• 1. Fundamental models of neural networks for signal processing; 2. Neural networks for filtering; 3. Neural networks for spectral estimation; 4. Neural networks for signal detection; 5. Neural networks for signal reconstruction; 6. Neural networks for adaptive extraction of principal and minor components; 7. Neural networks for array signal processing; 8. Neural networks for system identification; 9. Neural networks for signal compression.

' … the book undoubtedly provides an interesting framework for new potential solutions and can therefore be recommended to a wide audience.' Zamp

• 1. Fundamental models of neural networks for signal processing; 2. Neural networks for filtering; 3. Neural networks for spectral estimation; 4. Neural networks for signal detection; 5. Neural networks for signal reconstruction; 6. Neural networks for adaptive extraction of principal and minor components; 7. Neural networks for array signal processing; 8. Neural networks for system identification; 9. Neural networks for signal compression.

' … the book undoubtedly provides an interesting framework for new potential solutions and can therefore be recommended to a wide audience.' Zamp

• 1. Fundamental models of neural networks for signal processing; 2. Neural networks for filtering; 3. Neural networks for spectral estimation; 4. Neural networks for signal detection; 5. Neural networks for signal reconstruction; 6. Neural networks for adaptive extraction of principal and minor components; 7. Neural networks for array signal processing; 8. Neural networks for system identification; 9. Neural networks for signal compression.

' … the book undoubtedly provides an interesting framework for new potential solutions and can therefore be recommended to a wide audience.' Zamp