system identification

October - Sensing and Monitoring

END-TO-END DEEP LEARNING-BASED ADAPTATION CONTROL FOR FREQUENCY-DOMAIN ADAPTIVE SYSTEM IDENTIFICATION

LMS AND NLMS ALGORITHMS FOR THE IDENTIFICATION OF IMPULSE RESPONSES WITH INTRINSIC SYMMETRIC OR ANTISYMMETRIC PROPERTIES

TOWARDS FASTER CONTINUOUS MULTI-CHANNEL HRTF MEASUREMENTS BASED ON LEARNING SYSTEM MODELS

Decomposition-Residuals Neural Networks: Hybrid System Identification Applied to Electricity Demand Forecasting