Bernard Widrow

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Bernard Widrow is affiliated with the following schools: Stanford University, Massachusetts Institute of Technology

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Bernard Widrow

Computer Science

#171

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#178

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#103

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Machine Learning

#50

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#50

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#18

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Artificial Intelligence

#93

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#96

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#43

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computer-science Degrees

Bernard Widrow

Philosophy

#975

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#1871

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#416

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#142

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#328

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#63

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Computer Science
Philosophy

Bernard Widrow's Degrees

PhD Electrical Engineering Stanford University
Masters Electrical Engineering Stanford University

Why Is Bernard Widrow Influential?

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According to Wikipedia, Bernard Widrow is a U.S. professor of electrical engineering at Stanford University. He is the co-inventor of the Widrow–Hoff least mean squares filter adaptive algorithm with his then doctoral student Ted Hoff. The LMS algorithm led to the ADALINE and MADALINE artificial neural networks and to the backpropagation technique. He made other fundamental contributions to the development of signal processing in the fields of geophysics, adaptive antennas, and adaptive filtering. A summary of his work is.

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Bernard Widrow's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Adaptive noise cancelling: Principles and applications (1975) (3970)
Adaptive Signal Processing (1985) (3620)
Adaptive switching circuits (1988) (2414)
30 years of adaptive neural networks: perceptron, Madaline, and backpropagation (1990) (2365)
Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights (1990) (1511)
Stationary and nonstationary learning characteristics of the LMS adaptive filter (1976) (1448)
Adaptive antenna systems (1967) (1322)
Neural networks for self-learning control systems (1990) (947)
Adaptive inverse control (1987) (771)
The complex LMS algorithm (1975) (685)
Neural networks: applications in industry, business and science (1994) (593)
The truck backer-upper: an example of self-learning in neural networks (1989) (571)
The least mean fourth (LMF) adaptive algorithm and its family (1984) (540)
Neural nets for adaptive filtering and adaptive pattern recognition (1988) (501)
Statistical theory of quantization (1996) (489)
Least-mean-square adaptive filters (2003) (475)
The basic ideas in neural networks (1994) (464)
Layered neural nets for pattern recognition (1988) (375)
Quantization Noise: Roundoff Error in Digital Computation, Signal Processing, Control, and Communications (2008) (335)
Signal cancellation phenomena in adaptive antennas: Causes and cures (1982) (326)
Punish/Reward: Learning with a Critic in Adaptive Threshold Systems (1973) (307)
Statistical analysis of amplitude-quantized sampled-data systems (1961) (279)
Adaptive filtering in the frequency domain (1978) (278)
A Study of Rough Amplitude Quantization by Means of Nyquist Sampling Theory (1956) (273)
A comparison of adaptive algorithms based on the methods of steepest descent and random search (1976) (271)
Sensitivity of feedforward neural networks to weight errors (1990) (228)
Least-Mean-Square Adaptive Filters: Haykin/Least-Mean-Square Adaptive Filters (2005) (182)
On the statistical efficiency of the LMS algorithm with nonstationary inputs (1984) (173)
Generalization and information storage in network of adaline 'neurons' (1962) (160)
The No-Prop algorithm: A new learning algorithm for multilayer neural networks (2013) (157)
Application of neural networks to load-frequency control in power systems (1994) (152)
On the Nature and Elimination of Stimulus Artifact in Nerve Signals Evoked and Recorded Using Surface Electrodes (1982) (151)
Adaptive Inverse Control: A Signal Processing Approach (2007) (123)
The time-sequenced adaptive filter (1981) (102)
Fundamental relations between the LMS algorithm and the DFT (1987) (95)
Multichannel adaptive filtering for signal enhancement (1981) (82)
A variable leaky LMS adaptive algorithm (2004) (79)
The "Rubber-Mask" Technique I. Pattern Measurement and Analysis (1973) (79)
Thinking about thinking: the discovery of the LMS algorithm (2005) (77)
Predicting respiratory tumor motion with multi-dimensional adaptive filters and support vector regression (2009) (77)
A microphone array for hearing aids (2000) (70)
A New Model for Calculating the Input Impedance of Coax-Fed Circular Microstrip Antennas with and Without Air Gaps (1990) (69)
Cognitive Intelligence: Deep Learning, Thinking, and Reasoning by Brain-Inspired Systems (2016) (68)
Adaptive signal processing for adaptive control (1983) (67)
Microphone arrays for hearing aids: An overview (2003) (65)
MADALINE RULE II: a training algorithm for neural networks (1988) (62)
ECG Enhancement by Adaptive Cancellation of Electrosurgical Interference (1983) (61)
Perspectives on the Field of Cognitive Informatics and its Future Development (2011) (59)
An adaptive 'broom balancer' with visual inputs (1988) (55)
Truck backer-upper: an example of self-learning in neural networks (1990) (50)
Associative Storage and Retrieval of Digital Information in Networks of Adaptive “Neurons” (1962) (48)
Nonlinear adaptive inverse control (1997) (44)
New Trends of Learning in Computational Intelligence [Guest Editorial] (2015) (43)
Appendix G: Thirty Years of Adaptive Neural Networks: Perceptron, Madaline, and Backpropagation (2008) (40)
Parallel spatial processing: A cure for signal cancellation in adaptive arrays (1986) (40)
Neural dynamic optimization for control systems.II. Theory (2001) (36)
Pattern Recognition and Adaptive Control (1964) (36)
The "rubber-mask" technique - I. Pattern measurement and analysis (1973) (36)
Perceptrons, adalines, and backpropagation (1998) (35)
On the statistical efficiency of the LMS family of adaptive algorithms (2003) (35)
Comments on "An adaptive recursive LMS filter" (1977) (34)
Adaptive inverse control based on linear and nonlinear adaptive filtering (1996) (34)
Design and Validation of a Periodic Leg Movement Detector (2014) (34)
Adaptive Cancellation of Floor Vibrations in Standing Ballistocardiogram Measurements Using a Seismic Sensor as a Noise Reference (2010) (34)
Statistical efficiency of adaptive algorithms (2003) (33)
Adaptive neural networks and their applications (1993) (33)
Neural Dynamic Optimization for Control Systems — Part II : Theory (2001) (33)
Adaptive design of digital filters (1981) (31)
"Cognitive" memory (2013) (30)
Birth, Life, and Death in Microelectronic Systems (1961) (29)
Use of drill-bit energy as downhole seismic source (1989) (28)
Adaptive sampled-data systems (1960) (28)
Neural dynamic optimization for control systems. I. Background (2001) (28)
New Trends of Learning in Computational Intelligence (Part II) [Guest Editorial] (2015) (28)
Quantization Noise: A Few Properties of Selected Distributions (2008) (27)
Abstract Intelligence: Embodying and Enabling Cognitive Systems by Mathematical Engineering (2017) (25)
Neural dynamic optimization for control systems.III. Applications (2001) (25)
The "Rubber-Mask" Technique II. Pattern Storage and Recognition (1973) (24)
Adaptive line enhancement and spectrum analysis (1977) (23)
On the advantages of the LMS spectrum analyzer over nonadaptive implementations of the sliding-DFT (1995) (22)
Adaptive Inverse Control Based on Nonlinear Adaptive Filtering (1998) (21)
The Hebbian-LMS Learning Algorithm (2015) (21)
The "rubber-mask" technique-II. Pattern storage and recognition (1973) (19)
Principles and Applications of Adaptive Filters: A Tutorial Review, (1977) (19)
THE TRUCK BACKER-UPPER (1990) (17)
A Critical Comparison of Two Kinds of Adaptive Classification Networks (1965) (16)
Neural Dynamic Optimization for Control Systems — Part I : Background (2001) (15)
ARTIFICIAL NEURAL NETWORKS OF THE PERCEPTRON, MADALINE, AND BACKPROPAGATION FAMILY (1993) (14)
Adaptive Model Control Applied to Real-Time Blood-Pressure Regulation (1971) (13)
Bandpass adaptive pole-zero filtering (1986) (13)
Adaptive Signal Processing edited by Bernard Widrow and Samuel D. Stearns (1986) (12)
Exploiting the harmonic structure for speech enhancement (2012) (11)
Cognitive Informatics: Towards Cognitive Machine Learning and Autonomous Knowledge Manipulation (2018) (11)
Neurointerfaces (2002) (11)
Cognitive Memory: Human Like Memory (2010) (11)
A radio-frequency nondestructive readout for magnetic-core memories (1954) (11)
Assessment of the efficiency of the LMS algorithm based on spectral information (2004) (10)
Quantization Noise: Frontmatter (2008) (10)
Nature's Learning Rule: The Hebbian-LMS Algorithm (2018) (9)
Two-layer Linear Structures for Fast Adaptive Filtering (1995) (9)
Recollections of Norbert Wiener and the first IFAC World Congress (2001) (8)
Noise canceling and channel equalization (1998) (8)
On the Efficiency of Adaptive Algorithms (2005) (8)
Learning algorithms for adaptive processing and control (1993) (8)
Quantization Noise: Quantization of System Parameters (2008) (7)
A unified framework for 3D radiation therapy and IMRT planning: plan optimization in the beamlet domain by constraining or regularizing the fluence map variations (2010) (7)
Optimal terminal control using feedforward neural networks (1993) (7)
A review of adaptive antennas (1979) (6)
Analysis of amplitude-quantized sampled-data systems (1961) (6)
On the statistical efficiency of LMS algorithms (2004) (6)
Nonlinear control with neural networks (1995) (6)
CHALLENGES IN ENGINEERING EDUCATION OF COGNITIVE DYNAMIC SYSTEMS (2012) (6)
Accelerating the convergence of the LMS adaptive algorithm (2005) (6)
Reply to the Comments on the "No-Prop" algorithm (2013) (6)
Scaled stochastic methods for training neural networks (1996) (5)
Directional hearing aid (1988) (5)
Dithering for Floating-Point Number Representation (2005) (5)
Neurointerfaces for semi-autonomous object moving systems (1999) (5)
Perspectives on cognitive informatics and its future development: Summary of plenary panel II of IEEE ICCI'10 (2010) (5)
First-Order Gradient Descent Training of Adaptive Discrete-Time Dynamic Networks (1991) (5)
Hebbian learning and the LMS algorithm (2016) (5)
Backpropagation through links: a new approach to kinematic control of serial manipulators (1995) (5)
Cognitive memory: Human and machine (2009) (4)
Analysis of continuous diaphragm electromyographic signal: Results from a patient with amyotrophic lateral sclerosis (2011) (4)
A General Theory of Adaptivity and Homeostasis in the Brain and in the Body (2021) (3)
Appendix A: Stability and Misadjustment of the LMS Adaptive Filter (2008) (3)
Effects of Quantization in Adaptive Processes. A Hybrid Adaptive Processor. (1971) (3)
Special Issue on Speech Processing for Hearing Aids (2003) (3)
Neurointerfaces for Human-Machine Real Time Interaction (1998) (3)
Cognitive memory and its applications (2010) (3)
Seismic exploration method and apparatus for cancelling interference from seismic vibration source (1986) (3)
Rate of Adaptation in Control Systems (1962) (3)
REAL-TIME BLOOD-PRESSURE REGULATION (1971) (2)
Single Channel Speech Enhancement Using Outlier Detection (2016) (2)
The Adaptive Inverse Control Concept (2008) (2)
Nature's Learning Rule (2018) (2)
Simple Algorithms for Fast Adaptive Filtering (1993) (2)
Quantization Noise: Spectrum of Quantization Noise and Conditions of Whiteness (2008) (2)
MultipleInput MultipleOutput (MIMO) Adaptive Inverse Control Systems (2008) (2)
Neurointerfaces: principles (2000) (2)
Quantization Noise: Dither (2008) (2)
Correction: Design and Validation of a Periodic Leg Movement Detector (2015) (2)
Neurointerfaces: applications (2000) (1)
Recent Breakthroughs in Cognitive Informatics and Cognitive Computing towards Autonomous AI (Plenary Panel Report-I of IEEE ICCI*CC'22) (2022) (1)
Quantization Noise: Roundoff Errors in Nonlinear Dynamic Systems –A Chaotic Example (2008) (1)
Quantization Noise: Basics of Floating–Point Quantization (2008) (1)
Adaptive Superresolution Phenomena In Aberrant Arrays (1985) (1)
Inverse Plant Modeling (2008) (1)
IEEE ICCI*CC Series in Year 20: Latest Advances in Cognitive Informatics and Cognitive Computing towards General AI (Plenary Panel Report-I) (2021) (1)
An adaptive neural net controller with visual inputs (1988) (1)
Adaptive Filtering in the Frequency Domain Using the Complex LMS Algorithm. (1978) (1)
Adaptive LMS Filters (2008) (1)
Quantization Noise: Roundoff Noise in FIR Digital Filters and in FFT Calculations (2008) (1)
Quantization Noise: Introduction (2008) (1)
Cognitive Processing Hardware Elements (2005) (0)
Derivatives of the Sinc Function (2008) (0)
Quantization Noise: Digital Dither (2008) (0)
Learning algorithms in neural networks (1988) (0)
The1985EASCONprogram wasasubstantial departure C.McFarlane, Assistant tothePresident forNational Secu- fromprevious EASCONConferences. Thethemeof rity Affairs; Senator Slade Gorton (R-Washington); James EASCON-85wasNational Space Strategy: A Progress Re- M.Beggs, Administrator ofNASA;andGeneral Robe (1986) (0)
Stanford neural network research (1993) (0)
Assesment of the efficiency of the LMS algorithm based on spectral information (Invited Paper) (2004) (0)
Research on algorithms for adaptive array antennas (1982) (0)
LIST OF CONTRIBUTORS (in alphabetical order) (1993) (0)
Glossary of Symbols (2008) (0)
Quantization Noise: The First Paper on Sampling–Related Quantization Theory (2008) (0)
An apparatus and method for determining the positions of seismic bölgereflekterende geological information in the soil (1988) (0)
Spectral Effects on the Rate of Convergence of the LMS Adaptive Algorithm (2005) (0)
Research on large adaptive arrays (1979) (0)
Appendix C: A Comparison of the SelfTuning Regulator of strm and Wittenmark with the Techniques of Adaptive Inverse Control (2008) (0)
News CSS Centennial Medal Recipients The staff of IEEE Control System Magazine would like to congratulate the CSS recipients of the 1984 IEEE Centennial Medal Award. The list below are the CSS Centennial Medalists. (1984) (0)
Quantization Noise: Quantization of Two or More Variables: General Statistical Relations among the Quantization Noises, and the Quantizer Inputs and Outputs (2008) (0)
PAPERS ON ADAPTIVE SYSTEMS (1962) (0)
United States Patent ( 19 ) Gardner et al . ( 54 ) SELF-COHERENCE RESTORING SIGNAL EXTRACTION (2017) (0)
Neurointerfaces: Learning by Genetic Algorithms (1999) (0)
Testing the Magnetic-Core Memory System in a Computer (1953) (0)
Review of “ Adaptive Inverse Control – A SIGNAL PROCESSING APPROACH (2008) (0)
Appendix E: Orthogonalizing Adaptive Algorithms: RLS, DFT/LMS, and DCT/LMS (2008) (0)
WE‐D‐T‐6E‐07: Incorporating Clinical Outcome Data Into IMRT Inverse Planning (2005) (0)
Quantization of Two or More Variables: Statistical Analysis of the Quantizer Output (2008) (0)
Development of neural network controllers for power industry applications. Volume 1, Final report (1995) (0)
Appendix D: Adaptive Inverse Control for Unstable Linear SISO Plants (2008) (0)
Quantization Noise: Cascades of Fixed–Point and Floating–Point Quantizers (2008) (0)
Quantization Noise: General Expressions of the Moments of the Quantizer Output, and of the Errors of Sheppard's Corrections (2008) (0)
Stanford neural network research (1993) (0)
Quantization Noise: Statistical Analysis of the Quantizer Output (2008) (0)
Editorial: Celebrating 30 Years of IJNS and the Next Industrial Revolution (2021) (0)
Research on Adaptive Antenna Techniques III. Part 1. The Soft Constrained LMS Algorithm. Part 2. An Improved Adaptive Separator. (1979) (0)
Optimization of Three-dimensional Treatment Plan in Beamlet Domain by Applying Spatial Variation Constraint of the Fluence Maps and by Compressed Sensing Method (2010) (0)
Punish/Reward: Learningwith a Criticin (1973) (0)
Appendix F: A MIMO Application: An Adaptive NoiseCanceling System Used for Beam Control at the Stanford Linear Accelerator Center (2008) (0)
Crosscorrelations between Quantization Noise, Quantizer Input, and Quantizer Output (2008) (0)
Neural Networks Communication Processor (2010) (0)
Plant Disturbance Canceling (2008) (0)
Memory-based Adaptive System Control with an example of Double Inverted Pendulum (2012) (0)
Quantization of Two or More Variables: Statistical Analysis of Quantization Noise (2008) (0)
Quantization Noise: Proofs of Quantizing Theorems III and IV (2008) (0)
Quantization Noise: Roundoff Noise in Digital Feedback Control Systems (2008) (0)
Research on Adaptive Antenna Techniques V. (1983) (0)
The Back-Prop and No-Prop Training Algorithms (2015) (0)
Algorithm Investigation for Large Adaptive Arrays. (1980) (0)
Noise Subtracting Filter Study. (1973) (0)
Quantization Noise: Bibliography (2008) (0)
Isolated word recognition based on the adaptive neural network (1988) (0)
Quantization Noise: Sampling Theory (2008) (0)
Abstract Intelligence (2020) (0)
アダプティブ・フィルタと適応型パタ-ン認識のためのニュ-ラル・ネット (1988) (0)
IEEE - CIS (EXCOM and ADCOM) (2005) (0)
Quantization Noise: Probability Density Functions, Characteristic Functions, and Moments (2008) (0)
Gossiping Nets (1999) (0)
Cognitive Intelligence (2020) (0)
Synthesis and Analysis of Adaptive Array Processors. Part I. Adaptive Least Squares Optimization Subject to Linear Equality Constraints. Part II. Adaptive Estimation in Nonstationary Environments. (1970) (0)
SU‐GG‐T‐125: Optimization of Three‐Dimensional Treatment Plan in Beamlet Domain by Applying Spatial Variation Constraint of the Fluence Maps and by Compressed Sensing Method (2010) (0)
Quantization Noise: Statistical Analysis of the Quantization Noise (2008) (0)
Limits of Applicability of the Theory — Caveat Reader (2008) (0)
General Statistical Relations among the Quantization Noise, the Quantizer Input, and the Quantizer Output (2008) (0)
Quantization Noise: Calculation of Moments and Correlation Functions of Quantized Gaussian Variables (2008) (0)
Quantization Noise: Some Properties of the Gaussian PDF and CF (2008) (0)
Quantization Noise: Quantization of a Sinusoidal Input (2008) (0)
Other Configurations for Adaptive Inverse Control (2008) (0)
Roundoff Noise in Scientific Computations (2008) (0)
On the Nonuniqueness of Equivalent Current Sheets Supporting Discontinuous Electromagnetic Fields (1992) (0)
Workshop on Digital Signal and Waveform Analysis (1980) (0)
Special issue. (2020) (0)
More on Floating–Point Quantization (2008) (0)
Cybernetics 2.0 (2022) (0)
Quantization Noise: Perfectly Bandlimited Characteristic Functions (2008) (0)
Application of the Methods of Appendix G to Distributions other than Sinusoidal (2008) (0)
Application of neural networks to signal processing and control problems (1990) (0)
Quantization Noise: Simulating Arbitrary–Precision Fixed–Point and Floating–Point Roundoff in Matlab (2008) (0)
Appendix B: Comparative Analyses of Dither Modeling Schemes A, B, and C (2008) (0)
Roundoff Noise in IIR Digital Filters (2008) (0)
Appendices A The Delta Rule of Backpropagation (2007) (0)
Wearable Sparse-Conformal-Acoustic-Networks for Tracking and ID of Urban Targets (CD-ROM) (2004) (0)
Research on algorithms for adaptive antenna arrays (1981) (0)
Quantization Noise: Coefficient Quantization (2008) (0)
Introduction (2014) (0)
Appendix H: Neural Control Systems (2008) (0)
Quantization Noise: Preface (2008) (0)
inear Adaptive Inverse Control (1997) (0)

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What Schools Are Affiliated With Bernard Widrow?

Bernard Widrow is affiliated with the following schools:

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Bernard Widrow's Degrees

Why Is Bernard Widrow Influential?

Bernard Widrow's Published Works

Published Works

Other Resources About Bernard Widrow

What Schools Are Affiliated With Bernard Widrow?

Bernard Widrow's AcademicInfluence.com Rankings