S. Douglas

发表

Fast Converging Filtered Regressor Algorithms for Blind Equalization

S. Amari, S. Douglas, A. Cichocki, 1996 .

Multichannel blind deconvolution and equalization using the natural gradient

S.C. Douglas, A. Cichocki, H.H. Yang, 1997, First IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications.

Multichannel blind separation and deconvolution of sources with arbitrary distributions

S. Amari, S. Douglas, A. Cichocki, 1997, Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop.

Fast-convergence filtered regressor algorithms for blind equalisation

S. Amari, S. Douglas, A. Cichocki, 1996 .

Quasi-Newton filtered-error and filtered-regressor algorithms for adaptive equalization and deconvolution

S. Amari, S. Douglas, A. Cichocki, 1997, First IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications.

Equivariant adaptive selective transmission

Scott C. Douglas, S. Douglas, 1999, IEEE Trans. Signal Process..

Analysis of an anti-Hebbian adaptive FIR filtering algorithm

S. Douglas, 1996 .

Linearized least-squares training of multilayer feedforward neural networks

S. Douglas, T. Meng, S. Douglas, 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

Why natural gradient?

Shun-ichi Amari, Scott C. Douglas, S. Amari, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Stochastic Gradient Adaptive Step Size Algorithmsfor Adaptive Filtering

S. Douglas, V. J. MathewsDepartment, 1995 .

Adaptive step size techniques for decorrelation and blind source separation

S.C. Douglas, A. Cichocki, S. Douglas, 1998, Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284).

Numerically-robust adaptive subspace tracking using Householder transformations

S. Douglas, 2000, Proceedings of the 2000 IEEE Sensor Array and Multichannel Signal Processing Workshop. SAM 2000 (Cat. No.00EX410).

PANOPTES : A thin agile multi-resolution imaging sensor

S. Douglas, M. Christensen, M. Haney, 2022 .

A Statistical Convergence Analysis of the FastICA Algorithm for Two-Source Mixtures

S. Douglas, 2005, Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005..

Neural networks for blind decorrelation of signals

Andrzej Cichocki, Scott C. Douglas, S. Douglas, 1997, IEEE Trans. Signal Process..

A posteriori updates for adaptive filters

S. Douglas, M. Rupp, 1997, Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136).

A self-stabilized minor subspace rule

S. Amari, S. Douglas, S. Kung, 1998, IEEE Signal Processing Letters.

A family of normalized LMS algorithms

S. Douglas, 1994, IEEE Signal Processing Letters.

Novel On-Line Adaptive Learning Algorithms for Blind Deconvolution Using the Natural Gradient Approach

Shun-ichi Amari, Scott C. Douglas, Andrzej Cichocki, 1997 .

Robust techniques for independent component analysis (ICA) with noisy data

Andrzej Cichocki, Shun-ichi Amari, Scott C. Douglas, 1998, Neurocomputing.

Gradient adaptation under unit-norm constraints

S. Amari, S. Douglas, S. Kung, 1998, Ninth IEEE Signal Processing Workshop on Statistical Signal and Array Processing (Cat. No.98TH8381).

Simple adaptive algorithms for Cholesky, LDL/sup T/, QR, and eigenvalue decompositions of autocorrelation matrices for sensor array data

S. Douglas, 2001, Conference Record of Thirty-Fifth Asilomar Conference on Signals, Systems and Computers (Cat.No.01CH37256).

On equivariant adaptation in blind deconvolution

S. Douglas, S.C. Douglas, 2002, Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002..

Stochastic Orthogonalization and Its Application to Machine Learning

S. Douglas, S. Scholar, 2020 .

The fast affine projection algorithm for active noise control

S. Douglas, 1995, Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers.

Fast Exact Adaptive Algorithms for Feedforward Active

S. Douglas, M. Bodson, NoiseControlDavid S. Nelson, 2007 .

On bias removal and unit norm constraints in equation error adaptive IIR filters

S. Douglas, M. Rupp, 1996, Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers.

Simplified stochastic gradient adaptive filters using partial updating

S. Douglas, 1994, Proceedings of IEEE 6th Digital Signal Processing Workshop.

A numerically-stable sliding-window estimator and its application to adaptive filters

J.K. Soh, S. Douglas, S.C. Douglas, 1997, Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136).

A Causal Frequency-Domain Implementation of a Natural Gradient Multichannel Blind Deconvolution and Source Separation Algorithm

Hiroshi Sawada, Scott C. Douglas, Shoji Makino, 2004 .

Natural gradient blind deconvolution and equalization using causal FIR filters

S. Douglas, H. Sawada, S. Makino, 2003, The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003.

Simple adaptive algorithms for blind source separation of noisy mixtures

S. Douglas, 2002, Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002..

Blind Signal Separation : An Overview of Density-Based Methods

S. Douglas, 1999 .

Prewhitened blind source separation with orthogonality constraints

S. Douglas, S.C. Douglas, 1999, Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers (Cat. No.CH37020).

Allpass vs. unit-norm constraints in contrast-based blind deconvolution

S. Douglas, S. Kung, 1999, Neural Networks for Signal Processing IX: Proceedings of the 1999 IEEE Signal Processing Society Workshop (Cat. No.98TH8468).

Adaptive time delay estimation with allpass constraints

S. Douglas, S.C. Douglas, X. Sun, 1999, Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers (Cat. No.CH37020).

Designing orthonormal subspace tracking algorithms

S. Douglas, S.C. Douglas, X. Sun, 2000, Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154).

Optimum error quantization for LMS adaptation

Scott C. Douglas, Teresa H. Meng, S. Douglas, 1991, [1991] IEEE Pacific Rim Conference on Communications, Computers and Signal Processing Conference Proceedings.

!I#E%-P(I)* !AS*ICA A./(0I*12S !(0 *1E 3.I)% SEPA0A*I() (! C(2P.E#-4A.5E% SI/)A. 2I#*50ES

S. Douglas, 2008 .

A gradient algorithm for adaptive orthogonal FIR filter banks with arbitrary magnitude constraints

S. Douglas, J. Norris, 2004, 3rd IEEE Signal Processing Education Workshop. 2004 IEEE 11th Digital Signal Processing Workshop, 2004..

Steady state analysis of the CLMS and augmented CLMS algorithms for noncircular complex signals

Danilo P. Mandic, Yili Xia, Scott C. Douglas, 2010, 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers.

A Bias Removal Technique for Blind Source Separation With

S. Douglas, A. Cichocki, 1998 .

% Error in Predicting Final Emse Values, Indep. % Error in Predicting Final Emse Values, Exact Step Size # of Equations # of Equations N M Mean Mse N M Mean Mse

S. Douglas, H. Meng, 2022 .

The INFINITY Project: expanding signal-processing-based engineering education to the high school classroom

Ravindra A. Athale, Sally L. Wood, Scott C. Douglas, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Analysis and 2) Providing an Automated Program for Determining

S. Douglas, H. Meng, 2022 .

Phase-only adaptive filters: theory and algorithms

S. Douglas, 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

An Eecient Implementation of the Modiied Filtered-x Lms Algorithm Ieee Signal Processing Letters

S. Douglas, 2022 .

Blind Signal Separation and Blind Deconvolution

Scott C. Douglas, S. Douglas, 2018, Handbook of Neural Network Signal Processing.

On-Line Step-Size Selection for Training of Adaptive Systems

S.C. Douglas, A. Cichocki, S. Douglas, 1997, IEEE Signal Processing Magazine.

Convolutive Blind Source Separation for Audio Signals

Scott C. Douglas, Malay Gupta, S. Douglas, 2007, Blind Speech Separation.

Convergence Issues in the LMS Adaptive Filter

Markus Rupp, Scott C. Douglas, S. Douglas, 2009 .

Introduction to Adaptive Filters

Scott C. Douglas, S. Douglas, 1999 .

Quaternion-Valued Adaptive Filtering via Nesterov’s Extrapolation

Danilo P. Mandic, Scott C. Douglas, Thiernithi Variddhisaï, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Gradient Adaptive Paraunitary Filter Banks for Spatio-Temporal Subspace Analysis and Multichannel Blind Deconvolution

Sun-Yuan Kung, Shun-ichi Amari, Scott C. Douglas, 2004, J. VLSI Signal Process..

Adaptive paraunitary filter banks for principal and minor subspace analysis

Sun-Yuan Kung, Shun-ichi Amari, Scott C. Douglas, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Maintaining the Integrity of Sources in Complex Learning Systems: Intraference and the Correlation Preserving Transform

Danilo P. Mandic, Scott C. Douglas, Clive Cheong Took, 2015, IEEE Transactions on Neural Networks and Learning Systems.

The correlation preserving transform resolves phase ambiguity in complex decorrelating transforms

Danilo P. Mandic, Scott C. Douglas, Clive Cheong Took, 2014, 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM).

On intraference and its implications in complex-valued signal processing

Danilo P. Mandic, Scott C. Douglas, Clive Cheong Took, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Simple, Robust, and Memory-Efficient FastICA Algorithms Using the Huber M-Estimator Cost Function

Scott C. Douglas, Jih-Cheng Chao, S. Douglas, 2007, J. VLSI Signal Process..

Scaled Natural Gradient Algorithms for Instantaneous and Convolutive Blind Source Separation

Scott C. Douglas, Malay Gupta, S. Douglas, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Fixed-Point Algorithms for the Blind Separation of Arbitrary Complex-Valued Non-Gaussian Signal Mixtures

Scott C. Douglas, S. Douglas, 2007, EURASIP J. Adv. Signal Process..

A Simple and Robust Fastica Algorithm Using the Huber M-Estimator Cost Function

Scott C. Douglas, Jih-Cheng Chao, S. Douglas, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Fixed-Point FastICA Algorithms for the Blind Separation of Complex-Valued Signal Mixtures

S.C. Douglas, S. Douglas, 2005, Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005..

Simple algorithms for decorrelation-based blind source separation

Scott C. Douglas, S. Douglas, 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

Is gradient descent appropriate for entropy-based source separation?

Scott C. Douglas, Geoffrey C. Orsak, S. Douglas, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Mean square error analyses of adaptive blind source separation algorithms

Scott C. Douglas, Xiaoan Sun, S. Douglas, 2001, Neural Networks for Signal Processing XI: Proceedings of the 2001 IEEE Signal Processing Society Workshop (IEEE Cat. No.01TH8584).

Adaptive paraunitary filter banks for contrast-based multichannel blind deconvolution

Scott C. Douglas, Xiaoan Sun, S. Douglas, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Blind Separation of Acoustic Signals

Scott C. Douglas, S. Douglas, 2001, Microphone Arrays.

Self-stabilized gradient algorithms for blind source separation with orthogonality constraints

Scott C. Douglas, S. Douglas, 2000, IEEE Trans. Neural Networks Learn. Syst..

Multichannel blind deconvolution of arbitrary signals: adaptive algorithms and stability analyses

S.C. Douglas, X. Sun, S. Douglas, 2000, Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154).

Gradient Adaptive Algorithms for Contrast-Based Blind Deconvolution

Sun-Yuan Kung, Scott C. Douglas, S. Douglas, 2000, J. VLSI Signal Process..

Code-length-based universal extraction for blind signal separation

Scott C. Douglas, Geoffrey C. Orsak, S. Douglas, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

On gradient adaptation with unit-norm constraints

Sun-Yuan Kung, Shun-ichi Amari, Scott C. Douglas, 2000, IEEE Trans. Signal Process..

Design of estimation/deflation approaches to independent component analysis

S. Douglas, S. Kung, S.C. Douglas, 1998, Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284).

Kuicnet Algorithms for Blind Deconvolution

Scott C. Douglas, S. Douglas, S. Kung, 1998, Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378).

Bias removal technique for blind source separation with noisy measurements

Andrzej Cichocki, Scott C. Douglas, S. Amari, 1998 .

Equivariant algorithms for selective transmission

Scott C. Douglas, S. Douglas, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

A Bias Removal Technique for Blind Source Separation With

S. Douglas, A. Cichocki, 1998 .

On the relationship between blind deconvolution and blind source separation

S.C. Douglas, S. Haykin, S. Haykin, 1997, Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136).

Performance analysis of the deficient length augmented CLMS algorithm for second order noncircular complex signals

Danilo P. Mandic, Yili Xia, Scott C. Douglas, 2018, Signal Process..

An adaptive approach for the identification of improper complex signals

Danilo P. Mandic, Scott C. Douglas, Beth Jelfs, 2012, Signal Process..

Collaborative adaptive filtering in the complex domain

S.C. Douglas, D.P. Mandic, Y. Xia, 2008, 2008 IEEE Workshop on Machine Learning for Signal Processing.

Self-whitening algorithms for adaptive equalization and deconvolution

Andrzej Cichocki, Shun-ichi Amari, Scott C. Douglas, 1999, IEEE Trans. Signal Process..

Reducing the Computational and Memory Requirements of the Multichannel Filtered{x Lms Adaptive Controller

S. Douglas, 1997 .

Widely-linear recursive least-squares algorithm for adaptive beamforming

Scott C. Douglas, S. Douglas, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Convergence Analysis of Local Algorithms for Blind Decorrelation

Andrzej Cichocki, Scott C. Douglas, S. Douglas, 1996, NIPS 1996.

Computational imaging systems: joint design and end-to-end optimality.

Marc P Christensen, Dinesh Rajan, Tejaswini Mirani, 2008, Applied optics.

A Spatio–Temporal Speech Enhancement Technique Based on Generalized Eigenvalue Decomposition

Scott C. Douglas, Malay Gupta, S. Douglas, 2009, IEEE Transactions on Audio, Speech, and Language Processing.

Natural gradient multichannel blind deconvolution and speech separation using causal FIR filters

Hiroshi Sawada, Scott C. Douglas, Shoji Makino, 2004, IEEE Transactions on Speech and Audio Processing.

Convolutive blind separation of speech mixtures using the natural gradient

Scott C. Douglas, Xiaoan Sun, S. Douglas, 2003, Speech Commun..

On the existence of universal nonlinearities for blind source separation

Scott C. Douglas, Heinz Mathis, S. Douglas, 2002, IEEE Trans. Signal Process..

Blind separation of acoustical mixtures without time-domain deconvolution or decorrelation

Scott C. Douglas, Xiaoan Sun, S. Douglas, 2001, Neural Networks for Signal Processing XI: Proceedings of the 2001 IEEE Signal Processing Society Workshop (IEEE Cat. No.01TH8584).

Adaptive Frequency Estimation in Smart Grid Applications: Exploiting Noncircularity and Widely Linear Adaptive Estimators

Danilo P. Mandic, Yili Xia, Scott C. Douglas, 2012, IEEE Signal Processing Magazine.

Adaptive algorithms for the rejection of sinusoidal disturbances with unknown frequency

Scott C. Douglas, Marc Bodson, S. Douglas, 1996, Autom..

An Adaptive Constraint Method for Paraunitary Filter Banks with Applications to Spatiotemporal Subspace Tracking

Scott C. Douglas, S. Douglas, 2007, EURASIP J. Adv. Signal Process..

The INFINITY Project: digital signal processing and digital music in high school engineering education

Scott C. Douglas, S. Douglas, 2001, Proceedings of the 2001 IEEE Workshop on the Applications of Signal Processing to Audio and Acoustics (Cat. No.01TH8575).

Adaptive filters employing partial updates

Scott C. Douglas, S. Douglas, 1997 .

Resolution improvement for compound eye images through lens diversity

S.C. Douglas, S.L. Wood, D. Rajan, 2004, 3rd IEEE Signal Processing Education Workshop. 2004 IEEE 11th Digital Signal Processing Workshop, 2004..

The initial convergence rate of the FastICA algorithm: The “One-Third Rule”

Scott C. Douglas, S. Douglas, 2015 .

Correntropy-Based Adaptive Filtering of Noncircular Complex Data

Danilo P. Mandic, Yili Xia, Scott C. Douglas, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The quaternion least mean magnitude phase adaptive filtering algorithm

Danilo P. Mandic, Scott C. Douglas, Min Xiang, 2017, 2017 22nd International Conference on Digital Signal Processing (DSP).

A pipelined LMS adaptive FIR filter architecture without adaptation delay

Scott C. Douglas, Kent F. Smith, Quanhong Zhu, 1998, IEEE Trans. Signal Process..

A pipelined architecture for LMS adaptive FIR filters without adaptation delay

Scott C. Douglas, Kent F. Smith, Quanhong Zhu, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Normalized natural gradient adaptive filtering for sparse and non-sparse systems

Scott C. Douglas, Steven L. Gay, S. Douglas, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Stochastic gradient adaptation under general error criteria

Teresa H. Y. Meng, Scott C. Douglas, S. Douglas, 1994, IEEE Trans. Signal Process..

Analysis and implementation of the max-NLMS adaptive filter

S.C. Douglas, S. Douglas, 1995, Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers.

Performance analysis of the conventional complex LMS and augmented complex LMS algorithms

Danilo P. Mandic, Scott C. Douglas, S. Douglas, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Performance comparison of two implementations of the leaky LMS adaptive filter

Scott C. Douglas, S. Douglas, 1997, IEEE Trans. Signal Process..

Adaptive cancellation of geomagnetic background noise using a sign-error normalized LMS algorithm

Scott C. Douglas, N. L. Freire, S. Douglas, 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Exact expectation analysis of the LMS adaptive filter for correlated Gaussian input data

Scott C. Douglas, S. Douglas, Weimin Pan, 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

A spatio-temporal fastICA algorithm for separating convolutive mixtures

Hiroshi Sawada, Scott C. Douglas, Shoji Makino, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

A perspective on CLMS as a deficient length augmented CLMS: Dealing with second order noncircularity

Danilo P. Mandic, Yili Xia, Scott C. Douglas, 2018, Signal Process..

On Approximate Diagonalization of Correlation Matrices in Widely Linear Signal Processing

Danilo P. Mandic, Scott C. Douglas, Clive Cheong Took, 2012, IEEE Transactions on Signal Processing.

Adaptive flat multiresolution multiplexed computational imaging architecture utilizing micromirror arrays to steer subimager fields of view.

Marc P Christensen, Michael W Haney, Vikrant Bhakta, 2006, Applied optics.

Bussgang blind deconvolution for impulsive signals

Scott C. Douglas, Heinz Mathis, S. Douglas, 2003, IEEE Trans. Signal Process..

General-purpose microprocessor performance for DSP applications

S.C. Douglas, J.N. Barkdull, S. Douglas, 1996, Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers.

Autoconvolution and panorama: Augmenting second-order signal analysis

Danilo P. Mandic, Scott C. Douglas, S. Douglas, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Fixed-Point Complex ICA Algorithms for the Blind Separation of Sources Using Their Real or Imaginary Components

Scott C. Douglas, Visa Koivunen, Jan Eriksson, 2006, ICA.

Using piecewise linear nonlinearities in the natural gradient and FastICA algorithms for blind source separation

Scott C. Douglas, Jih-Cheng Chao, S. Douglas, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Beamforming Initialization and Data Prewhitening in Natural Gradient Convolutive Blind Source Separation of Speech Mixtures

Scott C. Douglas, Malay Gupta, S. Douglas, 2007, ICA.

Numerically-robust O(N/sup 2/) RLS algorithms using least-squares prewhitening

Scott C. Douglas, S. Douglas, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Adaptive Flat Micro-Mirror Array-Based Computational Imaging Architecture

Sally L. Wood, Scott C. Douglas, Michael W. Haney, 2005 .

Spatio–Temporal FastICA Algorithms for the Blind Separation of Convolutive Mixtures

Hiroshi Sawada, Scott C. Douglas, Shoji Makino, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

A posteriori analysis of adaptive blind equalizers

S.C. Douglas, M. Rupp, S. Douglas, 1998, Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284).

A scalable VLSI architecture for multichannel blind deconvolution and source separation

Scott C. Douglas, K. F. Smith, D. Xia, 1998, 1998 IEEE Workshop on Signal Processing Systems. SIPS 98. Design and Implementation (Cat. No.98TH8374).

Root-MSE geolocation performance using angle-of-arrival measurements

Scott C. Douglas, Neda Adib, S. Douglas, 2013, 2013 Asilomar Conference on Signals, Systems and Computers.

Fast exact adaptive algorithms for feedforward active noise control

Marc Bodson, Scott C. Douglas, David S. Nelson, 2000 .

Adaptive Estimation of the Strong Uncorrelating Transform with Applications to Subspace Tracking

Scott C. Douglas, Visa Koivunen, Jan Eriksson, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Experimentally validated computational imaging with adaptive multiaperture folded architecture.

Marc P Christensen, Scott C Douglas, Vikrant R. Bhakta, 2010, Applied optics.

Experimentally Validated High-Resolution Imaging with Adaptive Multi-aperture Folded Architecture

Scott C. Douglas, Marc P. Christensen, Vikrant R. Bhakta, 2009 .

Model-based region-of-interest estimation for adaptive resource allocation in multi-aperture imaging systems

Scott C. Douglas, Dinesh Rajan, Marc P. Christensen, 2008, ICASSP.

Region-of-Interest Estimation for Adaptive Resource Allocation in Multi-Aperture Imaging Systems

Scott C. Douglas, Indranil Sinharoy, S. Douglas, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Optimal co-design of computational imaging system

Sally L. Wood, Scott C. Douglas, Dinesh Rajan, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Mean and Mean-Square Analysis of the Complex LMS Algorithm for Non-Circular Gaussian Signals

Danilo P. Mandic, Scott C. Douglas, S. Douglas, 2009, 2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop.