A Min-max Cut Algorithm for Graph Partitioning and Data Clustering
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
A Single-Chip Supervised Partial Self-Reconfigurable Architecture for Software Defined Radio
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Sample rate conversion for software radio
IEEE Communications Magazine
The software radio architecture
IEEE Communications Magazine
Software radio architecture: a mathematical perspective
IEEE Journal on Selected Areas in Communications
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In view of the technical and commercial boundary conditions for software-defined radio (SDR), it is suggestive to reconsider the concept anew from an unconventional point of view. The organizational principles of signal processing (rather than the signal processing algorithms themselves) are the main focus of this work on modular software-defined radio. Modularity and flexibility are just two key characteristics of the SDR environment which extend smoothly into the modeling of hardware and software. In particular, the proposed model of signal processing software includes irregular, connected, directed, acyclic graphs with random node weights and random edges. Several approaches for mapping such software to a given hardware are discussed. Taking into account previous findings as well as new results from system simulations presented here, the paper finally concludes with the utility of pipelining as a general design guideline for modular software-defined radio.