Digital Signal Processing Using the ARM Cortex M4

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.

Keywords: arm cortex-m4, digital signal processing (dsp), analog-to-digital conversion, digital-to-analog conversion, finite impulse response (fir) filtering, infinite impulse response (iir) filtering, fourier transforms, adaptive filtering