CAL is a dataflow oriented language for writing high-level specifications of signal processing applications. The language has recently been standardized and selected for the new...
Abstract--Time-frequency analysis, such as the Gabor transform, plays an important role in many signal processing applications. The redundancy of such representations is often dire...
Abstract--In this paper, we consider a competitive approach to sequential decision problems, suitable for a variety of signal processing applications where at each of a succession ...
Data dominated signal processing applications are typically described using large and multi-dimensional arrays and loop nests. The order of production and consumption of array ele...
Per Gunnar Kjeldsberg, Francky Catthoor, Sven Verd...
Signal processing applications use sinusoidal modelling for speech synthesis, speech coding, and audio coding. Estimation of the model parameters involves non-linear optimisation ...
Jean-Marc Valin, Daniel V. Smith, Christopher Mont...
High-throughput real-time systems require non-standard and costly hardware and software solutions. Modern workstation can represent a credible alternative to develop realtime inte...
In the past, environmental restrictions on size, weight, and power consumption have severely limited both the processing and storage capacity of embedded signal processing systems...
Aggressive pipelining allows FPGAs to achieve high throughput on many Digital Signal Processing applications. However, cyclic data dependencies in the computation can limit pipeli...
Karl Papadantonakis, Nachiket Kapre, Stephanie Cha...
duce system weight and volume, increase operating lifetime, The recent explosion in capability of embedded and portable decrease maintenance costs, and open new frontiers for inele...
Novel reconfigurable computing platforms enable efficient realizations of complex signal processing applications by allowing exploitation of parallelization resulting in high thro...
Sankalita Saha, Jason Schlessman, Sebastian Puthen...