Title :
The SIVA Demonstration Gallery for signal, image, and video processing education
Author :
Rajashekar, Umesh ; Panayi, George C. ; Baumgartner, Frank P. ; Bovik, Alan C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
fDate :
11/1/2002 12:00:00 AM
Abstract :
The techniques of digital signal processing (DSP) and digital image processing (DIP) have found a myriad of applications in diverse fields of scientific, commercial, and technical endeavor. DSP and DIP education needs to cater to a wide spectrum of people from different educational backgrounds. This paper describes tools and techniques that facilitate a gentle introduction to fascinating concepts in signal and image processing. Novel LabVIEW- and MATLAB-based demonstrations are presented, which, when supplemented with Web-based class lectures, help to illustrate the power and beauty of signal and image-processing algorithms. Equipped with informative visualizations and a user-friendly interface, these modules are currently being used effectively in a classroom environment for teaching DSP and DIP at the University of Texas at Austin (UT-Austin). Most demonstrations use audio and image signals to give students a flavor of real-world applications of signal and image processing. This paper is also intended to provide a library of more than 50 visualization modules that accentuate the intuitive aspects of DSP algorithms as a free didactic tool to the broad signal and image-processing community.
Keywords :
computer science education; educational courses; electrical engineering education; image processing; signal processing; teaching; SIVA; Signal, Image, and Video Audiovisualization Demonstration Gallery; USA; Web-based class lectures; digital image processing; digital signal processing; image processing education; teaching; user-friendly interface; video processing education; Computer languages; Digital images; Digital signal processing; Education; Electronics packaging; Image processing; Libraries; Signal processing; Signal processing algorithms; Visualization;
Journal_Title :
Education, IEEE Transactions on
DOI :
10.1109/TE.2002.804392