The IEEE Transactions on Signal Processing covers novel theory, algorithms, performance analyses and applications of techniques for the processing, understanding, learning, retrieval, mining, and extraction of information from signals. The term “signal” includes, among others, audio, video, speech, image, communication, geophysical, sonar, radar, medical and musical signals. Examples of topics of interest include, but are not limited to, information processing and the theory and application of filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals.
Digital Signal Processing: a Review Journal is one of the oldest and most established journals in the field of signal processing yet it aims to be the most innovative one. The journal invites top quality research articles at the frontiers of research in all aspects of signal processing. Our objective is to provide a platform for the publication of groundbreaking research in signal processing with both academic and industrial appeal. The journal has a special emphasis on statistical signal processing methodology such as Bayesian signal processing, and encourages articles on emerging areas in signal processing which do not find space in other journals of the field.
Journal of Optometry The Journal of Optometry (J Optom) is the scientific peer-reviewed publication of the Spanish General Council of Optometrists. Audience of J Optom includes Optometrists, Ophthalmologists and Visual Scientists. The J Optom welcomes the submission of original manuscripts and reviews describing clinical and experimental research in the field of Optometry, Ophthalmic Optics, Ocular Surface and Basic and Applied Visual Science in general; research on Instruments and Techniques, Reports of Clinical Cases, and clinically relevant laboratory investigations are also welcomed. The J Optom publishes Full-Length Original Articles, Scientific Letters, Critical Reviews, Editorials, Letters to Editor and other Authors.
The Global EdTech Startups Awards is an initiative led by a group of prominent education innovation organizations from across the world. The competition’s goal is to identify, highlight and recognize the world’s most promising EdTech startups, those which present a potential for groundbreaking learning solutions. We wish to give voice and space to the exciting, growing trends in innovation and investments in EdTech, currently arising in different parts of the world.
SCIENTIFIC REVIEWS (last 5 years, in alphabetical order)
- Applied Optics
- Biomedical Optics Express
- Clinical and Experimental Optometry
- Computers in Biology and Medicine
- Contact Lens & Anterior Eye
- Digital Signal Processing
- IEEE Transactions on Instrumentation & Measurement
- IEEE Transaction on Signal Processing
- Investigative Ophthalmology and Visual Science
- Journal of Biomedical Optics
- Journal of Optometry
- Mathematical Medicine & Biology
- Medical Engineering & Physics
- Ophthalmic and Physiological Optics
- Optical Engineering
- Optics Express
- Optics Letters
- Optometry and Vision Science