NDLI: Wide-sense linear mean square estimation and prediction

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Multiple platform target motion analysis: performance and limitations

Parallel and stable spherical subspace tracking

Recursive estimate-maximize (EM) algorithms for time varying parameters with applications to multiple target tracking

Sensor array approach to nonwave field processing

Optimal filtering in the subband domain

Blind separation of wide-band sources in the frequency domain

Proper prior marginalization of the conditional ML model for combined model selection/source localization

Optimal IV-SSF approach to array signal processing in colored noise fields

Subspace-based direction finding in alpha-stable noise environments

2D unitary ESPRIT for efficient 2D parameter estimation

Extension of the Pisarenko method to sparse linear arrays

Localization of correlated and uncorrelated signals in colored noise via generalized least squares

A robust and efficient algorithm for source parameter estimation

Localization of multiple signals using subarrays data

A new method for source separation

State decoupling in estimation theory

Performances analysis of parameterized adaptive eigenspace algorithms

On local orthonormal bases for classification and regression

On the equivalence of generalized joint signal representations

Evolutionary spectral analysis and the generalized Gabor expansion

Orthonormal bases of bandlimited wavelets with frequency overlap

M-band wavelet decomposition of second order random processes

Time-frequency formulation and design of nonstationary Wiener filters

Variable frequency evolutionary spectrum

Discrete scale transform for signal analysis

Best basis algorithm for signal enhancement

Time-varying filtering via multiresolution parametric spectral estimation

Reduced parameter Volterra filters

A class of second order self-similar processes for 1/f phenomena

Higher-order scale spectra and higher-order time-scale distributions

BET, the bicorspectral transform definition, properties, implementation and applications

Detection of nonlinearity in sea surface SAR imaging process using bispectrum method estimation

Robustification of cyclostationary array processing techniques

Performance analysis for a class of amplitude modulated polynomial phase signals

Linear parametric models for signals with long-range dependence and infinite variance

Blind identification of nonlinear models using higher order spectral analysis

Decomposition of a mixture of Gaussian AR processes

Recursive estimation of signals in an autoregressive noise

Frequency estimation of multiplicative ARMA noisy data

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Model order selection of damped sinusoids by predictive densities

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Estimation of spectral correlation using filter banks

An unified prefiltering-based approach to harmonic retrieval in non-Gaussian ARMA noise

A generalization to the Teager-Kaiser energy function and application to resolving two closely-spaced tones

A parametric set of spectral estimates and their performance

The use of the Barankin bound for determining the threshold SNR in estimating the bearing of a source in the presence of another

Ziv-Zakai lower bounds in bearing estimation

Theoretical comparison for biases of MUSIC-like DOA estimators

Analysing the effects of constraints and inter-signal coherence on the MUSIC algorithm

Performance analysis of the minimum variance beamformer

Comparative studies of MUSIC and MVDR location estimators for model perturbations

The best achievable performance for DOA estimation using ESPRIT arrays

Acoustic vector-sensor beamforming and Capon direction estimation

Array processing using parametric signal models

Uniqueness study of measurements obtainable with an electromagnetic vector sensor

Identification of time-varying Hammerstein systems

Tree structured non-linear signal modeling and prediction

A fast algorithm for the two-dimensional covariance method of linear prediction

The multiple lag process and its estimation

Generalized linear prediction based on analytic signals

A method for realization of an ARMAX lattice filter

Statistical study of reflection coefficients derived from a random AR process

System identification from noisy measurements by using instrumental variables and subspace fitting

Similarities and differences between one-sided and two-sided linear prediction

A parametric model for the quadratic sampling of a bandlimited signal

Adaptive antenna arrays for cellular CDMA communication systems

An effective transmission beamforming scheme for frequency-division-duplex digital wireless communication systems

Adaptive multiuser bootstrapped decorrelating CDMA detector for one-shot asynchronous unknown channels

High resolution adaptive arrays based on random processing techniques: frequency hopping modulation

Estimation of co-channel FM signals with multitarget adaptive phase-locked loops and antenna arrays

Blind adaptive beamforming for narrowband co-channel digital communications signals in a multipath environment

Sensor-efficient spatial processing of multiple co-channel digital signals

Forward link antenna diversity using feedback for indoor communication systems

Multiuser blind channel estimation and spatial channel pre-equalization

Experimental studies of SDMA schemes for wireless communications

A modified Euclidean algorithm for isolating periodicities from a sparse set of noisy measurements

Structured autoregressive instantaneous phase and frequency estimation

Complex sinusoid frequency estimation at very low SNR

Constrained least-squares estimation of a random amplitude sinusoid

Effect of model mismatch on polynomial envelope and phase modeling of nonstationary sinusoids

Estimation and statistical analysis for exponential polynomial signals

Joint parameter estimation and demodulation of superimposed convolutional coded signals

Adaptive period estimation of a class of periodic random processes

Amplitude and phase estimator study in Prony method for noisy exponential data

Accuracy analysis of estimation algorithms for parameters of multiple polynomial-phase signals

Parameter selection for a Markovian signal reconstruction with edge detection

Estimation of phase for noisy linear phase signals

Three techniques for state order estimation of hidden Markov models

On quantization and its impact on the exact recovery of high order moments

Radar clutter classification using autoregressive modelling, K-distribution and neural network

ML estimation of signal power in the presence of unknown noise field-simple approximate estimator and explicit Cramer-Rao bound

A method for reducing computations in cyclostationarity-exploiting beamforming

Parallel computation of higher order moments on the MasPar-1 machine

Computing symmetric wavelet transforms using DCT and DST

Fast estimation of the parameters of alpha-stable impulsive interference using asymptotic extreme value theory

Detection of spread-spectrum signals in a multi-user environment

Parallel feedforward equalization-a new nonlinear adaptive algorithm

Performance of FH SS radio networks with interference modeled as a mixture of Gaussian and alpha-stable noise

The performance of multichannel adaptive equalization for LOS digital communication corrupted by interference

A probability model describing the output of a wideband stereo audio coder

Spread spectrum sequence estimation and bit synchronization using an EM-type algorithm

Classification of PSK signals using the DFT of phase histogram

MMSE antenna diversity equalization of a jammed frequency-selective fading channel

Blind multiuser identification and detection in CDMA systems

Optimal direction finding with partially calibrated arrays

Robust bearing estimation in the presence of direction-dependent modelling errors: identifiability and treatment

Analysis of signal estimation using uncalibrated arrays

A self-calibration algorithm for cyclostationary signals and its uniqueness analysis

Full space-time clutter covariance estimation

Considerations in the autocalibration of quadrature receivers

Wideband multi-source beamforming with adaptive array location calibration and direction finding

Optimum cumulant-based blind beamforming for coherent signals and interferences

Blind source detection and separation using second order non-stationarity

Maximum SINR beamforming for correlated sources

Separation of forward and backward acoustic waves in a car exhaust by array processing

Design of optimum periodic time varying filters for applications in combustion diagnosis of car engines

Using recursive parameter estimation for sleep disorder discrimination

Detection of human reflex response time-delay to a stretch muscular perturbation

Seizure analysis of newborn EEG using a model based approach

Approximate maximum likelihood estimators for position and energy in scintillation cameras

Maximum likelihood estimation for superimposed exponentially decaying fluorescence processes

Adaptive extraction of resonances in acoustic backscatter from elastic targets

Detection of helicopter signals using cyclostationarity

Signal subspace techniques for DOA estimation using higher order statistics

A unified class of inverse filter criteria using two cumulants for blind deconvolution and equalization

Further results on blind identification and equalization of multiple FIR channels

Prediction error methods for time-domain blind identification of multichannel FIR filters

Blind fractionally-spaced equalization of noisy FIR channels: adaptive and optimal solutions

On fractionally-spaced blind adaptive equalization under symbol timing offsets using Godard and related equalizers

Blind identification using the kurtosis: results of field data processing

Blind deconvolution of system with unknown response excited by cyclostationary impulses

Fractionally spaced blind equalization: loss of channel disparity

On blind channel identification for impulsive signal environments

Knowledge based identification of fractionally sampled channels

On the probability of detection of a transient signal

On detection of cyclostationary signals

Cyclic detection in a nonwhite Gaussian noise

Testing Gaussianity with the characteristic function

Multiple fuzzy hypotheses testing

An alternative to standard maximum likelihood for Gaussian mixtures

Asymptotic analysis of an algorithm for identification of quantized AR time-series

Wide-sense linear mean square estimation and prediction

An SNR threshold for 2-D damped harmonic models

Sparse network array processing employing prior covariance knowledge

A data version of the Gauss-Markov theorem and its application to adaptive subspace splitting

Robustness of the subspace GLRT to signal mismatch

Velocity and acceleration estimation of Doppler weather radar/lidar signals in colored noise

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Wide-sense linear mean square estimation and prediction

Content Provider	IEEE Xplore Digital Library
Author	Picinbono, B.
Copyright Year	1995
Description	Author affiliation: Lab. des Signaux et Systemes, Gif-sur-Yvette, France (Picinbono, B.)
Abstract	Optimum mean square estimation of a random variable y in terms of an observation vector x is realized by the conditional expectation value. When x and y are real and jointly normal this expectation is linear in x. This is no longer the case when x and y are complex and jointly normal and the expectation is linear in x and in its complex conjugate x*, which introduces a widely linear procedure. The purpose of the paper is to study the properties of widely linear systems for estimation and prediction. The structure of such systems is calculated and the gain in performance is analyzed. The results are applied to autoregressive signals, which introduces widely linear prediction.
Starting Page	2032
Ending Page	2035
File Size	369460
Page Count	4
File Format	PDF
ISBN	0780324315
ISSN	15206149
DOI	10.1109/ICASSP.1995.480674
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-05-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vectors Random variables Signal processing Mean square error methods Linear systems Performance gain Performance analysis State estimation Writing Spectral analysis
Content Type	Text
Resource Type	Article

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