Covariance analysis of time delay estimates for strained signals
Continuous-time envelope-constrained filter design via Laguerre filters and /spl Hscr//sub /spl infin// optimization methods
Quantifying the effects of dimension on the convergence rate of the LMS adaptive FIR estimator
Theory and applications of adaptive constant-Q distributions
Discrete-time local polynomial approximation of the instantaneous frequency
Frequency-warped filter banks and wavelet transforms: a discrete-time approach via Laguerre expansion
LMS estimation via structural detection
Adaptive parallel-cascade truncated Volterra filters
New class of zero-forcing cost functions in blind equalization
Separation of cochannel signals in TDMA mobile radio
A three-state biological point process model and its parameter estimation
Bi-iteration recursive instrumental variable subspace tracking and adaptive filtering
Asymptotic MAP criteria for model selection
Localization of multiple sources with moving arrays
Parameter estimation for autoregressive Gaussian-mixture processes: the EMAX algorithm
A statistical resolution theory of the AR method of spectral analysis
An error control scheme for transmission of vector quantization data over noisy channels
Multilinguistic handwritten character recognition by Bayesian decision-based neural networks
Data smoothing by cubic spline filters
High spectral resolution time-frequency distribution kernels
Method for defining a class of fractional operations
Multidimensional, paraunitary principal component filter banks
Subspace approach for the design of cosine-modulated filter banks with linear-phase prototype filter
Convolution theorems for linear transforms
A sampling theorem for shift-invariant subspace
Adaptive precompensation of Wiener systems
Parallel-cascade realizations and approximations of truncated Volterra systems
Input Nyquist sampling suffices to identify and compensate nonlinear systems
An analytic theory for power law detection of bursty targets in multiplicative noise
A classification-driven partially occluded object segmentation (CPOOS) method with application to chromosome analysis
Covariance analysis of time delay estimates for strained signals
Continuous-time envelope-constrained filter design via Laguerre filters and /spl Hscr//sub /spl infin// optimization methods
Quantifying the effects of dimension on the convergence rate of the LMS adaptive FIR estimator
Theory and applications of adaptive constant-Q distributions
Discrete-time local polynomial approximation of the instantaneous frequency
Frequency-warped filter banks and wavelet transforms: a discrete-time approach via Laguerre expansion
LMS estimation via structural detection
Adaptive parallel-cascade truncated Volterra filters
New class of zero-forcing cost functions in blind equalization
Separation of cochannel signals in TDMA mobile radio
A three-state biological point process model and its parameter estimation
Bi-iteration recursive instrumental variable subspace tracking and adaptive filtering
Asymptotic MAP criteria for model selection
Localization of multiple sources with moving arrays
Parameter estimation for autoregressive Gaussian-mixture processes: the EMAX algorithm
A statistical resolution theory of the AR method of spectral analysis
An error control scheme for transmission of vector quantization data over noisy channels
Multilinguistic handwritten character recognition by Bayesian decision-based neural networks
Data smoothing by cubic spline filters
High spectral resolution time-frequency distribution kernels
Method for defining a class of fractional operations
Multidimensional, paraunitary principal component filter banks
Subspace approach for the design of cosine-modulated filter banks with linear-phase prototype filter
Convolution theorems for linear transforms
A sampling theorem for shift-invariant subspace
Adaptive precompensation of Wiener systems
Parallel-cascade realizations and approximations of truncated Volterra systems
Input Nyquist sampling suffices to identify and compensate nonlinear systems
An analytic theory for power law detection of bursty targets in multiplicative noise
A classification-driven partially occluded object segmentation (CPOOS) method with application to chromosome analysis
Covariance analysis of time delay estimates for strained signals
Continuous-time envelope-constrained filter design via Laguerre filters and /spl Hscr//sub /spl infin// optimization methods
Quantifying the effects of dimension on the convergence rate of the LMS adaptive FIR estimator
Theory and applications of adaptive constant-Q distributions
Discrete-time local polynomial approximation of the instantaneous frequency
Frequency-warped filter banks and wavelet transforms: a discrete-time approach via Laguerre expansion
LMS estimation via structural detection
Adaptive parallel-cascade truncated Volterra filters
New class of zero-forcing cost functions in blind equalization
Separation of cochannel signals in TDMA mobile radio
A three-state biological point process model and its parameter estimation
Bi-iteration recursive instrumental variable subspace tracking and adaptive filtering
Asymptotic MAP criteria for model selection
Localization of multiple sources with moving arrays
Parameter estimation for autoregressive Gaussian-mixture processes: the EMAX algorithm
A statistical resolution theory of the AR method of spectral analysis
An error control scheme for transmission of vector quantization data over noisy channels
Multilinguistic handwritten character recognition by Bayesian decision-based neural networks
Data smoothing by cubic spline filters
High spectral resolution time-frequency distribution kernels
Method for defining a class of fractional operations
Multidimensional, paraunitary principal component filter banks
Subspace approach for the design of cosine-modulated filter banks with linear-phase prototype filter
Convolution theorems for linear transforms
A sampling theorem for shift-invariant subspace
Adaptive precompensation of Wiener systems
Parallel-cascade realizations and approximations of truncated Volterra systems
Input Nyquist sampling suffices to identify and compensate nonlinear systems
An analytic theory for power law detection of bursty targets in multiplicative noise
A classification-driven partially occluded object segmentation (CPOOS) method with application to chromosome analysis
