Special Issue "Signal Processing and Machine Learning"
Deadline for manuscript submissions: 1 December 2020.
Interests: digital telecommunication; quantization; compression; coding
Interests: fractional-order differential equations; fractional calculus; applied mathematics; control theory; mathematical modeling
Interests: ICT; speech technologies; HCI
Interests: spoken language understanding; speech processing; machine learning; natural language processing; fractional calculus
2) School of Computer Science and Robotics, National Research Tomsk Polytechnic University, Tomsk, Russia
Interests: statistics; probability; electronics and communication engineering; designing; statistical analysis; digital signal processing
The problems in signal processing and machine learning fields are similar or related, and modern technology relies on research in these fields. A number of methods and theories have been developed with the aim of solving various problems, including in speech and speaker recognition, classification of signals (image, speech, audio, biomedical signals), emotion recognition and sentiment analysis, signal quality enhancement (filtering and other algorithms), denoising and detection of signals in the presence of noise, and pattern recognition in signals (speech, image, ECG, and other medical signals), with application in networks, communications, predictive maintenance, as well as business prediction.
One of the goals of signal processing in real time is to reduce the amount of data required to provide a high quality of representation given the reduction in signal. Statistical data processing, statistical signal processing, as well as methods and algorithms which deal with signal reduction support achievement of this goal.
This Special Issue aims to present articles not only involving the application of methods and algorithms for signal processing and learning but also to promote development in these two fields—both independently and combined.
This Special Issue will include original research in signal processing, machine learning, and information processing.
Potential topics include but are not limited to the following:
- Parametric estimation in signal and probability density function models of signal source
- Methods in speech recognition and text to speech synthesis
- Speaker identification
- Emotion recognition, sentiment analysis, and face recognition
- Conversational agents (chatbots)
- Natural language processing
- Adaptive signal processing
- Signal processing and learning representation
- Linear and nonlinear regression and data mining
- Machine learning
- Signal extraction and quality enhancement using filtering techniques
- Classification and quantization
- Estimation of statistical parameters in processing of signals
- Deep learning methods
- Quantization in neural networks
- Learning and quantization
- Methods of signal compression and learning
- Autoregressive processing
- Signals, time series, and prediction
- Signal processing and machine learning
Dr. Zoran H. Peric
Dr. Vlado Delic
Dr. Vladimir Despotovic
Dr. Stefan Panic
Dr. Tomas Skovranek
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.