Scalar Compression Methods for Hypothesis Testing
![](https://wireless.engineering.nyu.edu/wp-content/uploads/2023/10/Scalar-Compression-Methods-for-Hypothesis-Testing.png)
NYU Wireless P.I.s
Research Overview
This project considers a simple binary hypothesis testing scenario where the resource-constrained transmitter performs scalar compression on data sampled from one of two distributions; the receiver performs a hypothesis test on multiple received samples to determine the correct source distribution.
To this end, the task-oriented compression problem is formulated as finding the optimal source coder that maximizes the asymptotic error performance of the hypothesis test on the server side under a rate constraint.
An analysis of how to design task-oriented compressors is provided, giving intuitions about how to extract the semantic information which is relevant to the hypothesis test.