Parametrizations in Control, Estimation, and Filtering Problems: Accuracy Aspects
Parametrizations in Control, Estimation, and Filtering Problems: Accuracy Aspects
Synthesis And Optimization Of DSP Algorithms
Synthesis And Optimization Of DSP Algorithms
Automated Floating-Point to Fixed-Point Conversion with the Fixify Environment
RSP '05 Proceedings of the 16th IEEE International Workshop on Rapid System Prototyping
L2-sensitivity analysis and minimization of 2-D separable-denominator state-space digital filters
IEEE Transactions on Signal Processing
EURASIP Journal on Advances in Signal Processing - Special issue on quantization of VLSI digital signal processing systems
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This brief presents a new dynamic-range scaling for the implementation of filters/controllers in state-space form. Relaxing the classical L2-scaling constraints by specific fixed-point considerations allows for a higher degree of freedom for the optimal L2-parametric sensitivity problem. However, overflows in the implementation are still prevented. The underlying constrained problem is converted into an unconstrained problem for which a solution can be provided. This leads to realizations that are still scaled but less sensitive.