Performance optimization in signal processing systems

Abstract

Techniques for optimizing the utilization of underlying computer resources with respect to a dynamic signal-processing system executing on them are discussed. An example system is used to illustrate these techniques: a structurally adaptive solution to the sonar problem, the direction-of-arrival finding problem, was implemented under the Multigraph architecture. The signal processing system runs in a distributed, parallel environment, the Multigraph execution environment. Above the executing real-time signal-processing system, a controller guides and coordinates overall goals (e.g. tracking). It also manages the available system resources, taking into account the memory and time requirements of the signal-processing algorithms and their priorities. Further, a user interface allows priorities and various operating parameters of the system to be changed dynamically.<>