Abstract: A method for automating system identification includes performing a system identification experiment, and performing a system identifying processing by fitting a model to data from the system identification experiment. The method also includes performing model reduction to generate a model numerically suitable for controller synthesis by removing inconsequential states that cause controller optimization methods to fail. The method further includes performing control synthesis using the generated model or reduced models, including disturbance spectrum estimates, to generate a candidate controller design to be used during system operation. The method also includes checking for controller robustness using the identified model to ensure stability of the system while maximizing closed-loop bandwidth and performance.

Abstract: A method and apparatus for identification of interference sources are disclosed.

Abstract: The present invention includes a method and system for compensating for cross-talk interference in communication systems. The method includes estimation of the interfering signals. Further, the method includes performing a compensation operation on at least one interfering signal.

Abstract: A method and system is disclosed for design and implementation of fixed-point filters from floating-point filters. A design sequence for designing a fixed-point filter for a system is selected. A low-order floating-point filter and a first set of parameters associated with the low-order floating-point filter components are then selected. One or more parameters of the first set of parameters is then iteratively modified to obtain a set of modified parameters, until a plurality of performance characteristics calculated using the first set of parameters meets a performance objective for the fixed-point filter for the system.