Nonlinear behavioral modeling of oscillators in VHDL-AMS using artificial neural networks

Digest of Papers - IEEE Radio Frequency Integrated Circuits Symposium

Volumn , Issue , 2008, Pages 689-692

  Kraemer, M ^a   Dragomirescu, D ^a   Plana, R ^a  

^a UNIVERSITÉ DE TOULOUSE   (France)

Author keywords

Artificial neural network; Behavioral modeling; Black box model; Oscillator; VHDL AMS

Indexed keywords

ALPHA PARTICLE SPECTROMETERS; ARTIFICIAL INTELLIGENCE; ASSET MANAGEMENT; BACKPROPAGATION; DIFFERENCE EQUATIONS; DIFFERENTIAL EQUATIONS; DIFFERENTIATION (CALCULUS); DIGITAL INTEGRATED CIRCUITS; ELECTRONICS INDUSTRY; INTEGRATED CIRCUITS; MICROWAVE DEVICES; MICROWAVES; NEURAL NETWORKS; OSCILLATORS (ELECTRONIC); PARTICLE SPECTROMETERS; PHASE NOISE; RADIO WAVES; VEGETATION;

A-STABLE; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; BEHAVIORAL MODELING; BLACK BOX MODEL; DYNAMIC BEHAVIORS; NON-LINEARITIES; OSCILLATOR; RADIO FREQUENCY INTEGRATED CIRCUITS; START UPS; STEADY-STATE BEHAVIORS; SYSTEM OF DIFFERENTIAL EQUATIONS; VHDL-AMS;

MICROWAVE OSCILLATORS;

EID: 51849165227     PISSN: 15292517     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/RFIC.2008.4561531     Document Type: Conference Paper

References (7)

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