Advanced Digital Signal Processing
(3-0-0-3)
CMPE Degree: This course is Not Applicable for the CMPE degree.
EE Degree: This course is Not Applicable for the EE degree.
Lab Hours: 0 supervised lab hours and 0 unsupervised lab hours.
Technical Interest Group(s) / Course Type(s): Digital Signal Processing
Course Coordinator:
Prerequisites: ECE 4270
Catalog Description
An introduction to advanced signal processing methods that areused in a variety of application areas.
Course Outcomes
Not Applicable
Strategic Performance Indicators (SPIs)
Not Applicable
Topical Outline
Basic Signals and Systems
Review of 1-D signals
Review of random signals
Multi-D signals
Multirate Signal Processing
Interpolation and Decimation
Sample Rate Conversion
Oversampled Processing (A/D and D/A conversion)
Time-Frequency Representations
Filterbanks/Wavelets
Short-Time Fourier Transform
Wigner-Ville Decomposition
1-D and 2-D Transforms (DCT, DST, KLT)
Linear Prediction
Autoregressive Modelling and Least Squares
Modelling Random Signals
Prony's Method
Inverse Problems (Signal Reconstruction)
Underdetermined Least Squares
Pseudo-Inverse (SVD)
Min-Norm Solutions
Regularized Methods
Reconstruction from Projections
Iterative Methods
Projection onto Convex Sets
Expectation-Maximization
Simulated Annealing
Reconstruction from Nonuniform Sampling
1-D and Multi-D Sampling
Random Sampling
Optimal Quantization
Lloyd-Max Quantizers
Vector Quantization