Global ETD Search

MMSE estimation from quantized observations in the nonasymptotic regime

Lee, JaehoUniversity of Illinois at Urbana-Champaign2016

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 …

uiuc Repository record for MMSE estimation from quantized observations in the nonasymptotic regime (opens in a new tab)

K-distribution fading models for Bayesian estimation of an underwater acoustic channel

Laferriere, Alison BethMassachusetts Institute of Technology and Woods Hole Oceanographic Institution2011

Current underwater acoustic channel estimation techniques generally apply linear MMSE estimation. This approach is optimal in a mean square error sense under the assumption that the impulse response fluctuations are well characterized by Gaussian statistics, leading to a Rayleigh distributed …

woods-hole Repository record for K-distribution fading models for Bayesian estimation of an underwater acoustic channel (opens in a new tab)

K-distribution fading models for Bayesian estimation of an underwater acoustic channel

Laferriere, Alison BethMassachusetts Institute of Technology2011

Current underwater acoustic channel estimation techniques generally apply linear MMSE estimation. This approach is optimal in a mean square error sense under the assumption that the impulse response fluctuations are well characterized by Gaussian statistics, leading to a Rayleigh distributed …

mit Repository record for K-distribution fading models for Bayesian estimation of an underwater acoustic channel (opens in a new tab)

Analysis of Wireless Networks With Massive Connectivity

Guo, Mangqing

… on the joint activity detection and channel estimation in cell-free massive MIMO systems with massive connectivity. At first, we conduct an asymptotic analysis of single measurement vector (SMV) based minimum mean square error (MMSE) estimation in cell-free massive MIMO systems with massive …

syracuse-diss Repository record for Analysis of Wireless Networks With Massive Connectivity (opens in a new tab)

State Estimation with Unconventional and Networked Measurements

Duan, Zhansheng

… consists of two main parts. One is about state estimation with two types of unconventional measurements and the other is about two types of network-induced state estimation problems. The two types of unconventional measurements considered are noise-free measurements and set measurements. State …

uno Repository record for State Estimation with Unconventional and Networked Measurements (opens in a new tab)

Algorithms for (discrete) compressed sensing : a communications engineering perspective

Sparrer, SusanneUniversität Ulm

ulm-diss Repository record for Algorithms for (discrete) compressed sensing : a communications engineering perspective (opens in a new tab)