Results 11  20
of
471
Pilotassisted maximum likelihood frequencyOffset estimation for OFDM systems
 IEEE Trans. Commun
, 2004
"... Abstract—For orthogonal frequencydivision multiplexing (OFDM) signals that suffer from frequencyselective fading, we derive the maximumlikelihood (ML) pilotassisted carrier frequency offset (CFO) estimate and show that most proposals based on repetitive pilot symbols did not use the complete set ..."
Abstract

Cited by 11 (0 self)
 Add to MetaCart
Abstract—For orthogonal frequencydivision multiplexing (OFDM) signals that suffer from frequencyselective fading, we derive the maximumlikelihood (ML) pilotassisted carrier frequency offset (CFO) estimate and show that most proposals based on repetitive pilot symbols did not use the complete
Maximum Likelihood Sequence Estimation From The Lattice Viewpoint
, 1991
"... It is wellknown that the use of the Viterbi algorithm to implement a sequence estimator is an optimal way to remove the effect of intersymbol interference for digital transmission systems. However, such an implementation usually results in a very complicated receiver. In this thesis, we transform t ..."
Abstract
 Add to MetaCart
to the conventional Viterbi detectors. Simulation results on three different channels show that the performance of the new sequence estimators depend on the distance spectrum of the channel. But, general speaking, the performance approaches optimal as the size of the signal set and the signaltonoise ratio increase
Threshold Eects in Multiharmonic Maximum Likelihood Frequency Estimation
"... This paper derives a general expression for the mean square error in estimating the fundamental frequency of a multiharmonic signal from a nite sequence of noisy measurements The distinguishing feature of this expression is that it is applicable at values of signaltonoiseratio SNR within the thres ..."
Abstract
 Add to MetaCart
This paper derives a general expression for the mean square error in estimating the fundamental frequency of a multiharmonic signal from a nite sequence of noisy measurements The distinguishing feature of this expression is that it is applicable at values of signaltonoiseratio SNR within
Threshold Effects in Multiharmonic Maximum Likelihood Frequency Estimation
, 1993
"... This paper derives a general expression for the mean square error in estimating the fundamental frequency of a multiharmonic signal from a finite sequence of noisy measurements. The distinguishing feature of this expression is that it is applicable at values of signaltonoiseratio (SNR) within the ..."
Abstract
 Add to MetaCart
This paper derives a general expression for the mean square error in estimating the fundamental frequency of a multiharmonic signal from a finite sequence of noisy measurements. The distinguishing feature of this expression is that it is applicable at values of signaltonoiseratio (SNR) within
Approximate Maximum Likelihood Delay Estimation via Orthogonal Wavelet Transform
"... A novel approximate maximum likelihood algorithm is proposed for estimating the time difference of arrival between signals received at two spatially separated sensors. Prior to cross correlation, one of the channel outputs is optimally weighted at different frequency bands with the use of an orthogo ..."
Abstract

Cited by 4 (0 self)
 Add to MetaCart
A novel approximate maximum likelihood algorithm is proposed for estimating the time difference of arrival between signals received at two spatially separated sensors. Prior to cross correlation, one of the channel outputs is optimally weighted at different frequency bands with the use
Maximum Likelihood Estimation of Integer Frequency Offset for OFDM
"... One of the principal disadvantages of orthogonal frequency division multiplexing (OFDM) is very sensitive to frequency offset. Carrier frequency offset can be divided into two parts: an integer one and a fractional one. The integer frequency offset has no effect on the orthogonality among the subcar ..."
Abstract
 Add to MetaCart
the subcarriers, however causes a circular shift of the received data symbols, resulting in a BER of 0.5. In this paper, the maximum likelihood (ML) estimation algorithm of the integer frequency offset is derived under the assumption that the channel impairments only consist of additive noise. Simulation results
Performance Analysis of The Path Selective Decorrelating Detector with a Maximum Likelihood Channel Estimator
"... The adaptive path selective decorrelating detector requires the knowledge of the channel coefficients for path selection to reduce both system complexity and noise enhancement. Generally, the channel coefficients are assumed to be known at the receiver. However, this is not realistic. Therefore, we ..."
Abstract
 Add to MetaCart
propose a maximumlikelihood channel estimation method that makes use of both known spreading sequences and short training sequences for the estimation of channel coefficients. We derive an expression for the Mean Square Error (MSE) of the channel estimate and extend the semianalytic Bit Error Rate (BER
Performance of Eigenvaluebased Signal Detectors with Known and Unknown Noise Level
"... Abstract—In this paper we consider signal detection in cognitive radio networks, under a nonparametric, multisensor detection scenario, and compare the cases of known and unknown noise level. The analysis is focused on two eigenvaluebased methods, namely Roy’s largest root test, which requires kn ..."
Abstract

Cited by 15 (5 self)
 Add to MetaCart
knowledge of the noise variance, and the generalized likelihood ratio test, which can be interpreted as a test of the largest eigenvalue vs. a maximumlikelihood estimate of the noise variance. The detection performance of the two considered methods is expressed by closedform analytical formulas, shown
Activation detection in functional MRI using subspace modeling and maximum likelihood estimation
 IEEE Trans. Med. Imag
, 1999
"... Abstract — A statistical method for detecting activated pixels in functional MRI (fMRI) data is presented. In this method, the fMRI time series measured at each pixel is modeled as the sum of a response signal which arises due to the experimentally controlled activationbaseline pattern, a nuisance ..."
Abstract

Cited by 31 (3 self)
 Add to MetaCart
likelihood estimate is derived for the component of the nuisance subspace which is orthogonal to the response signal subspace. An estimate for the order of the nuisance subspace is obtained from an information theoretic criterion. A statistical test is derived and shown to be the uniformly most powerful (UMP
An Alternative Algorithm for Maximum Likelihood DOA Estimation and Detection
, 1994
"... The majority of algorithms developed for the narrowband direction of arrival (DOA) estimation problem rely on an eigenvalue decomposition (EVD) to determine both the number of signals and their respective DOAs. In this paper, an alternative algorithm is presented that solves both the DOA detection a ..."
Abstract
 Add to MetaCart
and estimation problems without resorting to an EVD. The algorithm is shown to have asymptotically equivalent performance to that of the (unconditional) maximum likelihood method, and hence it yields asymptotically minimum variance DOA estimates. The computational complexity required to update the DOA estimates
Results 11  20
of
471