The section of Signal and Information Processing embraces a wide range of scientists, active both in fundamental, theoretical, experimental, and applied sciences. Often this imply algorithm design, scientific computing, methodologies for real-time and resource optimal implementation and measurements to end-user testing. Sometimes a dedicated effort investigates one of these steps in a specific context in greater detail.
A wide range of efforts relate to contemporary technology platforms, their architecture and system integration, and what mathematical models and programming to apply to ensure best performance in whatever design criteria deemed most critical for the application at hand. Ongoing efforts relate to algorithms for live music streaming, sensor systems in e.g. wind turbines, and control of array systems in reproduced sound. Ongoing efforts also include sparse signal processing, particularly in relation to imaging, analog-to-digital conversion, and wireless communication.
A wide range of efforts relate to the acoustics, sound, audio, human sound perception, and hearing. A unique experience in the field of low frequency sound, spatial hearing and sound field control, and sound quality assessments exists. Ongoing efforts include studies of the risk of hearing damage, audiological measurements, weighting principles, and qualities of reproduced sound, loudspeaker models and earphone performance. Ongoing efforts also relate to hearing aids technology, embedded signal processing, clinical use, and more.
A wide range of ongoing efforts relate to human-computer interaction, including social robots, their users, contexts, and future options. A unique experience exists in the field of spoken dialogues, machine learning, communication platforms, and ongoing efforts include privacy considerations, user experience, options for relations between robots and users, and reinforcement fusion in advanced multimodal strategies.