DocumentCode :
2707540
Title :
Reinforcing the understanding of signal processing concepts using audio exercises
Author :
Pierre, J.W. ; Kubichek, R.F. ; Hamann, J.C.
Author_Institution :
Dept. of Electr. Eng., Wyoming Univ., Laramie, WY, USA
Volume :
6
fYear :
1999
fDate :
15-19 Mar 1999
Firstpage :
3577
Abstract :
In the near future, multimedia techniques will be used more extensively in signal processing education because the technology is available and the benefits to student learning and information retention are high. Using a variety of teaching techniques helps a wider range of students, who have different learning styles, and enhances student skills in their weaker areas. This paper describes a number of audio signal processing homework exercises used to reinforce concepts of signal processing. These exercises include some fundamental concepts of DSP (quantization, aliasing, Fourier analysis, and filtering) and more advanced areas (sampling rate conversion, LCMV filtering, and adaptive filtering). All these exercises use the signal processing and audio capabilities of MATLAB. A Web page for these homework exercises is being developed
Keywords :
adaptive filters; audio signal processing; education; educational computing; electrical engineering education; teaching; DSP; Fourier analysis; LCMV filtering; adaptive filtering; aliasing; audio signal processing homework exercises; electrical engineering education; learning styles; multimedia techniques; quantization; sampling rate conversion; signal processing concepts; signal processing education; student information retention; student learning; teaching techniques; Adaptive filters; Adaptive signal processing; Digital signal processing; Education; Educational technology; Filtering; Multimedia systems; Quantization; Signal processing; Signal sampling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
ISSN :
1520-6149
Print_ISBN :
0-7803-5041-3
Type :
conf
DOI :
10.1109/ICASSP.1999.757616
Filename :
757616
Link To Document :
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