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Minimum description length (ECE 592 Module 6)
Integer programming (ECE 592 Module 24)
System Dynamics and Control: Module 7a - Battery Modeling
Divide and conquer (ECE 592 Module 13)
Wavelets (ECE 592 Module 42)
ECE 592 Project Presentation
Compressed sensing (ECE 592 Module 44)
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Last Updated: October 15, 2026
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Summary
Here we take a decoding perspective, and show that we can differentiate between ~sqrt(N) parameters. Combined with Wavelets are a multi scale tool for time frequency analysis, and provide sparse representations for piecewise smooth signals. The idea underlying sparse signal acquisition is that some signals can be sparsified. Recall that traditional digital signal ...