Contextual modeling of audio signals toward information retrieval 

Data-driven methods in description-based approaches to audio information processing 

Source-specific learning and binaural cues selection techniques for audio source separation 

Automatic quantification and prediction of human subjective judgments in behavioral signal processing 

Classification and retrieval of environmental sounds 

Digital signal processing techniques for music structure analysis 

Noise benefits in nonlinear signal processing 

Biologically inspired auditory attention models with applications in speech and audio processing 

Behavioral signal processing: computational approaches for modeling and quantifying interaction dynamics in dyadic human interactions 

Kustom Signals. H.A.W.K. traffic safety radar, 1991-04 

Andrew J. Viterbi, "Signal Processing Challenges in Wireless Multiple Access." 

Andrew J. Viterbi, "Signal Processing Challenges in Wireless Multiple Access, Abstract." 

Compression of signal on graphs with the application to image and video coding 

Statistical enhancement methods for immersive audio environments and compressed audio 

Are jokes funnier when they’re easier to process? 

Efficient transforms for graph signals with applications to video coding 

Statistical inference for dynamical, interacting multi-object systems with emphasis on human small group interactions 

Andrew J. Viterbi, "Wireless Digital Communication: A Signal Processing Perspective." 

1994 IEEE Workshop on VLSI Signal Processing, October 26-28, 1994, La Jolla, CA, Final Call for Papers. 

Behavior understanding from speech under constrained conditions: exploring sparse networks, transfer and unsupervised learning 

Program and Registration Form for the 1994 IEEE Workshop on VLSI Signal Processing, La Jolla, CA, October 26-28, 1994. 

Andrew J. Viterbi, "Wireless Digital Communication: A Signal Processing Perspective." Abstract 

Nonuniform sampling and digital signal processing for analog-to-digital conversion 

Advanced features and feature selection methods for vibration and audio signal classification 

Scalable sampling and reconstruction for graph signals