We describe ongoing work which aims to extend the schema-based program synthesis paradigm with explicit models. In this context, schemas can be considered as model-to-model transf...
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
Pure frequency-based audio fingerprint systems have the capacity of handling very short fingerprints while being highly robust to perturbations such as additive noise or compressi...
This paper presents a new approach to rejection of sinusoidal disturbances acting at the output of a discrete-time complexvalued linear stable plant (e.g. acoustic channel) with u...
In this paper, following the Compressed Sensing (CS) paradigm, we study the problem of recovering sparse or compressible signals from uniformly quantized measurements. We present ...