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Signal Processing: Continuous and Discrete, Fall 2008

(Complete Item Description)

Abstract:: Subject provides a solid theoretical foundation for the analysis and processing of experimental data, and real-time experimental control methods. Includes spectral analysis, filter design, system identification, simulation in continuous and discrete-time domains. Emphasis on practical problems with laboratory exercises. Subject is designated as a d'Arbeloff Laboratory "gateway" subject.

Subject:: Science and Technology
Grade Level:: Post-secondary
Collection:: MIT OpenCourseWare

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Top Keywords

Analysis and Processing of Experimental Data Butterworth Chebyshev Convolution Correlation Function Fast Fourier Transform Filter Design Frequency Response Laplace Transform Low-Pass MATLAB Op-Amps Poles Real-Time Experimental Control Methods Sampling Simulation in Continuous and Discrete-Time Domains Spectral Analysis System Identification Windowing Zeros

Conditions of Use

No Strings Attached
Remix and Share
Share Only
Read the Fine Print

No restrictions on your remixing, redistributing, or making derivative works. Give credit to the author, as required.

Your remixing, redistributing, or making derivatives works comes with some restrictions, including how it is shared.

Your redistributing comes with some restrictions. Do not remix or make derivative works.

Copyrighted materials, available under Fair Use and the TEACH Act for US-based educators, or other custom arrangements. Go to the resource provider to see their individual restrictions.

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