Hands-On DSP Education through Experiments

A new graduate from electrical engineering education must know about digital signal processing (DSP) to find a secure place in the competitive jobs market. Although this topic can be taught theoretically, its importance comes from practical applications. Therefore, students must be equipped with appropriate tools. Fortunately, DSP platforms serve this purpose. At Yeditepe University, we established a laboratory to guide students in real-time digital signal processing applications. We selected a Texas Instruments TMS320C6713 DSK platform for this purpose. In this study, we provide several laboratory applications on this platform. We also provide more advanced projects developed by our students which emerged from these applications. We observed that this laboratory improved the understanding of theoretical DSP concepts.

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Socially-Distant Hands-On Labs for a Real-time Digital Signal Processing Course

Proceedings of the 2021 on Great Lakes Symposium on VLSI ◽

10.1145/3453688.3461490 ◽

2021 ◽

Author(s):

Patrick Schaumont

Keyword(s):

Signal Processing ◽

Digital Signal Processing ◽

Real Time ◽

Digital Signal ◽

Hands On

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An Accelerator for Real-Time Digital Signal Processing with Microprocessors

International Journal of Electrical Engineering Education ◽

10.1177/002072098702400114 ◽

1987 ◽

Vol 24 (1) ◽

pp. 65-72

Author(s):

C. Ward

Keyword(s):

Signal Processing ◽

Digital Signal Processing ◽

Real Time ◽

Digital Signal ◽

Fir Filters ◽

Minimal Cost ◽

Hands On

An accelerator consisting of a fast digital multiplier and A/D and D/A converters is designed for the BBC microcomputer. The circuit enables ‘hands-on’ experience of digital signal processing to be provided at minimal cost. Examples of implementations of FIR filters and an autocorrelation algorithm are provided.

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EDUCATIONAL PLATFORM FOR REAL-TIME DIGITAL SIGNAL PROCESSING: PRACTICAL APPLICATIONS OF DIGITAL FILTERS

Revista de Ensino de Engenharia ◽

10.5935/2236-0158.20170004 ◽

2017 ◽

Vol 36 (1) ◽

Author(s):

Wesley Becari ◽

Rodrigo B. dos Santos ◽

André B. Carlos ◽

Rafael A. Biliatto ◽

Henrique E. M. Peres

Keyword(s):

Signal Processing ◽

Digital Signal Processing ◽

Real Time ◽

Digital Filters ◽

Digital Signal ◽

Practical Applications

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Real-time digital signal processing for live electro-optic imaging

Optics Express ◽

10.1364/oe.17.015641 ◽

2009 ◽

Vol 17 (18) ◽

pp. 15641 ◽

Cited By ~ 11

Author(s):

Kiyotaka Sasagawa ◽

Atsushi Kanno ◽

Masahiro Tsuchiya

Keyword(s):

Signal Processing ◽

Digital Signal Processing ◽

Real Time ◽

Digital Signal ◽

Electro Optic

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A real Time Digital Signal Processing Readout System for the PANDA STT

10.22323/1.212.0005 ◽

2014 ◽

Author(s):

Pawel Kulessa

Keyword(s):

Signal Processing ◽

Digital Signal Processing ◽

Real Time ◽

Digital Signal ◽

Readout System

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Rapid Prototyping of Fuzzy Logic Controllers

Volume 6: 16th Computers in Engineering Conference ◽

10.1115/96-detc/cie-1450 ◽

1996 ◽

Author(s):

Kevin J. Gorman ◽

Kourosh J. Rahnamai

Keyword(s):

Signal Processing ◽

Fuzzy Logic ◽

Digital Signal Processing ◽

Rapid Prototyping ◽

Real Time ◽

Digital Signal ◽

Fuzzy Logic Controllers ◽

Graphical Interfaces ◽

Logic Inference ◽

Logic Controllers

Abstract The rapid prototyping of fuzzy logic controllers is accomplished by using the tools Matlab, Simulink, Fuzzy Logic Toolkit, and Real-Time Workshop. Device drivers were developed for Simulink for interfacing with DT2801 and DT2821 data acquisition boards. The fuzzy logic inference engine for the Fuzzy Logic Toolkit was modified to allow the systems to work as independent programs and to be downloadable to DSP (Digital Signal Processing) boards. Simulink is used to graphically implement fuzzy logic controllers. The Real-Time Workshop is used to compile blocks from Simulink into C code, then into an independent executable program, both on the PC and a dSpace DSP (Digital Signal Processing) board. Graphical interfaces are created and debugged by using dSPACE’s tools, Cockpit and Trace. By combining these tools, real-time fuzzy logic controllers are developed in laboratory environments.

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