Name
Title | ||
|---|---|---|
Compact framework for reproducible analysis of finite wordlength effects in linear digital networks. |
Abstract | ||
|---|---|---|
The analysis of finite wordlength effects in linear digital networks requires specifying the exact order in which all the internal computations are performed, as well as the type and resolution of all the quantizers. Popular digital filter descriptions (difference equations, transfer function, state space representation, etc.) are unable to provide a bit-true description valid for any filter structure, thus preventing most of the results in the literature from being truly reproducible. Furthermore, the quantizers are often not properly described. In this work, we introduce a novel and compact framework to describe unambiguously any single-input single-output (SISO) linear digital network. The proposed approach is simple, efficient and guarantees the reproducibility of the results obtained for any network by allowing us to describe in detail the data flow as well as the quantization of all the coefficients and operations performed. An example of a third order Butterworth filter with four different implementations is provided to show the descriptive power and flexibility of the proposed approach. |
Year | Venue | Field |
|---|---|---|
2017 | European Signal Processing Conference | Digital filter,Computer science,Third order,State-space representation,Algorithm,Theoretical computer science,Transfer function,Quantization (signal processing),Butterworth filter,Computation,Data flow diagram |
DocType | ISSN | Citations |
Conference | 2076-1465 | 0 |
PageRank | References | Authors |
0.34 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Luengo | 1 | 230 | 25.55 |
| David Oses | 2 | 3 | 0.74 |
| Fernando Cruz-Roldán | 3 | 111 | 19.33 |