Digital Signal Processing Using the ARM Cortex M4

Digital Signal Processing Using the ARM Cortex M4

<p><b>Features inexpensive ARM® Cortex®-M4 microcontroller development systems available from Texas Instruments and STMicroelectronics.</b></p> <p>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.</p> <p><i>Digital Signal Processing Using the ARM® Cortex®-M4:</i></p> <ul> <li>Uses a large number of simple example programs illustrating DSP concepts in real-time, in an electrical engineering laboratory setting</li> <li>Includes examples for both STM32F407 Discovery and the TM4C123 Launchpad, using <i>Keil MDK-ARM</i>, on a companion website</li> <li>Example programs for the TM4C123 Launchpad using<i> Code Composer Studio version 6</i> available on companion website</li> </ul> <p><i>Digital Signal Processing Using the ARM® Cortex®-M4</i> 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.</p> <p><b>Donald Reay</b> 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 <i>Digital Signal Processing and Applications with the TMS320C6713 and TMS320C6416 DSK, Second Edition</i> (Wiley 2008) with Rulph Chassaing, and is the author of <i>Digital Signal Processing and Applications with the OMAP-L138 eXperimenter</i> (Wiley 2012).</p>