Name
Abstract | ||
|---|---|---|
One of the significant problems in digital signal processing is the filtering and reduction of undesired interference. Due to the abundance of methods and algorithms for processing signals characterized by complexity and effectiveness of removing noise from a signal, depending on the character and level of noise, it is difficult to choose the most effective method. So long as there is specific knowledge or grounds for certain assumptions as to the nature and form of the noise, it is possible to select the appropriate filtering method so as to ensure optimum quality. This chapter describes several methods for estimating the level of noise and presents a new method based on the properties of the smoothing filter. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-36543-0_1 | ACIIDS |
Keywords | Field | DocType |
certain assumption,digital image,effective method,significant problem,specific knowledge,undesired interference,new method,averaging filter name cov,digital signal processing,optimum quality,smoothing filter | Data mining,Value noise,Median filter,Noise (signal processing),Noise measurement,Computer science,Salt-and-pepper noise,Artificial intelligence,Pattern recognition,Speech recognition,Noise shaping,Gaussian noise,Gradient noise | Conference |
Volume | ISSN | Citations |
7803 | 0302-9743 | 1 |
PageRank | References | Authors |
0.43 | 7 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Janusz Pawel Kowalski | 1 | 1 | 3.48 |
| Jakub Peksiński | 2 | 5 | 5.58 |
| Grzegorz Mikołajczak | 3 | 5 | 5.58 |