A principal problem of auditory scene analysis is stream segregation: decomposing an input acoustic signal into signals of individual sound sources included in the input. While ex...
When dealing with signals from complex environments, where multiple time-dependent signal signatures can interfere with each other in stochastically unpredictable ways, traditiona...
We introduce the notion of energy scalable computation on general purpose processors. The principle idea is to maximize computational quality for a given energy constraint. The de...
High level modeling and (quantitative) performance analysis of signal processing systems requires high level models for the applications(algorithms) and the implementations (archi...
Ed F. Deprettere, Edwin Rijpkema, Paul Lieverse, B...
Real-time performance of adaptive digital signal processing algorithms is required in many applications but it often means a high computational load for many conventional processor...
Abstract. To handle signal processing algorithms such as the Fast Fourrier Transform (FFT) or the Discrete Cosine Transform (DCT) system designers have traditionally resorted to sp...
Heterogeneous systems are systems that obey different functioning laws. For instance, during the design of embedded systems, it is generally necessary to study both the controller...
The computational demand of signal processing algorithms is rising continuously. Heterogeneous embedded multiprocessor systems-on-chips are one solution to tackle this demand. But ...
Modern microprocessor technology is migrating from simply increasing clock speeds on a single processor to placing multiple processors on a die to increase throughput and power pe...
Bhavana B. Manjunath, Aaron S. Williams, Chaitali ...
—Complex signal processing algorithms are often specified in floating point precision. Thus, a type conversion is needed when the targeted platform requires fixed-point precis...
David Novo, Min Li, Bruno Bougard, Liesbet Van der...