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- Bernard Widrow, J S Glover, +6 authors R Goodlin
- Proceedings of the IEEE
- 1975

This paper describes the concept of adaptive noise cancelling, an alternative method of estimating signals corrupted by additive noise or interference. The method uses a "primary" input containingâ€¦ (More)

Fundamental developments in feedfonvard artificial neural networks from the past thirty years are reviewed. The central theme of this paper is a description of the history, origination, operatingâ€¦ (More)

- Bernard Widrow, J.M. McCool, M. Larimore, C. Richard Johnson
- Proceedings of the IEEE
- 1976

This paper describes the performance characteristics of the LMS adaptive filter, a digital filter composed of a tapped delay line and adjustable weights, whose impulse response is controlled by anâ€¦ (More)

- Eugene Walach, Bernard Widrow
- IEEE Trans. Information Theory
- 1984

New steepest descent algorithms for adaptive filtering and have been devised which allow error minimization in the mean fourth and mean sixth, etc., sense. During adaptation, the weights undergoâ€¦ (More)

- Derrick Nguyen, Bernard Widrow
- IJCNN
- 1990

A two-layer neural network can be used to approximate any nonlinear function. T h e behavior of the hidden nodes tha t allows the network to do this is described. Networks w i th one input areâ€¦ (More)

- Bernard Widrow, Eugene Walach
- ICASSP
- 1984

A few of the well established methods of adaptive signal processing are modified and extended for application to adaptive control. An unknown plant will track an input command signal if the plant isâ€¦ (More)

- Bernard Widrow, Istvhn KollL, Ming-Chang Liu
- 1996

The effect of uniform quantization can often be modeled by an additive noise that is uniformly distributed, uncorrelated with the input signal, and has a white spectrum. This paper surveys the theoryâ€¦ (More)

- D. Nguyen, Bernard Widrow
- International 1989 Joint Conference on Neuralâ€¦
- 1989

Neural networks can be used to solve highly nonlinear control problems. A two-layer neural network containing 26 adaptive neural elements has learned to back up a computer-simulated trailer truck toâ€¦ (More)

- Bernard Widrow, J.M. McCool, Michael Ball
- Proceedings of the IEEE
- 1975

A least-mean-square (LMS) adaptive algorithm for complex signals is derived. The original Widrow-Hoff LMS algorithm is W<inf>j+l</inf>= W<inf>j</inf>+ 2ÂµÎµjX<inf>j</inf>. The complex form is shown toâ€¦ (More)

A system consisting of an antenna array and an adaptive processor can perform filtering in both the space and the frequency domains, thus reducing the sensitivity of the signal-receiving system toâ€¦ (More)