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» Signal Processing in Large Systems: a New Paradigm
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SERP
2004
13 years 9 months ago
Combining Model-Driven and Schema-Based Program Synthesis
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...
Ewen Denney, Jon Whittle
ICASSP
2011
IEEE
12 years 11 months ago
Denoising sparse noise via online dictionary learning
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...
Anoop Cherian, Suvrit Sra, Nikolaos Papanikolopoul...
ICASSP
2010
IEEE
13 years 2 months ago
Robust frequency-based Audio Fingerprinting
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...
Elsa Dupraz, Gaël Richard
ICASSP
2009
IEEE
14 years 2 months ago
Self-optimizing scheme for active noise and vibration control
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...
Maciej Niedzwiecki, Michal Stanislaw Meller
ICIP
2009
IEEE
14 years 9 months ago
Dequantizing Compressed Sensing With Non-gaussian Constraints
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 ...