Victor E. DeBrunner

发表

High-resolution non-parametric spectral estimation using the Hirschman uncertainty and filter banks

Guifeng Liu, Victor E. DeBrunner, 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

Non-tensor wavelet sparse basis for Random Hirschman Sensing Matrices

Peng Xi, Victor E. DeBrunner, 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.

Sub-band Implementation of Adaptive Nonlinear Filter for Adaptive Nonlinear Echo Cancellation

Dayong Zhou, Victor E. DeBrunner, Linda DeBrunner, 2007, J. Multim..

An algorithm to reduce the complexity required to convolve finite length sequences using the Hirschman optimal transform (HOT)

Victor E. DeBrunner, Ewa Matusiak, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Gust front detection in weather radar images by entropy matched functional template

Victor E. DeBrunner, Osama Alkhouli, 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

Nested partitions using texture segmentation

Victor E. DeBrunner, Valliappa Lakshmanan, R. Rabin, 2002, Proceedings Fifth IEEE Southwest Symposium on Image Analysis and Interpretation.

A Novel Multiplierless Hardware Implementation Method for Adaptive Filter Coefficients

Dayong Zhou, Victor E. DeBrunner, Linda DeBrunner, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

A two-microphone adaptive broadband array for hearing aids

Victor E. DeBrunner, Elaine D. McKinney, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

Computational analysis of rotational search methods for adaptive Pisarenko harmonic retrieval

Victor E. DeBrunner, 1993, IEEE Trans. Signal Process..

Sub-band adaptive filter structure without signal path delay for active control

Victor E. DeBrunner, Linda DeBrunner, Longji Wang, 2002, ICASSP.

A low power radix-2 FFT accelerator for FPGA

Victor E. DeBrunner, Linda DeBrunner, Soumak Mookherjee, 2015, 2015 49th Asilomar Conference on Signals, Systems and Computers.

Hirschman uncertainty with the discrete fractional fourier transform

Victor E. DeBrunner, Kirandeep Ghuman, 2013, 2013 Asilomar Conference on Signals, Systems and Computers.

A high throughput and low power radix-4 FFT architecture

Victor E. DeBrunner, Linda DeBrunner, Soumak Mookherjee, 2014, 2014 48th Asilomar Conference on Signals, Systems and Computers.

Estimating bridge displacement from acceleration using modal analysis and the minimum description length principle

Victor E. DeBrunner, Linda DeBrunner, Michelle Rambo-Roddenberry, 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

A novel translation and modulation invariant discrete-discrete uncertainty measure

Victor E. DeBrunner, Joseph P. Havlicek, Peter C. Tay, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Automatic fog detection in day and night images to improve highway driving conditions

Victor E. DeBrunner, Jigar Patel, 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.

Adaptive tracking in the time-frequency plane and its application in causal real-time speech analysis

Victor E. DeBrunner, Minh Ta, Hieu Thai, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Blind nonlinear channel equalization based on efficient sub-space algorithms

Dayong Zhou, Victor E. DeBrunner, 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

Directionalizing adaptive multi-microphone arrays for hearing aids using cardioid microphones

Victor E. DeBrunner, Elaine D. McKinney, 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Recovery of lost blocks by dynamic pixel interleaving

Victor E. DeBrunner, Linda DeBrunner, Longji Wang, 1999, ISCAS'99. Proceedings of the 1999 IEEE International Symposium on Circuits and Systems VLSI (Cat. No.99CH36349).

Design of space-efficient, wide- and narrow transition-band, FIR filters

Victor E. DeBrunner, Linda DeBrunner, Xiaojuan Hu, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Reply to "Comments on 'Resolution in time-frequency'"

Victor E. DeBrunner, Tomasz Przebinda, Murad Özaydm, 2000, IEEE Trans. Signal Process..

Efficient Adaptive Nonlinear ECHO Cancellation, Using Sub-band Implementation of the Adaptive Volterra Filter

Dayong Zhou, Yan Zhai, Mark B. Yeary, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Texture-based segmentation of satellite weather imagery

Victor E. DeBrunner, Valliappa Lakshmanan, R. Rabin, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

Resolution in time-frequency

Victor E. DeBrunner, Murad Özaydin, Tomasz Przebinda, 1999, IEEE Trans. Signal Process..

Image restoration using a hybrid combination of particle filtering and wavelet denoising

Yan Zhai, Mark B. Yeary, Victor E. DeBrunner, 2005, IEEE International Conference on Image Processing 2005.

Pareto optimal designs of low sensitivity digital filters: parallel and cascade form structures

Tarek Tutunji, Victor E. DeBrunner, V. DeBrunner, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

Using artificial neural networks to improve the mechanical signature analysis test

Victor E. DeBrunner, Tod Bussert, V. DeBrunner, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

Hardware implementation of the Hirschman Optimal Transform

Victor E. DeBrunner, Linda DeBrunner, Soumak Mookherjee, 2012, 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

Multiple fully adaptive notch filter design based on allpass sections

Victor E. DeBrunner, Sebastian Torres, 2000, IEEE Trans. Signal Process..

Design of space-efficient, wide- and narrow transition-band, FIR filters

Victor E. DeBrunner, Linda DeBrunner, Xiaojuan Hu, 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

An adaptive, high-order, notch filter using all pass sections

Victor E. DeBrunner, Sebastian Torres, V. DeBrunner, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Adaptive Notch Filter with time-frequency tracking of continuously changing frequencies

Victor E. DeBrunner, Minh Ta, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

A localized vibration response technique for damage detection in bridges

Victor E. DeBrunner, Alessio Medda, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Novel Adaptive Nonlinear Predistorters Based on the Direct Learning Algorithm

Dayong Zhou, Victor E. DeBrunner, V. DeBrunner, 2007, IEEE Transactions on Signal Processing.

The Telecomputing laboratory: a multipurpose facility used in DSP education at the University of Oklahoma

Sridhar Radhakrishnan, Victor E. DeBrunner, Linda DeBrunner, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

Hardware Implementation of Hirschman Optimal Transform Based on Distributed Arithmetic

Linda S. DeBrunner, Victor E. DeBrunner, Dingli Xue, 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

Hardware implementation of a series of transform matrices based on discrete hirschman transform

Peng Xi, Victor E. DeBrunner, 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.

Model structure incorporated into recursive partial realization strategies

A. A. Beex, Victor E. DeBrunner, V. DeBrunner, 1995, Signal Process..

Efficient Adaptive Nonlinear Filters for Nonlinear Active Noise Control

Dayong Zhou, Victor E. DeBrunner, V. DeBrunner, 2007, IEEE Transactions on Circuits and Systems I: Regular Papers.

Complexity reduction in compressive sensing using Hirschman uncertainty structured random matrices

Peng Xi, Victor E. DeBrunner, 2014, 2014 48th Asilomar Conference on Signals, Systems and Computers.

The optimal solutions to the continuous and discrete-time versions of the Hirschman uncertainty principle

Victor E. DeBrunner, Joseph P. Havlicek, Murad Özaydin, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Secondary information from filter bank may not yield higher resolution of line

Guifeng Liu, Victor E. DeBrunner, 2012, 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

High-resolution non-parametric spectral estimation using the Hirschman optimal transform

Guifeng Liu, Victor E. DeBrunner, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A novel adaptive nonlinear predistorter based on the direct learning algorithm

Dayong Zhou, Victor E. DeBrunner, 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).

Quantization effect on phase response and its application to multiplierless ANC

Dayong Zhou, Victor E. DeBrunner, Linda DeBrunner, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Spectral estimation with the Hirschman optimal transform filter bank and compressive sensing

Guifeng Liu, Victor E. DeBrunner, V. DeBrunner, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Hirschman uncertainty using Rényi, instead of shannon, entropy is invariant to the Rényi entropy order

Victor E. DeBrunner, Kirandeep Ghuman, 2012, 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

A wavelet filter bank which minimizes a novel translation invariant discrete uncertainty measure

Victor E. DeBrunner, Joseph P. Havlicek, Peter C. Tay, 2002, Proceedings Fifth IEEE Southwest Symposium on Image Analysis and Interpretation.

On the use of (lapped) multiple transforms in still image compression

Victor E. DeBrunner, Lixiang Chen, Hong-Jian Li, 1995, Proceedings., International Conference on Image Processing.

Error control and concealment for image transmission

Sridhar Radhakrishnan, Victor E. DeBrunner, Linda DeBrunner, 2000, IEEE Communications Surveys & Tutorials.

The telecomputing laboratory: a multipurpose laboratory

Sridhar Radhakrishnan, Victor E. DeBrunner, Linda DeBrunner, 2001, IEEE Trans. Educ..

The effect of identifier structure on parameter convergence

A. A. Beex, Victor E. DeBrunner, V. DeBrunner, 1992, IEEE Trans. Signal Process..

A New Active Noise Control Algorithm That Requires No Secondary Path Identification Based on the SPR Property

Dayong Zhou, Victor E. DeBrunner, V. DeBrunner, 2007, IEEE Transactions on Signal Processing.

Sub-band adaptive filtering with delay compensation for active control

Victor E. DeBrunner, Linda DeBrunner, Longji Wang, 2004, IEEE Transactions on Signal Processing.

Polarimetric Azimuthal Spectral Histogram Exposes Types of Mixed Scatterers and the Cause for Unexpected Polarimetric Averages

Dusan Zrnic, Victor E. DeBrunner, Svetlana Bachmann, 2007, 2007 IEEE International Conference on Image Processing.

Blind Channel Equalization with Colored Source Based on Constrained Optimization Methods

Dayong Zhou, Victor E. DeBrunner, Linda DeBrunner, 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

Using a new uncertainty measure to determine optimal bases for signal representations

Victor E. DeBrunner, Murad Özaydin, Tomasz Przebinda, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Minimum entropy estimation as a near maximum-likelihood method and its application in system identification with non-Gaussian noise

Victor E. DeBrunner, Minh Ta, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Hirschman Optimal Transform Block LMS Adaptive Filter

Victor E. DeBrunner, Osama Alkhouli, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

The optimal transform for the discrete Hirschman uncertainty principle

Victor E. DeBrunner, Murad Özaydin, Tomasz Przebinda, 2001, IEEE Trans. Inf. Theory.

Error Tolerance based Single Interesting Point Side Channel CPA Distinguisher

Degang Sun, Zhu Wang, Victor E. DeBrunner, 2016, AsiaCCS.

Field testing of indirect displacement estimation using accelerometers

Victor E. DeBrunner, Linda DeBrunner, Michelle Rambo-Roddenberry, 2012, 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

Analysis in a finite time-frequency plane

Victor E. DeBrunner, Tomasz Przebinda, Murad Özaydm, 2000, IEEE Trans. Signal Process..

A hardware efficient technique for linear convolution of finite length sequences

Victor E. DeBrunner, Linda DeBrunner, Soumak Mookherjee, 2013, 2013 Asilomar Conference on Signals, Systems and Computers.

A proof on the invariance of the Hirschman Uncertainty to the Rényi entropy parameter and an observation on its relevance in the image texture classification problem

Victor E. DeBrunner, Kirandeep Ghuman, 2014, 2014 48th Asilomar Conference on Signals, Systems and Computers.

Improved method for correction of systematic bias introduced by the sub-voxel image registration process in functional magnetic resonance imaging (fMRI)

Victor E. DeBrunner, Vincent Magnotta, Tomasz Przebinda, 2006, SPIE Medical Imaging.

A Multiplier Structure Based on a Novel Real-time CSD Recoding

Dayong Zhou, Victor E. DeBrunner, Linda DeBrunner, 2007, 2007 IEEE International Symposium on Circuits and Systems.

A study on the impact of the fourier transform on Hirschman Uncertainty

Victor E. DeBrunner, Kirandeep Ghuman, 2015, 2015 49th Asilomar Conference on Signals, Systems and Computers.

Edge-retaining asymptotic projections onto convex sets for image interpolation

Victor E. DeBrunner, Linda DeBrunner, Minghua Yao, 2000, 4th IEEE Southwest Symposium on Image Analysis and Interpretation.

Hirschman optimal transform DFT block LMS algorithm

Victor E. DeBrunner, Osama Alkhouli, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

A proof of Hirschman Uncertainty invariance to the order of Rényi entropy for Picket Fence signals, and its relevance in a simplistic recognition experiment

Victor E. DeBrunner, Kirandeep Ghuman, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Lapped multiple bases algorithms for still image compression without blocking effect

Victor E. DeBrunner, Lixiang Chen, Hong-Jian Li, 1997, IEEE Trans. Image Process..

Hybrid filtered error LMS algorithm: another alternative to filtered-x LMS

Dayong Zhou, Victor E. DeBrunner, 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.

Spectral Analysis of Polarimetric Weather Radar Data with Multiple Processes in a Resolution Volume

Dusan Zrnic, Mark B. Yeary, Victor E. DeBrunner, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Blind channel equalization with colored source based on constrained optimization methods

Dayong Zhou, Victor E. DeBrunner, 2004, GLOBECOM.

Multi-resolution and multi-sensor data fusion for remote sensing in detecting air pollution

Victor E. DeBrunner, Linda DeBrunner, Amir Zia, 2002, Proceedings Fifth IEEE Southwest Symposium on Image Analysis and Interpretation.

Fixed-Point Implementation of Discrete Hirschman Transform

Victor E. DeBrunner, Linda DeBrunner, Rajesh Thomas, 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

High Resolution Centroid Hirschman Descriptor For Moving Object Detection

Peng Xi, Victor E. DeBrunner, 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

ANC algorithms that do not require identifying the secondary path

Dayong Zhou, Victor E. DeBrunner, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

A simplified adaptive nonlinear predistorter for high power amplifiers based on the direct learning algorithm

Dayong Zhou, Victor E. DeBrunner, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.