Machine learning methods for signal, image and speech processing / M.A. Jabbar [and others].
The signal processing (SP) landscape has been enriched by recent advances in artificial intelligence (AI) and machine learning (ML), yielding new tools for signal estimation, classification, prediction, and manipulation. Layered signal representations, nonlinear function approximation and nonlinear...
Повний опис
Збережено в:
Бібліографічні деталі
| Автор: |
Jabbar, M. A.
(Автор) |
|---|
| Інші автори: |
Prasad, Kantipudi MVV
(Редактор),
Peng, Sheng-Lung,
Bin Ibne Reaz, Mamun
(Редактор),
Madureira, Ana |
|---|
| Формат: | eКнига
|
|---|
| Мова: | English |
|---|
| Опубліковано: |
Aalborg :
River Publishers,
[2021]
|
|---|
| Серія: | River Publishers series in signal, image and speech processing.
|
|---|
| Предмети: | |
|---|
| Онлайн доступ: | Click for online access
|
|---|