texas Instruments and STMicroelectronics. This book presents a hands-on approach to teaching Digital Signal Processing (DSP) with real-time examples using the ARM(R) Cortex(R)-M4 32-bit microprocessor.

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

Features inexpensive ARM® Cortex®-M4 microcontroller development systems available from Texas Instruments and STMicroelectronics.

This book presents a hands-on approach to teaching Digital Signal Processing (DSP) with real-time examples using the ARM® Cortex®-M4 32-bit microprocessor. Real-time examples using analogue input and output signals are provided, giving visible (using an oscilloscope) and audible (using a speaker or headphones) results. Signal generators and/or audio sources, e.g. iPods, can be used to provide experimental input signals. The text also covers the fundamental concepts of digital signal processing such as analogue-to-digital and digital-to-analogue conversion, FIR and IIR filtering, Fourier transforms, and adaptive filtering.

Digital Signal Processing Using the ARM® Cortex®-M4:

  • Uses a large number of simple example programmes illustrating DSP concepts in real-time, in an electrical engineering laboratory setting
  • Includes examples for both STM32F407 Discovery and the TM4C123 Launchpad, using Keil MDK-ARM, on a companion website
  • Example programmes for the TM4C123 Launchpad using Code Composer Studio version 6 available on a companion website

Digital Signal Processing Using the ARM® Cortex®-M4 serves as a teaching aid for university professors wishing to teach DSP using laboratory experiments, and for students or engineers wishing to study DSP using the inexpensive ARM® Cortex®-M4.

Book Details

INFORMATION

ISBN: 9781118859049

Publisher: John Wiley & Sons Inc

Format: Paperback / softback

Date Published: 30 October 2015

Country: United States

Imprint: John Wiley & Sons Inc

Audience: Professional and scholarly

DIMENSIONS

Spine width: 20.0mm

Width: 158.0mm

Height: 236.0mm

Weight: 463g

Pages: 320

Collections

Computing & Technology Donald S. Reay Education & Reference Engineering, Technology & Agriculture Non-Fiction

About the Author

DONALD S. REAY is lecturer in electrical engineering at Heriot-Watt University in Edinburgh, Scotland. He has also taught hands-on DSP, on a number of occasions, as a visiting lecturer at Zhejiang University in Hangzhou, China. He co-authored Digital Signal Processing and Applications with the TMS320C6713 and TMS320C6416 DSK, Second Edition (Wiley, 2008) with Rulph Chassaing, and is the author of Digital Signal Processing and Applications with the OMAP-L138 eXperimenter (Wiley, 2012).

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