0 and p. At any given time, a randomly selected agent is activated and performs computation to optimize its local objective. Such distributed computation model has been popular in large-scale machine learning and signal processing (6). Such model is also closely related to the (centralized) stochastic finite-sum optimization problem (14; 9; 13; 21; 1; 22), in which each time the iterate is upda...

Signal processing algorithms are the hidden components in audio processor that converts received acoustic signal into electrical impulses while maintaining as much relevant information possible. should be smart enough to mimic functionality of external, middle and inner-ear provide cochlear implant (CI) user with a hearing experience natural Modern sound strategies based on continuous interleav...

• Massive MIMO prototype  64 Antenna array supported by 16 ExpressMIMO2 cards  Centralized high end computing engine • Massive MIMO key challenges  Acquisition of channel information at transmitter (CSIT);  Pilot contamination;  Fast and distributed coherent signal processing;  Hardware impairment, etc. • Time Division Duplexing (TDD)  Use TDD channel reciprocity for massive MIMO to ease...