ECEn 487: Introduction to Discrete-Time Signal Processing Competencies

Competencies Outcome
Application of integral calculus, discrete math, and complex variables, and transform theory to discrete-time signal processing. Outcome 1
Ability to apply principles of probablity theory for analysis and numerical estimation of power spectral densities. Outcome 1
Ability to perform experiments with real-world signals and DSP systems, including discrete-time filters, spectrum analyzer, acoustic direction finding, etc. Outcome 2
Ability to use basic DSP functions and algorithms (i.e., FIR filters, IIR filters, polyphase systems, windows, FFTs, etc.) to formulate and solve engineering problems. Outcome 5
Ability to use software tools such as Matlab (R) to design, implement, and debug DSP functions. Outcome 11
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Brigham Young University - Provo | Fulton College of Engineering and Technology | The Church of Jesus Christ of Latter-Day Saints
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