ECEn 487: Introduction to Discrete-Time Signal Processing Competencies
|Application of integral calculus, discrete math, and complex variables, and transform theory to discrete-time signal processing.
|Ability to apply principles of probablity theory for analysis and numerical estimation of power spectral densities.
|Ability to perform experiments with real-world signals and DSP systems, including discrete-time filters, spectrum analyzer, acoustic direction finding, etc.
|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.
|Ability to use software tools such as Matlab (R) to design, implement, and debug DSP functions.