ENGR 301 - Signal Processing and Applications

Institution:

Trinity College

Subject:

Description:

This course presents digital signal processing (DSP) fundamentals and their practical applications through laboratory assignments. Topics include signal representations in continuous-time and discrete-time domains, discrete-time linear systems and their properties, the Fourier transform and fast Fourier transform (FFT) algorithm, the Z-transform, and digital filter design. This course includes laboratory experiments designed to reinforce DSP theory and to expose students to modern digital signal processing techniques, e.g., creating special audio effects, power spectrum estimation, encoding and decoding touch-tone signals, synthesizing musical instruments, frequency selective filtering, and image processing. Students gain a solid theoretical background in DSP and master hands-on applications using modern development tools. Prerequisite: Math 231 and Engineering 212L. 1.25 units, Lecture

Credits:

25.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.Trincoll.edu

Phone Number:

(860) 297-2000

Regional Accreditation:

New England Association of Schools and Colleges

Calendar System:

Semester

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