Neuware - 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. Real-time examples using analog 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 analog-to-digital and digital-to-analog conversion, FIR and IIR filtering, Fourier transforms, and adaptive filtering.Digital Signal Processing Using the ARM(r) Cortex(r)-M4:\* Uses a large number of simple example programs 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 programs for the TM4C123 Launchpad using Code Composer Studio version 6 available on companion websiteDigital Signal Processing Using the ARM(r) Cortex(r)-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(r) Cortex(r)-M4.Donald Reay is a 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).

Bestandsnummer des Verk�ufers 9781118859049

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Bibliografische Details

Titel: Digital Signal Processing Using the Arm Cortex M4
Verlag: Wiley Okt 2015
Erscheinungsjahr: 2015
Sprache: Englisch
ISBN-10: 1118859049
ISBN-13: 9781118859049
Einband: Taschenbuch
Zustand: Neu

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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 analog 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 analog-to-digital and digital-to-analog 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 programs 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 programs for the TM4C123 Launchpad using Code Composer Studio version 6 available on 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.

�ber die Autorin bzw. den Autor

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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