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ORCIDLinda DeBrunner
Person information
- affiliation: Florida State University, Tallahassee, Florida
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Books and Theses
- 1991
[b1]Linda DeBrunner:
Modeling reconfiguration algorithms for regular architecture. Virginia Tech, Blacksburg, VA, USA, 1991
Journal Articles
- 2022
- [j12]Dingli Xue
, Linda S. DeBrunner, Victor E. DeBrunner, Zhen Huang:
Split-Radix Algorithm for the Discrete Hirschman Transform. IEEE Signal Process. Lett. 29: 199-203 (2022) - 2021
- [j11]Dingli Xue, Linda S. DeBrunner, Victor E. DeBrunner:
Reduced Complexity Optimal Convolution Based on the Discrete Hirschman Transform. IEEE Trans. Circuits Syst. I Regul. Pap. 68(5): 2051-2059 (2021) - 2020
- [j10]Dingli Xue, Linda S. DeBrunner, Victor E. DeBrunner:
On Computing the Discrete Hirschman Transform. IEEE Trans. Signal Process. 68: 6444-6452 (2020) - 2019
- [j9]Dingli Xue, Linda S. DeBrunner, Victor E. DeBrunner:
Linear Convolution Filter to Reduce Computational Complexity Based on Discrete Hirschman Transform. IEEE Signal Process. Lett. 26(12): 1935-1939 (2019) - 2011
- [j8]Rui Guo, Linda DeBrunner:
Two High-Performance Adaptive Filter Implementation Schemes Using Distributed Arithmetic. IEEE Trans. Circuits Syst. II Express Briefs 58-II(9): 600-604 (2011) - 2008
- [j7]Yunhua Wang, Linda DeBrunner, Victor E. DeBrunner, Dayong Zhou:
Blind Channel Equalization with Colored Source Based on Constrained Optimization Methods. EURASIP J. Adv. Signal Process. 2008 (2008) - 2007
- [j6]Dayong Zhou, Yunhua Wang, Victor E. DeBrunner, Linda DeBrunner:
Sub-band Implementation of Adaptive Nonlinear Filter for Adaptive Nonlinear Echo Cancellation. J. Multim. 2(2): 77-82 (2007) - 2004
- [j5]Victor E. DeBrunner, Linda DeBrunner, Longji Wang:
Sub-band adaptive filtering with delay compensation for active control. IEEE Trans. Signal Process. 52(10): 2932-2941 (2004) - 2001
- [j4]Victor E. DeBrunner, Linda DeBrunner, Sridhar Radhakrishnan, A. Kamal Khan:
The telecomputing laboratory: a multipurpose laboratory. IEEE Trans. Educ. 44(4): 302-310 (2001) - 2000
- [j3]Victor E. DeBrunner, Linda DeBrunner, Longji Wang, Sridhar Radhakrishnan:
Error Control and Concealment for Image Transmission. IEEE Commun. Surv. Tutorials 3(1): 2-9 (2000) - [j2]Gopal Racherla, Sridhar Radhakrishnan, L. S. DeBrunner:
Parameterization of efficient dynamic reconfigurable trees. J. Syst. Archit. 46(10): 951-954 (2000) - 1998
- [j1]M. D. Derk, L. S. DeBrunner:
Reconfiguration for Fault Tolerance Using Graph Grammars. ACM Trans. Comput. Syst. 16(1): 41-54 (1998)
Conference and Workshop Papers
- 2023
- [c39]Weiwei Wang, Victor E. DeBrunner, Linda S. DeBrunner:
Fast Convolution Algorithm for Real-Valued Finite Length Sequences. ICASSP 2023: 1-5 - [c38]Linda S. DeBrunner, Victor E. DeBrunner:
Engaging Students in an Introductory Circuits Course. ISCAS 2023: 1-5 - 2022
- [c37]Linda S. DeBrunner, Victor E. DeBrunner:
Hardware Performance of Complex Dot-Product Implementations. IEEECONF 2022: 141-144 - 2021
- [c36]Rajesh Thomas, Victor E. DeBrunner, Linda DeBrunner:
A Natively Real-Valued FFT Algorithm. ACSCC 2021: 908-912 - [c35]Victor E. DeBrunner, Linda S. DeBrunner:
IIR Filter Sensitivity Predicts Filter Wordlength. ACSCC 2021: 913-917 - 2020
- [c34]Rajesh Thomas, Victor E. DeBrunner, Linda DeBrunner:
How the Discrete Hirschman Transform Inherits its Eigenstructure from the DFT. ACSSC 2020: 858-862 - [c33]Victor E. DeBrunner, Linda S. DeBrunner:
How the Sampling Rate Impacts Wordlength Selection for FIR Filter Implementations. ACSSC 2020: 1291-1294 - 2019
- [c32]Dingli Xue, Victor E. DeBrunner, Linda S. DeBrunner:
Hardware Implementation of Discrete Hirschman Transform Convolution Using Distributed Arithmetic. ACSSC 2019: 1587-1590 - 2018
- [c31]Dingli Xue, Linda S. DeBrunner, Victor E. DeBrunner:
Hardware Implementation of Hirschman Optimal Transform Based on Distributed Arithmetic. ACSSC 2018: 1503-1506 - [c30]Rajesh Thomas, Victor E. DeBrunner, Linda DeBrunner:
Fixed-Point Implementation of Discrete Hirschman Transform. ACSSC 2018: 1507-1511 - 2017
- [c29]Alekhya Lakkadi, Linda S. DeBrunner:
Radix-4 modular pipeline fast Fourier transform algorithm. ACSSC 2017: 440-444 - [c28]Linda S. DeBrunner, Dewey Williams, Christopher Riker:
Truncated multiply-and-accumulate units for FIR filter implementation with reduced coefficient length. ACSSC 2017: 457-461 - [c27]Dingli Xue, Linda S. DeBrunner:
An effective hardware implementation of 1024-point linear convolution based on Hirschman Optimal Transform. ACSSC 2017: 1347-1350 - 2015
- [c26]Soumak Mookherjee, Linda DeBrunner, Victor E. DeBrunner:
A low power radix-2 FFT accelerator for FPGA. ACSSC 2015: 447-451 - 2014
- [c25]Soumak Mookherjee, Linda DeBrunner, Victor E. DeBrunner:
A high throughput and low power radix-4 FFT architecture. ACSSC 2014: 1266-1270 - 2013
- [c24]Soumak Mookherjee, Linda DeBrunner, Victor E. DeBrunner:
A hardware efficient technique for linear convolution of finite length sequences. ACSSC 2013: 515-519 - 2012
- [c23]Jarrod Brown, Clay Hughes, Linda DeBrunner:
Real-time hardware design for improving laser detection and ranging accuracy. ACSCC 2012: 1115-1119 - [c22]Soumak Mookherjee, Linda DeBrunner, Victor E. DeBrunner:
Hardware implementation of the Hirschman Optimal Transform. ACSCC 2012: 1448-1451 - [c21]Viswanadh Kandula, Linda DeBrunner, Victor E. DeBrunner, Michelle Rambo-Roddenberry:
Field testing of indirect displacement estimation using accelerometers. ACSCC 2012: 1868-1872 - 2011
- [c20]Rui Guo, Linda DeBrunner:
A novel adaptive filter implementation scheme using distributed arithmetic. ACSCC 2011: 160-164 - [c19]Viswanadh Kandula, Linda DeBrunner, Victor E. DeBrunner, Michelle Rambo-Roddenberry:
Estimating bridge displacement from acceleration using modal analysis and the minimum description length principle. ACSCC 2011: 1057-1061 - [c18]Rui Guo, Linda DeBrunner:
A novel fast canonical-signed-digit conversion technique for multiplication. ICASSP 2011: 1637-1640 - [c17]Kenny Johansson, Oscar Gustafsson, Linda DeBrunner, Lars Wanhammar:
Minimum adder depth multiple constant multiplication algorithm for low power FIR filters. ISCAS 2011: 1439-1442 - 2010
- [c16]Rui Guo, Linda DeBrunner, Kenny Johansson:
Truncated MCM using pattern modification for FIR filter implementation. ISCAS 2010: 3881-3884 - 2009
- [c15]Kenny Johansson, Oscar Gustafsson, Linda DeBrunner:
Estimation of the Switching Activity in Shift-and-add based Computations. ISCAS 2009: 3054-3057 - 2008
- [c14]Sean G. Patronis, Linda S. DeBrunner:
Sparse FIR filters and the impact on FPGA area usage. ACSCC 2008: 1862-1866 - 2007
- [c13]Yunhua Wang, Linda DeBrunner, Dayong Zhou, Victor E. DeBrunner:
A Novel Multiplierless Hardware Implementation Method for Adaptive Filter Coefficients. ICASSP (2) 2007: 57-60 - [c12]Yunhua Wang, Linda DeBrunner, Dayong Zhou, Victor E. DeBrunner:
A Multiplier Structure Based on a Novel Real-time CSD Recoding. ISCAS 2007: 3195-3198 - 2004
- [c11]Yunhua Wang, Linda DeBrunner, Victor E. DeBrunner, Dayong Zhou:
Quantization effect on phase response and its application to multiplierless ANC. ICASSP (5) 2004: 65-68 - 2003
- [c10]Xiaojuan Hu, Linda DeBrunner, Victor E. DeBrunner:
Design of space-efficient, wide- and narrow transition-band, FIR filters. ICASSP (2) 2003: 569-572 - [c9]Xiaojuan Hu, Linda DeBrunner, Victor E. DeBrunner:
Design of space-efficient, wide- and narrow transition-band, FIR filters. ICME 2003: 825-828 - 2002
- [c8]Longji Wang, Victor E. DeBrunner, Linda DeBrunner:
Sub-band adaptive filter structure without signal path delay for active control. ICASSP 2002: 4171 - [c7]Xiaojuan Hu, Linda DeBrunner, Victor E. DeBrunner:
An efficient design for FIR filters with variable precision. ISCAS (4) 2002: 365-368 - [c6]Amir Zia, Victor E. DeBrunner, Arulamani Chinnaswamy, Linda DeBrunner:
Multi-Resolution and Multi-Sensor Data Fusion for Remote Sensing in Detecting Air Pollution. SSIAI 2002: 9-13 - 2001
- [c5]Longji Wang, Victor E. DeBrunner, Linda DeBrunner:
Reducing the constructive interference by selective adaptation in the frequency domain. ICECS 2001: 1339-1342 - 2000
- [c4]Linda DeBrunner, Victor E. DeBrunner, Minghua Yao:
Edge-Retaining Asymptotic Projections onto Convex Sets for Image Interpolation. SSIAI 2000: 78-82 - 1999
- [c3]Victor E. DeBrunner, Linda DeBrunner, Longji Wang:
Recovery of lost blocks by dynamic pixel interleaving. ISCAS (4) 1999: 131-134 - 1996
- [c2]Victor E. DeBrunner, Linda DeBrunner, Sridhar Radhakrishnan, A. Kamal Khan:
The Telecomputing laboratory: a multipurpose facility used in DSP education at the University of Oklahoma. ICASSP 1996: 1117-1120 - 1994
- [c1]M. D. Derk, L. S. DeBrunner:
Reconfiguration Graph Grammar for Massively Parallel, Fault Tolerant Computers. TAGT 1994: 185-195
Coauthor Index
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