Special Issue "ICCCI 2020&2021: Advances in Baseband Signal Processing, Circuit Designs, and Communications"

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information and Communications Technology".

Deadline for manuscript submissions: 30 November 2021.

Special Issue Editors

Prof. Dr. Chih-Peng Fan
E-Mail Website
Guest Editor
Department of Electrical Engineering, National Chung Hsing University, Taiwan
Interests: digital baseband transceiver design; digital image/video signal processing and system design; fast prototypes with embedded FPGA platform; digital VLSI design
Dr. Muh-Tian Shiue
E-Mail Website
Guest Editor
Department of Electrical Engineering, National Central University, Taiwan
Interests: signal processing; VLSI architecture and circuit design for digital communication and biomedical electronics systems
Prof. Dr. Hsi-Pin Ma
E-Mail Website
Guest Editor
Department of Electrical Engineering, National Tsing Hua University, Taiwan
Interests: biomedical electronics systems and wearable applications; biomedical signal processing and health informatics; communications system design and SoC implementation

Special Issue Information

Dear Colleagues,

We invite contributions to a Special Issue that will cover all aspects of the advanced developments and technology applications of wireless/wired communication systems, especially in algorithm/system designs, baseband circuit designs, and baseband signal processing for communications. We want to especially concentrate on the design, implementation, and practical applications for communications and baseband signal processing. This Special Issue will include the advances and methodologies that deal with solving real-world communication issues by using baseband signal processing and circuit design technologies. Papers describing advanced algorithms, systems, hardware architecture, prototypes, and VLSI designs for wireless/wired communications and general survey papers indicating next-generation communication and signal processing trends are also encouraged.

Papers describing original work are invited in any of the five areas listed below:

  1. Algorithm and system designs for wireless/wired communications;
  2. Synchronization, channel estimation, and signal processing;
  3. OFDM, MIMO, beamforming technologies, and signal processing;
  4. Hardware architectures and VLSI implementations for baseband transceiver designs;
  5. Emerging topics for communications and baseband signal processing.

This Special Issue will contain extended versions of selected papers presented at the ICCCI 2020 Conference (http://iccci.org/) held in Nagoya, Japan, 26–29 June 2020, and at the ICCCI 2021 on 25-27 June 2021.

Prof. Chih-Peng Fan
Dr. Kostas E. Psannis
Dr. Muh-Tian Shiue
Prof. Hsi-Pin Ma
Guest Editors

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 1400 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.

Keywords

  • algorithm and system designs for wireless/wired communications;
  • synchronization, channel estimation, and signal processing;
  • OFDM, MIMO, beamforming technologies, and signal processing;
  • hardware architectures and VLSI implementations for baseband transceiver designs;
  • emerging topics for communications and baseband signal processing

Published Papers (3 papers)

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Research

Article
Classification of Relaxation and Concentration Mental States with EEG
Information 2021, 12(5), 187; https://doi.org/10.3390/info12050187 - 26 Apr 2021
Viewed by 502
Abstract
In this paper, we study the use of EEG (Electroencephalography) to classify between concentrated and relaxed mental states. In the literature, most EEG recording systems are expensive, medical-graded devices. The expensive devices limit the availability in a consumer market. The EEG signals are [...] Read more.
In this paper, we study the use of EEG (Electroencephalography) to classify between concentrated and relaxed mental states. In the literature, most EEG recording systems are expensive, medical-graded devices. The expensive devices limit the availability in a consumer market. The EEG signals are obtained from a toy-grade EEG device with one channel of output data. The experiments are conducted in two runs, with 7 and 10 subjects, respectively. Each subject is asked to silently recite a five-digit number backwards given by the tester. The recorded EEG signals are converted to time-frequency representations by the software accompanying the device. A simple average is used to aggregate multiple spectral components into EEG bands, such as α, β, and γ bands. The chosen classifiers are SVM (support vector machine) and multi-layer feedforward network trained individually for each subject. Experimental results show that features, with α+β+γ bands and bandwidth 4 Hz, the average accuracy over all subjects in both runs can reach more than 80% and some subjects up to 90+% with the SVM classifier. The results suggest that a brain machine interface could be implemented based on the mental states of the user even with the use of a cheap EEG device. Full article
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Article
A Modular Design Concept for Shaping Future Wireless TSN Solutions
Information 2021, 12(1), 12; https://doi.org/10.3390/info12010012 - 30 Dec 2020
Cited by 4 | Viewed by 883
Abstract
The use of wireless communication systems in industrial environments is gaining international importance. The requirements, which are placed thereby on the communication systems, are manifold depending on the specific use. In the field of industrial manufacturing, however, many applications are characterized by high [...] Read more.
The use of wireless communication systems in industrial environments is gaining international importance. The requirements, which are placed thereby on the communication systems, are manifold depending on the specific use. In the field of industrial manufacturing, however, many applications are characterized by high reliability requirements and hard real-time demands. The latter requires a time-deterministic handling of processed transmissions and therefore requires the use of Time-Sensitive Networking (TSN) solutions. In this paper, we briefly describe which functionalities characterize a wireless TSN system and which approaches have already been pursued in the literature and standardization. Subsequently, we present a concept for a toolbox that allows one to combine the required functionalities into a working solution, which can be used as a guideline for software-based implementation. Additionally, since reliability of transmissions is one of the key challenges, especially in wireless communication, to achieve a performance comparable to wired systems, we provide some further design considerations to improve. Full article
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Article
Comparative Study of Dimensionality Reduction Techniques for Spectral–Temporal Data
Information 2021, 12(1), 1; https://doi.org/10.3390/info12010001 - 22 Dec 2020
Cited by 2 | Viewed by 571
Abstract
This paper studies the use of three different approaches to reduce the dimensionality of a type of spectral–temporal features, called motion picture expert group (MPEG)-7 audio signature descriptors (ASD). The studied approaches include principal component analysis (PCA), independent component analysis (ICA), and factor [...] Read more.
This paper studies the use of three different approaches to reduce the dimensionality of a type of spectral–temporal features, called motion picture expert group (MPEG)-7 audio signature descriptors (ASD). The studied approaches include principal component analysis (PCA), independent component analysis (ICA), and factor analysis (FA). These approaches are applied to ASD features obtained from audio items with or without distortion. These low-dimensional features are used as queries to a dataset containing low-dimensional features extracted from undistorted items. Doing so, we may investigate the distortion-resistant capability of each approach. The experimental results show that features obtained by the ICA or FA reduction approaches have higher identification accuracy than the PCA approach for moderately distorted items. Therefore, to extract features from distorted items, ICA or FA approaches should also be considered in addition to the PCA approach. Full article
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