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Applied Sciences
Special Issues
Signal Acquisition and Processing for Measurement and Testing
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Signal Acquisition and Processing for Measurement and Testing

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 2029

Special Issue Editors

Prof. Dr. Yijiu Zhao

E-Mail Website
Guest Editor
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Interests: signal acquisition and transformation; statistical signal processing; embedded system design
Prof. Dr. Yindong Xiao

E-Mail Website
Guest Editor
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Interests: integrated circuits; testing technology; testing equipments
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Mingjiang Shi

E-Mail Website
Guest Editor
School of Mechatronic Engineering, Southwest Petroleum University, Chengdu 610500, China
Interests: weak signal detection; machine learning; nondestructive testing

Special Issue Information

Dear Colleagues,

This Special Issue is devoted to the application of signal acquisition and processing in measurement and testing fields. The signal acquisition technique aims to acquire the analog signal, and it is governed by the Shannon sampling theorem. However, the rate of signal is usually high, and it brings a great challenge to the signal acquisition techniques. Therefore, the alternative signal acquisition techniques, such as sub-Nyquist sampling, compressive sampling etc., would be potential solutions to acquire the high speed signal. In this Special Issue, we will focus on the signal sampling methods and the corresponding processing techniques. The scope of submitted papers may encompass: (1) sampling models with mathematical explanations, particularly welcome will be models that could be implemented in circuitry. (2) signal reconstruction, representation and estimation; (3) design, circuitry implementation.

Prof. Dr. Yijiu Zhao
Dr. Yindong Xiao
Prof. Dr. Mingjiang Shi
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 submissions that pass pre-check are 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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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

  • sampling methods
  • sub-Nyquist sampling
  • signal reconstruction
  • wideband signal acquisition
  • waveform synthesis techniques
  • compressive sampling
  • spectral estimation
  • spectrum sensing

Published Papers (3 papers)

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Research

16 pages, 7082 KiB  
Article
Research on an Alpha Navigation Signal Detection Method Based on Multichannel Orthogonal Correlation
by Wenhe Yan, Shifeng Li, Xinze Ma, Yuhang Song, Jiangbin Yuan and Yu Hua
Appl. Sci. 2024, 14(9), 3620; https://doi.org/10.3390/app14093620 - 25 Apr 2024
Viewed by 328
Abstract
The Alpha navigation system is the only operating radio system based on very-low-frequency (VLF) signals that can be used to research VLF navigation, timing, and ionospheric characteristics. The detection of the Alpha navigation signal is the key step in the Alpha receiver; however, [...] Read more.
The Alpha navigation system is the only operating radio system based on very-low-frequency (VLF) signals that can be used to research VLF navigation, timing, and ionospheric characteristics. The detection of the Alpha navigation signal is the key step in the Alpha receiver; however, the received Alpha navigation signal is susceptible to noise and mutual interference, which deteriorates signal detection performance. This paper presents a multichannel orthogonal correlation method for Alpha navigation signal detection. Once the three frequency signals of the Alpha navigation system are obtained using a notch filter, station identification is realized using a multichannel orthogonal correlation method and signal format. The selection of key parameters and the detection performance under noise and mutual interference are analyzed. This method’s detection probability exceeds 90% when the signal-to-noise ratio (SNR) is greater than −10 dB. The influence of mutual interference on the signal correlation peak is less than 1% when the signal-to-interference ratio (SIR) of the mutual interference is greater than −28 dB. The proposed method is verified using an actual signal collected using an Alpha receiver. The results show that an Alpha signal can be detected at an extremely low SNR. This method has strong practicability and satisfies the application requirements of an Alpha receiver. Full article
(This article belongs to the Special Issue Signal Acquisition and Processing for Measurement and Testing)
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17 pages, 7113 KiB  
Article
Effect of Face Masks on Automatic Speech Recognition Accuracy for Mandarin
by Xiaoya Li, Ke Ni and Yu Huang
Appl. Sci. 2024, 14(8), 3273; https://doi.org/10.3390/app14083273 - 12 Apr 2024
Viewed by 308
Abstract
Automatic speech recognition (ASR) has been widely used to realize daily human–machine interactions. Face masks have become everyday wear in our post-pandemic life, and speech through masks may have impaired the ASR. This study explored the effects of different kinds of face masks [...] Read more.
Automatic speech recognition (ASR) has been widely used to realize daily human–machine interactions. Face masks have become everyday wear in our post-pandemic life, and speech through masks may have impaired the ASR. This study explored the effects of different kinds of face masks (e.g., surgical mask, KN95 mask, and cloth mask) on the Mandarin word accuracy of two ASR systems with or without noises. A mouth simulator was used to play speech audio with or without wearing a mask. Acoustic signals were recorded at distances of 0.2 m and 0.6 m. Recordings were mixed with two noises at a signal-to-noise ratio of +3 dB: restaurant noise and speech-shaped noise. Results showed that masks did not affect ASR accuracy without noise. Under noises, masks did not significantly influence ASR accuracy at 0.2 m but had significant effects at 0.6 m. The activated-carbon mask had the most significant impact on ASR accuracy at 0.6 m, reducing the accuracy by 18.5 percentage points compared to that without a mask, whereas the cloth mask had the least effect on ASR accuracy at 0.6 m, reducing the accuracy by 0.9 percentage points. The acoustic attenuation of masks on the high-frequency band at around 3.15 kHz of the speech signal attributed to the effects of masks on ASR accuracy. When training ASR models, it may be important to consider mask robustness. Full article
(This article belongs to the Special Issue Signal Acquisition and Processing for Measurement and Testing)
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15 pages, 5694 KiB  
Article
Estimation of Impact Loads Transmitted to Vibro-Ripper Housing Using Transfer Path Analysis
by Daeji Kim, Hyune-Jun Park, Joo-Young Oh, Jung-Woo Cho, Jintai Chung and Changheon Song
Appl. Sci. 2023, 13(19), 10990; https://doi.org/10.3390/app131910990 - 5 Oct 2023
Viewed by 1057
Abstract
This study aimed to estimate impact loads delivered to vibro-ripper housing through link modules, together with loads transmitted in various directions. Housing vibration resulting from impact loads generated during the operating condition and frequency response functions were assessed by vibration and modal experiments, [...] Read more.
This study aimed to estimate impact loads delivered to vibro-ripper housing through link modules, together with loads transmitted in various directions. Housing vibration resulting from impact loads generated during the operating condition and frequency response functions were assessed by vibration and modal experiments, respectively. Vibration data and transfer functions were applied in a transfer path analysis (TPA) model to analyze the quantified impact loads transmitted through the key components of the vibro-ripper to its housing. Impact loads derived by TPA for different housing parts were compared with those in the tooth derived from load-cell measurements, validating the TPA method. As a result of the verification, the impact load calculated by the TPA method was 193.7 kN, whereas that from the striking force measured by the load cell was 220 kN, a difference of 12.3%. The results of this study may be important input values for numerical analysis in equipment design and can be used as key data for structural safety evaluation and optimization. In summary, this paper introduces the vibration-based TPA method and considers its applicability to construction machinery exposed to impact vibration and loads. Full article
(This article belongs to the Special Issue Signal Acquisition and Processing for Measurement and Testing)
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