University of Minnesota Ph.D. dissertation.June 2017. Major: Electrical/Computer Engineering. Advisor: Jarvis Haupt. 1 computer file (PDF); xii, 140 pages.We are living in the era of data deluge wherein we are collecting unprecedented amount of data from variety of sources. Modern inference tasks are centered around exploiting structure and sparsity in the data to extract relevant information. This thesis takes an end-to-end system centric view of these inference tasks which mainly consist of two sub-parts (i) data acquisition and (ii) data processing. In context of the data acquisition part of the system, we address issues pertaining to noise, clutter (the unwanted extraneous signals which accompany the desired signal), quantization, and ...
In this thesis, we develop tractable relaxations and efficient algorithms for large-scale optimizati...
University of Minnesota Ph.D. dissertation. September 2019. Major: Electrical Engineering. Advisor: ...
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
University of Minnesota Ph.D. dissertation. May 2015. Major: Electrical/Computer Engineering. Adviso...
University of Minnesota Ph.D. dissertation.May 2018. Major: Computer Science. Advisor: Yousef Saad....
University of Minnesota Ph.D. dissertation. September 2017. Major: Electrical/Computer Engineering. ...
Nowadays, there is an increasing amount of digital information constantly generated from every aspec...
The object of this thesis is the study of constrained measurement systems of signals having low-dime...
The main focus of this doctoral thesis is to study the problem of robust and scalable data represent...
University of Minnesota Ph.D. dissertation. August 2012. Major: Electrical/Computer Engineering. Adv...
A central objective in signal processing is to infer meaningful information from a set of measuremen...
In recent years, signal processing has come under mounting pressure to accommodate the increasingly ...
University of Minnesota Ph.D. dissertation. April 2018. Major: Electrical Engineering. Advisor: Geor...
In this thesis, we study two methods that can be used to learn, infer, and unmix weak, structured si...
University of Minnesota Ph.D. dissertation. July 2018. Major: Electrical Engineering. Advisor: Jarvi...
In this thesis, we develop tractable relaxations and efficient algorithms for large-scale optimizati...
University of Minnesota Ph.D. dissertation. September 2019. Major: Electrical Engineering. Advisor: ...
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
University of Minnesota Ph.D. dissertation. May 2015. Major: Electrical/Computer Engineering. Adviso...
University of Minnesota Ph.D. dissertation.May 2018. Major: Computer Science. Advisor: Yousef Saad....
University of Minnesota Ph.D. dissertation. September 2017. Major: Electrical/Computer Engineering. ...
Nowadays, there is an increasing amount of digital information constantly generated from every aspec...
The object of this thesis is the study of constrained measurement systems of signals having low-dime...
The main focus of this doctoral thesis is to study the problem of robust and scalable data represent...
University of Minnesota Ph.D. dissertation. August 2012. Major: Electrical/Computer Engineering. Adv...
A central objective in signal processing is to infer meaningful information from a set of measuremen...
In recent years, signal processing has come under mounting pressure to accommodate the increasingly ...
University of Minnesota Ph.D. dissertation. April 2018. Major: Electrical Engineering. Advisor: Geor...
In this thesis, we study two methods that can be used to learn, infer, and unmix weak, structured si...
University of Minnesota Ph.D. dissertation. July 2018. Major: Electrical Engineering. Advisor: Jarvi...
In this thesis, we develop tractable relaxations and efficient algorithms for large-scale optimizati...
University of Minnesota Ph.D. dissertation. September 2019. Major: Electrical Engineering. Advisor: ...
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...