Results 211 to 220 of about 67,475 (266)
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The Journal of the Acoustical Society of America, 1980
The signal from the crossover network of an audio output circuit is applied to certain of the audio system's low, middle and high frequency speakers through particular compensation circuits that are associated with the crossover network and the speaker driver coils. These compensation networks include: a resistor-inductor-capacitor sequence of selected
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The signal from the crossover network of an audio output circuit is applied to certain of the audio system's low, middle and high frequency speakers through particular compensation circuits that are associated with the crossover network and the speaker driver coils. These compensation networks include: a resistor-inductor-capacitor sequence of selected
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A neural network delay compensator for networked control systems
2008 IEEE International Conference on Emerging Technologies and Factory Automation, 2008This paper presents a neural network implementation of the delay compensator to reduce the variable sampling to actuation delay effects in networked control systems. The compensator action is based on the knowledge of the sampling to actuation delay affecting the system and the control signal.
Ana Antunes +2 more
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Compensation network for loudspeakers
The Journal of the Acoustical Society of America, 1985Passive frequency compensation networks are disclosed which extend and smooth the base response of loudspeakers. The compensation networks include a series resonant circuit including a resistor, inductor and capacitor with the voice coil of the loudspeaker connected in parallel with the resistor and inductor.
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A neural network compensator for uncertainties of robotic manipulators
29th IEEE Conference on Decision and Control, 1990A neural network controller for trajectory control of robotic manipulators that is used not to internalize the inverse dynamic model of the controlled object but to compensate only the uncertainties of the robotic manipulator is presented. Its performance is compared with that of the conventional adaptive scheme.
Akio Ishiguro +3 more
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Support Vector Networks in Adaptive Friction Compensation
IEEE Transactions on Neural Networks, 2007This paper presents our research on how support vector regression (SVR) and parametric adaptive learning, which are normally used independently, can be exploited together to benefit adaptive neural control. In the context of friction compensation for servo-motion control systems, we present the notion of support vector networks which play an essential ...
Guoli Wang 0001 +2 more
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Nonlinear Impairment Compensation Using Neural Networks
Optical Fiber Communication Conference (OFC) 2021, 2021Neural networks are attractive for nonlinear impairment compensation applications in communication systems. In this paper, several approaches to reduce computational complexity of the neural network-based algorithms are presented.
Shinsuke Fujisawa +10 more
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Peer group ties and executive compensation networks
Social Science Research, 2011Publicly traded firms in the US typically determine C.E.O. compensation by benchmarking the pay of their C.E.O.s against the pay of C.E.O.s in "peer" firms. Consequently, executive compensation is influenced not only by firm-level characteristics, but also by the selection and actions of the firm's immediate peers as well as by the structure of the ...
Matthew, Pittinsky, Thomas A, Diprete
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Deep Network Quantization via Error Compensation
IEEE Transactions on Neural Networks and Learning Systems, 2022For portable devices with limited resources, it is often difficult to deploy deep networks due to the prohibitive computational overhead. Numerous approaches have been proposed to quantize weights and/or activations to speed up the inference. Loss-aware quantization has been proposed to directly formulate the impact of weight quantization on the model ...
Hanyu Peng +4 more
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Aeromagnetic compensation using neural networks
Neural Computing & Applications, 1993Airborne magnetic surveys in geophysical exploration can be subject to interference effects from the aircraft. Principal sources are the permanent magnetism of various parts of the aircraft, induction effects created by the earth's magnetic field and eddy-current fields produced by the aircraft's manoeuvres.
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Demodulator compensating networks
2012This thesis deals with the study of some demodulator lead-lag networks. Specifically the problem has involved analysis and design, accompanied by experimental verification of a new approach to the realization of phase-lead and phase-lag networks for application in ac servomechanisms.
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