PAPER CATEGORIES

1. Audio and Electroacoustics
   1.1 Design methodology, CAD tools, and rapid prototyping; 1.2.1 Active and adaptive sound control; 1.2.2 Active noise reduction; 1.2.3 Echo cancellation; 1.3 Psychoacoustics; 1.4 Aids for the handicapped; 1.5 Broadband and perceptual audio coding; 1.6 Signal processing for music; 1.7.1 Binaural systems; 1.7.2 Audio beamforming; 1.8 Hardware; 1.9 Room acoustics; 1.10 Other (specify).
2. Underwater Acoustic Signal Processing
   2.1 Acoustic medium modeling and effects; 2.2 Array processing, beamforming; 2.3 Detection, classification and localization (active/passive); 2.4 Time delay estimation; 2.5 Ocean signal processing: radar, geophysical &biomedical; 2.6 Matched field processing and channel modeling with uncertainties; 2.7 Ocean acoustic tomography; 2.8 Theoretical and applied underwater acoustics; 2.9 Other (specify).
3. Speech Processing
   3.1 Speech production and perception; 3.2 Speech analysis; 3.3 Speech synthesis; 3.4 Narrowband and wideband speech coding; 3.5 Speech enhancement and noise reduction; 3.6 Isolated word recognition; 3.7 Wordspotting; 3.8 Connected and continuous speech recognition; 3.9 Speech understanding; 3.10 Language and discourse modeling; 3.11 Speaker identification; 3.12 Robust processing; 3.13 Language identification and automatic translation; 3.14 Other (specify).
4. Digital Signal Processing
   4.1 Filter design and structures; 4.2 Fast algorithms; 4.3 Multirate filtering, filter banks, and wavelets; 4.4 Signal reconstruction; 4.5 Adaptive filters; 4.6 Nonlinear signal and systems; 4.7 DSP applications; 4.8 Other (specify).
5. Statistical Signal and Array Processing
   5.1 Power spectrum analysis; 5.2 Higher order spectrum analysis; 5.3 Array signal processing; 5.4 Statistical signal analysis; 5.5 Parameter estimation; 5.6 Detection; 5.7 Signal and system modeling; 5.8 System identification; 5.9 Time-frequency/time- scale signal analysis; 5.10 Cyclostationary signal analysis; 5.11 Other (specify).
6. Image and Multidimensional Signal Processing
   6.1 Theory, algorithms and systems; 6.2 Image processing and analysis; 6.3 Computed imaging; 6.4 Geophysical signal & image processing; 6.5 Video processing; 6.6 Video coding; 6.7 Other (specify).
7. Design and Implementation of Signal Processing Systems
   7.1 Design methodology, CAD tools, and rapid prototyping; 7.2 Software environments and languages; 7.3 Algorithm transformation and mapping techniques; 7.4 Hardware, software, and algorithm tradeoffs and integration; 7.5 Custom processors, architectures, and VLSI hardware; 7.6 Design of programmable signal processors; 7.7 Testing and fault tolerance; 7.8 Algorithm mapping case studies; 7.9 Application case studies; 7.10 Real-time software; 7.11 Other (specify).
8. Pattern Recognition and Neural Networks for Signal Processing
   8.1 Application-driven neural models &systems; 8.2 System identification &spectral estimation by neural networks; 8.3 Neural networks for image processing; 8.4 Application of neural networks to speech processing; 8.5 Neural architectures for signal processing; 8.6 pattern recognition &applications; 8.7 Nonlinear signal learning &processing; 8.8 Theory & algorithms; 8.9 Other (specify).