Advances in Nonlinear Signal and Image ProcessingStephen Marshall, Giovanni L. Sicuranza Hindawi Publishing Corporation, 2006 - 361 pages |
From inside the book
Results 1-5 of 65
Page vii
... color problem 303 11.3. Linear versus nonlinear processing 303 11.4. Color filtering 305 11.5. Color bleeding 306 11.6. The mode filter 310 11.7. Modern “switched” noise suppression filters 313 11.8. Filters with adjustable parameters ...
... color problem 303 11.3. Linear versus nonlinear processing 303 11.4. Color filtering 305 11.5. Color bleeding 306 11.6. The mode filter 310 11.7. Modern “switched” noise suppression filters 313 11.8. Filters with adjustable parameters ...
Page xi
Sorry, this page's content is restricted.
Sorry, this page's content is restricted.
Page 63
Sorry, this page's content is restricted.
Sorry, this page's content is restricted.
Page 66
Sorry, this page's content is restricted.
Sorry, this page's content is restricted.
Page 67
Sorry, this page's content is restricted.
Sorry, this page's content is restricted.
Contents
theory application and multiresolution analysis | 15 |
Finiteset signal processing Ronald K Pearson and Moncef Gabbouj | 49 |
Nonlinear signal modeling and structure selection with applications | 79 |
Nonlinear methods for speech analysis and synthesis | 103 |
challenges and some | 141 |
Nonlinear multichannel active noise control | 169 |
Chaotic sequences for digital watermarking | 205 |
Common terms and phrases
active adaptive addition algorithm analysis aperture applied approach approximate binary channel chaotic chapter characterization classification color color images complex Computer Conference considered correlation corresponding defined depends derived described detection developed different direction distance distribution edge edge detectors effects elements embedding equation error estimation example expression Figure filter first frequency function gene give given IEEE Transactions increasing input Journal length linear mathematical mean measure median methods multichannel noise nonlinear normalized observed obtained operators optimal original output parameters Pattern performance pitch pixels polynomial position possible prediction presented problem Proceedings produce random reference represent representation response samples schemes sequence shown shows Signal Processing space spectrum speech statistical structure techniques texture tion values variables vector watermark weights window