TY - GEN
T1 - The role of graphical programming languages in teaching DSP
AU - Amir, Noam
N1 - Publisher Copyright:
© 2000 IEEE.
PY - 2000
Y1 - 2000
N2 - Graphical programming languages such as Simulink, Hypersignal and others have been coming into use recently for rapid prototyping of DSP algorithms. Using such languages amounts to dragging functional blocks from libraries and connecting them to form a block diagram, which is also a program. Beyond their value to application development, these programming languages are also very useful as classroom teaching AIDS. In this paper we present a number of useful demonstrations in Simulink. Each of them demonstrates interesting aspects of DSP, and are useful for classroom demonstrations and as a basis for further experimentation by the students. Using them can enhance the students grasp of complicated subjects in DSP, and increase their interest in the subject matter. The major advantages of using Simulink for this purpose is that constructing them requires a relatively small investment of time on the part of the instructor, and that they can easily be extended and experimented on by the students.
AB - Graphical programming languages such as Simulink, Hypersignal and others have been coming into use recently for rapid prototyping of DSP algorithms. Using such languages amounts to dragging functional blocks from libraries and connecting them to form a block diagram, which is also a program. Beyond their value to application development, these programming languages are also very useful as classroom teaching AIDS. In this paper we present a number of useful demonstrations in Simulink. Each of them demonstrates interesting aspects of DSP, and are useful for classroom demonstrations and as a basis for further experimentation by the students. Using them can enhance the students grasp of complicated subjects in DSP, and increase their interest in the subject matter. The major advantages of using Simulink for this purpose is that constructing them requires a relatively small investment of time on the part of the instructor, and that they can easily be extended and experimented on by the students.
UR - http://www.scopus.com/inward/record.url?scp=0033694642&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2000.860159
DO - 10.1109/ICASSP.2000.860159
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AN - SCOPUS:0033694642
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 3514
EP - 3517
BT - Design and Implementation of Signal Processing SystemNeural Networks for Signal Processing Signal Processing EducationOther Emerging Applications of Signal ProcessingSpecial Sessions
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000
Y2 - 5 June 2000 through 9 June 2000
ER -