Course Learning Outcomes:

1. Understanding of wide sense stationary random processes including definition, input/output characterization for linear time-invariant systems (filtering) as well as in frequency domain application to quantizer design.
2. Understanding of minimum phase systems and minimum phase / all pass decompositions with application to inverse systems.
3. Understanding of minimum mean squared error optimum linear filtering principles.
4. Understanding of different methods of sampling, quantization, and reconstruction of baseband and bandpass signals including their design tradeoffs.
5. Understanding of digital filtering design principles of finite impulse response (FIR) filters including linear phase response, windowing, and transformations.
6. Understanding of multi-rate signal processing principles with application to computation reduction and parallel processing tradeoffs.