Name
Abstract | ||
|---|---|---|
Two structures of the processors for the autoregressive analysis are considered. The first of them implements the Durbin algorithm using the rational fraction calculations. Such calculations provide higher precision than integer calculations do, and are simpler than the floating point calculations. The second of them implements the adaptive lattice filter. These processors are configured in FPGA, and give the possibility of the signal analysis with the sampling frequency up to 300 MHz. They provide new opportunities for the real time signal analysis and adaptive filtering in radio receivers, ultrasonic devices, wireless communications, etc. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-14390-8_9 | PPAM (1) |
Keywords | Field | DocType |
new opportunity,adaptive lattice filter,higher precision,autoregressive analysis,signal analysis,radio receiver,integer calculation,floating point calculation,application specific processor,autoregressive signal analysis,durbin algorithm,real time signal analysis,floating point,adaptive filter,real time,sampling frequency,wireless communication | Signal processing,Autoregressive model,Time signal,Wireless,Lattice phase equaliser,Computer science,Floating point,Sampling (signal processing),Theoretical computer science,Adaptive filter | Conference |
Volume | ISSN | ISBN |
6067 | 0302-9743 | 3-642-14389-X |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anatolij Sergiyenko | 1 | 1 | 1.15 |
| Oleg Maslennikow | 2 | 17 | 3.66 |
| Piotr Ratuszniak | 3 | 11 | 1.74 |
| Natalia Maslennikowa | 4 | 0 | 0.34 |
| Adam Tomas | 5 | 25 | 3.57 |