DocumentCode :
178274
Title :
Hands-on real-time DSP teaching using inexpensive arm cortex M4 development systems
Author :
Reay, Donald S.
Author_Institution :
Sch. of Eng. & Phys. Sci., Heriot-Watt Univ., Edinburgh, UK
fYear :
2014
fDate :
4-9 May 2014
Firstpage :
2224
Lastpage :
2227
Abstract :
Hands-on, real-time digital signal processing (DSP) program examples from the textbook Digital Signal Processing and Applications with the OMAP-L138 eXperimenter [1] have been ported to a number of different, inexpensive ARM Cortex M4 microcontroller-based evaluation modules (EVMs). The ARM Cortex M4 is a DSP-enhanced microcontroller with floating point unit (FPU) that is capable of running these real-time examples. EVMs using this microcontroller are an order of magnitude less expensive than more conventional DSP EVMs (including the OMAP-L138 eXperimenter.) ARM Cortex M4 EVMs including the STMicro STM32F4 Discovery, Texas Instruments Tiva Launchpad, and Freescale FRDM-K20D50M represent a quantum change in the cost of hardware suitable for hands-on, real-time DSP teaching. However, these EVMs do not include audio codecs, necessitating the development of additional hardware. Prototype audio codec daughter cards for three different EVMs have been demonstrated successfully.
Keywords :
digital signal processing chips; engineering education; microcontrollers; real-time systems; ARM Cortex M4 microcontroller-based evaluation modules; DSP-enhanced microcontroller; EVM; FPU; Freescale FRDM-K20D50M; OMAP-L138 eXperimenter; STMicro STM32F4 Discovery; Texas Instruments Tiva Launchpad; audio codec daughter cards; engineering education; floating point unit; real-time DSP teaching; real-time digital signal processing program; Codecs; Digital signal processing; Educational institutions; Hardware; Microcontrollers; Real-time systems; digital signal processing; engineering education;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
Type :
conf
DOI :
10.1109/ICASSP.2014.6853994
Filename :
6853994
Link To Document :
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