Rachel E. Learned
Massachusetts Institute of Technology
26 Papers
297 Citations
Rachel E. Learned is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Multiuser detection & Computational complexity theory. The author has an hindex of 9, co-authored 26 publications.
Chat about Author
Papers
A Wavelet Packet Approach to Transient Signal Classification
TL;DR: A non-parametric wavelet packet feature extraction procedure which identifies features to be used for the classification of transient signals for which explicit signal models are not available or appropriate and the promise of the method is illustrated by performing the procedure on a set of biologically generated underwater acoustic signals.
179
Patent
Co-channel interference receiver
Matthew A. Taylor,Robert B Macleod,Rachel E. Learned,Joshua D. Niedzwiecki,Karl D. Brommer,Thomas P. McElwain +5 more
- 25 Apr 2003
TL;DR: In this article, the authors proposed a digital receiver that automatically detects and non-coherently demodulates a multiplicity of interfering digitally modulated signals transmitted simultaneously at approximately the same carrier frequency.
106
Wavelet-packet-based multiple access communication
Rachel E. Learned,A. Hamid Krim,Bernhard E. H. Claus,Alan S. Willsky,William Clement Karl +4 more
- 11 Oct 1994
TL;DR: The preliminary analysis and simulation results indicate the potential for a marked computational improvement over the optimal detector and additional flexibility and efficiency over other proposed joint detection schemes for multiple access communication.
48
Wavelet packet based transient signal classification
Rachel E. Learned,William Clement Karl,Alan S. Willsky +2 more
- 04 Oct 1992
TL;DR: The authors summarize efforts which examine the feasibility of applying the wavelet packet transform to automatic transient signal classification through the development of a classification algorithm for biologically generated underwater acoustic signals in ocean noise.
41
Performance bounds on cooperative radar and communication systems operation
Christ D. Richmond,Prabahan Basu,Rachel E. Learned,James E. Vian,Andrew P. Worthen,Michael D. Lockard +5 more
- 02 May 2016
TL;DR: A theoretical framework that embraces the competing objectives of cooperative radar-communication operations is proposed that engages the apparent trade-space in an optimal fashion and minimization of a cooperative risk metric that extends the Neyman-Pearson criterion to include communication data rate is explored.
29