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Brown D. Richard, III
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Résultats de recherche
DIGITALLY ASSISTED TECHNIQUES FOR NYQUIST RATE ANALOG-to-DIGITAL CONVERTERS
Mot-clé:
Analog to Digital Converter ADC SAR Flash Frequenc
Créateur:
Majidi, Rabeeh
Advisor:
McNeill, John A.
Éditeur:
Worcester Polytechnic Institute
date créée:
2015-05-05
Resource Type:
Dissertation
Degree:
PhD
Unit (Department):
Electrical & Computer Engineering
Extension on Adaptive MAC Protocol for Space Communications
Mot-clé:
Deep Reinforcement Learning
,
Machine Learning
,
DVB-S2
,
Catastrophic Forgetting
,
NASA
, and
Space Communications
Créateur:
Li, Max Hongming
Advisor:
Wyglinski, Alexander
Éditeur:
Worcester Polytechnic Institute
date créée:
2018-12-18
Resource Type:
Thesis
Degree:
MS
Unit (Department):
Electrical & Computer Engineering
Training Data Generation Framework For Machine-Learning Based Classifiers
Mot-clé:
Classification
,
unsupervised domain adaptation
,
deep neural networks
,
Channel modeling
, and
Machine Learning
Créateur:
McClintick, Kyle W
Advisor:
Wyglinski, Alexander
Éditeur:
Worcester Polytechnic Institute
date créée:
2018-12-18
Resource Type:
Thesis
Degree:
MS
Unit (Department):
Electrical & Computer Engineering
Cooperative Channel State Information Dissemination Schemes in Wireless Ad-hoc Networks
Mot-clé:
channel state information
,
Hamiltonian decomposition
,
MLST
, and
dominating set
Créateur:
He, Wenmin
Advisor:
Klein, Andrew G.
Éditeur:
Worcester Polytechnic Institute
date créée:
2013-05-12
Resource Type:
Thesis
Degree:
MS
Unit (Department):
Electrical & Computer Engineering
Change-points Estimation in Statistical Inference and Machine Learning Problems
Mot-clé:
Distributed learning
,
Machine Learning
, and
change-points
Créateur:
Zhang, Bingwen
Advisor:
Lai, Lifeng
Éditeur:
Worcester Polytechnic Institute
date créée:
2017-08-14
Resource Type:
Dissertation
Degree:
PhD
Unit (Department):
Electrical & Computer Engineering
Studies of the relationship between the surface electromyogram, joint torque and impedance
Mot-clé:
biomedical signal analysis
,
motor units
,
Electromyogram
,
joint impedance
,
decomposition
,
EMG to torque
, and
EMG
Créateur:
Dai, Chenyun
Advisor:
Clancy, Edward A.
Éditeur:
Worcester Polytechnic Institute
date créée:
2016-12-20
Resource Type:
Dissertation
Degree:
PhD
Unit (Department):
Electrical & Computer Engineering
Digital Pre-distortion for Interference Reduction in Dynamic Spectrum Access Networks
Mot-clé:
TV ’white space’
,
spectrally agile multicarrier transmission
,
digital predistortion (DPD)
,
dynamic spectrum access (DSA)
,
spurious emission
,
Cognitive radio (CR)
,
carrier aggregation
,
IEEE 802.22
,
software-defined radio (SDR)
, and
LTE-Advanced
Créateur:
Fu, Zhu
Advisor:
Wyglinski, Alexander
Éditeur:
Worcester Polytechnic Institute
date créée:
2014-04-23
Resource Type:
Dissertation
Degree:
PhD
Unit (Department):
Electrical & Computer Engineering
Quickest Change-Point Detection with Sampling Right Constraints
Mot-clé:
Sequential Analysis
,
Quikckest Detection
, and
Samping Right Constraint
Créateur:
Geng, Jun
Advisor:
Lai, Lifeng
Éditeur:
Worcester Polytechnic Institute
date créée:
2015-01-03
Resource Type:
Dissertation
Degree:
PhD
Unit (Department):
Electrical & Computer Engineering
Detection of Spatial and Temporal Interactions in Renal Autoregulation Dynamics
Mot-clé:
synchronization
,
laser speckle imaging
,
renal autoregulation
, and
time-varying
Créateur:
Scully, Christopher
Advisor:
Chon, Ki H.
Éditeur:
Worcester Polytechnic Institute
date créée:
2013-06-24
Resource Type:
Dissertation
Degree:
PhD
Unit (Department):
Biomedical Engineering
Relating forearm muscle electrical activity to finger forces
Mot-clé:
prosthetics
,
EMG
,
proportional control
,
System Identification
,
orthotics
, and
EMG-Force model
Créateur:
Keating, Jennifer
Advisor:
Clancy, Edward A.
Éditeur:
Worcester Polytechnic Institute
date créée:
2014-04-30
Resource Type:
Thesis
Degree:
MS
Unit (Department):
Electrical & Computer Engineering
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Bida, Oljeta
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Brown D. Richard, III
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32
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Unit (Department)
Biomedical Engineering
1
Electrical & Computer Engineering
31
Éditeur
Worcester Polytechnic Institute
32
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18
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14