Abstract | ||
---|---|---|
DURING the last two decades, the role of digital signal processing (DSP) has changed drastically. Twenty years ago, DSP was mainly a branch of applied mathematics. At that time, the scientists were aware of how to replace continuous-time signal processing algorithms by their discrete-time counterparts providing many attractive properties. These include, among others, a higher accuracy, a higher reliability, a higher flexibility, and, most importantly, a lower cost and the ability to duplicate the product with exactly the same performance. |
Year | Venue | Keywords |
---|---|---|
2000 | Tampere, Finland | digital filter,encoding,algorithm design and analysis,optimization,filter bank,linear programming,digital signal processing |
Field | DocType | ISBN |
Signal processing,Digital signal processing,Continuous signal,Digital filter,Digital signal processor,Computer science,Filter bank,Algorithm,Systems design,Computer engineering,New product development | Conference | 978-952-1504-43-3 |
Citations | PageRank | References |
4 | 2.55 | 22 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tapio Saramaki | 1 | 206 | 28.51 |
Juha Yli-Kaakinen | 2 | 212 | 25.99 |