Abstract:
This paper presents a new method for computing the absolute noise bounds caused by quantization of coefficients and signals in fixed-point implementation of digital filte...Show MoreMetadata
Abstract:
This paper presents a new method for computing the absolute noise bounds caused by quantization of coefficients and signals in fixed-point implementation of digital filters. A tool based on refined interval-based computations has been enhanced to calculate with reduced computational cost the implications of both effects in the finite wordlength behavior of the specific realizations. Finally, a particular filter realization is quantized using different wordlengths and the computed bounds are presented for comparison.
Published in: Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03.
Date of Conference: 25-28 May 2003
Date Added to IEEE Xplore: 25 June 2003
Print ISBN:0-7803-7761-3
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Coefficient Quantization ,
- Digital Filter ,
- Linear Effects ,
- Input Signal ,
- Output Variables ,
- Nonlinear Effects ,
- Noise Sources ,
- Impulse Response ,
- Data Space ,
- Variety Of Algorithms ,
- Input Space ,
- Limit Cycle ,
- Output Filter ,
- Gain Variation ,
- Quantization Noise ,
- Input Filter ,
- Second-order Butterworth Filter ,
- Quantization Effects
Contents Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Coefficient Quantization ,
- Digital Filter ,
- Linear Effects ,
- Input Signal ,
- Output Variables ,
- Nonlinear Effects ,
- Noise Sources ,
- Impulse Response ,
- Data Space ,
- Variety Of Algorithms ,
- Input Space ,
- Limit Cycle ,
- Output Filter ,
- Gain Variation ,
- Quantization Noise ,
- Input Filter ,
- Second-order Butterworth Filter ,
- Quantization Effects
