Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Search by expertise, name or affiliation
Asymptotic efficiency of a blind maximum likelihood sequence detector
Jill K. Nelson
,
Andrew C. Singer
Electrical and Computer Engineering
Coordinated Science Lab
Industrial and Enterprise Systems Engineering
Beckman Institute for Advanced Science and Technology
Research output
:
Contribution to journal
›
Conference article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Asymptotic efficiency of a blind maximum likelihood sequence detector'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Maximum Likelihood
100%
Asymptotic Efficiency
100%
Sequence Detector
100%
Efficiency Analysis
50%
Inter-symbol Interference
50%
Signal-to-noise Ratio
25%
Number of Data
25%
Ratio Approach
25%
Recursive Least Squares
25%
Channel Estimate
25%
Recursive Least Squares Algorithm
25%
Maximum-likelihood Detection
25%
Computer Science
maximum-likelihood
100%
Sequence Detector
100%
Intersymbol Interference
100%
Noise-to-Signal Ratio
50%
recursive least square
50%
channel estimate
50%
recursive least square algorithm
50%
Channel Knowledge
50%