Automatic floating-point to fixed-point conversion for DSP code generation
CASES '02 Proceedings of the 2002 international conference on Compilers, architecture, and synthesis for embedded systems
Fast, Accurate Static Analysis for Fixed-Point Finite-Precision Effects in DSP Designs
Proceedings of the 2003 IEEE/ACM international conference on Computer-aided design
Minimization of fractional wordlength on fixed-point conversion for high-level synthesis
Proceedings of the 2004 Asia and South Pacific Design Automation Conference
MiniBit: bit-width optimization via affine arithmetic
Proceedings of the 42nd annual Design Automation Conference
Floating-to-fixed-point conversion for digital signal processors
EURASIP Journal on Applied Signal Processing
CSS '07 Proceedings of the Fifth IASTED International Conference on Circuits, Signals and Systems
High-performance hardware operators for polynomial evaluation
International Journal of High Performance Systems Architecture
Optimization of imprecise circuits represented by Taylor series and real-valued polynomials
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Acceleration of a content-based image-retrieval application on the RDISK cluster
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
FPGA control implementation of a grid-connected current-controlled voltage-source inverter
Journal of Control Science and Engineering
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The minimization of cost, power consumption and time-to-market of DSP applications requires the developmentof methodologies for the automatic implementation offloating-point algorithms in fixed-point architectures. Inthis paper, a new methodology for evaluating the qualityof an implementation through the automatic determinationof the Signal to Quantization Noise Ratio (SQNR) is underconsideration. The theoretical concepts and the differentphases of the methodology are explained. Then, the abilityof our approach for computing the SQNR efficiently and itsbeneficial contribution in the process of data word-lengthminimization are shown through some examples.