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Dominique Dallet
Also published under:D. Dallet, Domonique Dallet
Affiliation
IMS, UMR 5218, CNRS, Bordeaux INP, University of Bordeaux, Talence, France
Topic
Analog-to-digital Converter,Input Signal,Decoding,Dynamic Range,Frequency Content,Memory Effect,Model Identification,Signal Frequency,Successive Interference Cancellation,Time Domain,Time Synchronization,Waveform,12-bit Resolution,Accuracy Of Model,Air Control,Airport,Analog Domain,Analog Signal,Antenna Array,Attenuation,Attenuation Level,Automatic Dependent Surveillance-broadcast,Automatic Gain Control,Average Accuracy,Behavioral Model,Binary Data,Boolean Logic,Co-channel Interference,Complex Envelope,Complex Gain,Compression Phase,Computational Complexity,Constrained Environments,Cyclic Redundancy Check,Decision Boundary,Decision Tree,Denoising,Detection Probability,Detection Process,Detection Step,Digital Delay,Digital Domain,Digital Filter,Digital Input,Digital Signal,Dimensionality Reduction,Distortion Model,Division Ratio,Electrical Activity,Entire Task,
Biography
Dominique Dallet (M'96) received the Ph.D. degree in electrical engineering in 1995 from the University of Bordeaux, France, where he is currently a Professor at the Electronic Engineering School of Bordeaux (ENSEIRB).
His main research activities, carried out at the IMS laboratory, focus on mixed-signal circuit design and testing, digital and analog signal processing, and programmable devices' applications. His interests include also digital design and its application in BIST structures for the characterization of embedded A/D converters, as well as digital signal processing applied to nondestructive techniques based on time–frequency representation.
His main research activities, carried out at the IMS laboratory, focus on mixed-signal circuit design and testing, digital and analog signal processing, and programmable devices' applications. His interests include also digital design and its application in BIST structures for the characterization of embedded A/D converters, as well as digital signal processing applied to nondestructive techniques based on time–frequency representation.