Multilook Coherent Imaging: Theoretical Guarantees and Algorithms
The episode discusses a paper titled "Multilook Coherent Imaging: Theoretical Guarantees and Algorithms," which addresses signal magnitude estimation despite speckle noise. The hosts review the theoretical framework, including error bounds, and detail practical improvements like using Bagged-DIP to prevent overfitting and the Newton-Schulz algorithm to manage computational complexity.