Digital signal processing (3rd ed.): principles, algorithms, and applications
Digital signal processing (3rd ed.): principles, algorithms, and applications
Feedback Control Theory
The Multiple Wordlength Paradigm
FCCM '01 Proceedings of the the 9th Annual IEEE Symposium on Field-Programmable Custom Computing Machines
An analytical approach for dynamic range estimation
Proceedings of the 41st annual Design Automation Conference
Dynamic range estimation for nonlinear systems
Proceedings of the 2004 IEEE/ACM International conference on Computer-aided design
EURASIP Journal on Embedded Systems
Filter-based fading channel modeling
Modelling and Simulation in Engineering - Special issue on Modeling and Simulation of Mobile Radio Channels
| Hi-index | 0.00 |
This paper presents an analytical framework for the implementation of digital infinite impulse response filters in fixed-point hardware on field programmable gate arrays. This analysis is necessary because FPGAs, unlike fixed register size digital signal processors, allow custom bit widths. Within the framework, the designer determines the number of bits necessary for representing the constant coefficients and the internal signals in the filter. The coefficient bit widths are determined by accounting for the sensitivity of the filter's pole and zero locations with respect to the coefficient perturbations. The internal signal bit widths are determined by calculating theoretical bounds on the ranges of the signals, and on the errors introduced by truncation in the fixed-point hardware. The bounds tell how many bits are required at any point in the computation in order to avoid overflow and guarantee a prescribed degree of accuracy in the filter output. The bounds form the basis for a methodology for the fixed-point digital filter implementation. The methodology is applied to the implementation of a second-order filter used as a compensator in a magnetic bearing control system.