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During the past decade digital signal processors (DSPs) have hit critical mass for high-volume applications (Figure 1). Today, the entire digital wireless industry operates with DSP-enabled handsets and base stations. The mass-storage industry depends on DSPs to produce hard-disk drives and digital versatile disc players. Ever-increasing numbers of digital(More)
Numerical linear algebra algorithms use the inherent elegance of matrix formulations and are usually implemented using C/C++ floating point representation. The system implementation is faced with practical constraints because these algorithms usually need to run in real time on fixed point digital signal processors (DSPs) to reduce total hardware costs.(More)
This paper uses compact models of power electronics converters to represent their EMC behavior. The model does not need any knowledge of the converter design since it is identified from external measurements. Three different DC-DC converters will be identified and the model validated in various network environment. Then, the models association in a DC(More)
Digital signal processing is a stealth technology. It is the core enabling technology in everything from your cellphone to the Mars Rover. It goes much further than just enabling a one-time breakthrough product. It provides ever-increasing capability; compare the performance gains made by dial-up modems with the recent performance gains of DSL and cable(More)
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