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Keywords

CMOS Behavioural Simulation 28 nm FDSOI Bio-sensing acquisition Bandwidth Compressed Sensing Anti-alias filtering Receivers Long Term Evolution Linearity Allocation des ressources Feature selection WBAN Compressive sampling Attenuation Analytical models Non-Uniform Wavelet Sampling Analog-digital conversion Signal to noise ratio CAN Human activity recognition Amplificateur de puissance Amplificateur Amplificateur de Puissance Analog-to-Feature converter GSM 3G mobile communication Bandwidth Mismatch Error Analog CMOS circuit Compressibility Analog-to-Feature conversion Astrophysical signal Power demand Machine learning Frequency Smart sensors Backpropagation LCP Automated circuit sizing Cellular radio Adaptation models Filtering Non-uniform wavelet sampling Feature extraction Analog to information converter 5G Approximate derivative Body Biasing Activation function Neurons CMOS design All-digital feedforward calibration CS-NUS Analog Neural Network Quantization CNTFET Power Amplifier Analog-To-Feature converter Analog to digital conversion Analog IC design A/D converters Sensors Cognitive radio Quantization signal Capacité commutées Base de parcimonie Adaptive sampling Bit error rate Amplifier Apprentissage automatique ADCs Assembly Analog to digital converter ADC Bandpass charge sampling Sampling methods Digital filters Bootstrap Filters HBC Low power Arrhythmia detection Baseband Training Astrophysical signals Analog neural networks Broadband networks Wideband 5G wireless communications Dynamic range Amplitude Calibration Analog-to-feature converter Adaptive digital predistortion Clocks Channel modeling ADC CSD Architecture parallèle CMOS implementation Capteurs intelligents NUS

 

 

 

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143

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