The Journal of Advanced Signal Processing (JASP) is a peer reviewed journal devoted to publish original papers of high technical standard related to the broad topics in the field of Signal Processing and Communications. All topics are treated with similar emphasis, such as:
- Digital signal processing
- Communication signal processing
- Biological signal processing
- Image processing
- Medical image processing
- Speech processing
- Audio signal processing
- Acoustic signal processing
- Binaural signal processing
- Statistical signal processing
- Optical signal processing
- Machine vision
- Machine hearing
- Computer vision
- Information theory and coding
- Data compression
- Distributed source coding
- Error control coding
- Free space optics
- Joint source-channel coding
- Medical imaging systems
- Multimedia systems
- Communication systems
- Communication networks
- Computer networks
- Wireless sensor networks
- Multimedia networks
- Next generation networks
- Biosensor networks
- Artificial neural networks
- Machine learning
- Deep learning
- Statistical learning
- Pattern recognition
- Soft computing
- Secure computing
- Cloud computing
- Grid computing
- Data mining
- Evolutionary optimization
- Artificial intelligence and expert systems
- Computational intelligence
- Human-computer interaction
- Brain-computer interface
- Cognitive sciences
- Algorithms and computations
- Genetic algorithms
- Intelligent optimization algorithms
- Evolutionary computations
- Radio detection and ranging
- Information and communication technology
- Security of communication networks
- Spread spectrum communications
- Multicarrier communications
- Mobile communications
- Satellite communications
- Encryption and steganography
- Data watermarking
- Blind source separation
- Adaptive filters
- Modelling of biological systems
- Compressed sensing
