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Description
Title: | MMSE estimation from quantized observations in the nonasymptotic regime |
Author(s): | Lee, Jaeho |
Advisor(s): | Raginsky, Maxim |
Department / Program: | Electrical & Computer Engineering |
Discipline: | Electrical & Computer Engineering |
Degree Granting Institution: | University of Illinois at Urbana-Champaign |
Degree: | M.S. |
Genre: | Thesis |
Subject(s): | functional quantization
nonasymptotic bounds |
Abstract: | This thesis studies MMSE estimation on the basis of quantized noisy observations. It presents nonasymptotic bounds on MMSE regret due to quantization for two settings: (1) estimation of a scalar random variable given a quantized vector of n conditionally independent observations, and (2) estimation of a p-dimensional random vector given a quantized vector of n observations (not necessarily independent) when the full MMSE estimator has a sub-Gaussian concentration property. |
Issue Date: | 2015-12-04 |
Type: | Text |
URI: | http://hdl.handle.net/2142/89048 |
Rights Information: | Copyright 2015 Jaeho Lee |
Date Available in IDEALS: | 2016-03-02 |
Date Deposited: | 2015-12 |
This item appears in the following Collection(s)
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Dissertations and Theses - Electrical and Computer Engineering
Dissertations and Theses in Electrical and Computer Engineering -
Graduate Dissertations and Theses at Illinois
Graduate Theses and Dissertations at Illinois