Optimizing Gammatone Cepstral Coefficients for Gear Fault Detection by Zrar Kh Abdul, Abdulbasit K. Al-Talabani, Wisam Hazim Gwad, Entisar Alkayal, Halgurd S. Maghdid, Safar Maghdid Asaad

“…Cepstral features, such as Gammatone Cepstral Coefficients (GTCC), have recently been applied in fault detection and diagnosis. …”
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Signal Detection by Sensors and Determination of Friction Coefficient During Brake Lining Movement by Leopold Hrabovský, Vieroslav Molnár, Gabriel Fedorko, Nikoleta Mikusova, Jan Blata, Jiří Fries, Tomasz Jachowicz

“…This article presents a laboratory device by which the course of two signals can be detected using two types of sensors—strain gauges and the DEWESoft DS-NET measuring apparatus. …”
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Abnormal Power Fluctuation Detection of Wind Turbines Based on Subband Processing and Correlation Coefficient by CHEN Gang, HU Kaikai, CHEN Yanan, ZHANG Jiayou, XIONG Wenhao

“…Wind turbine power signals are nonlinear and non-stationary signals, and their abnormal fluctuation Frequencies are uncertain, which makes it difficult to extract and detect abnormal power fluctuation features. This paper proposes a method for detecting abnormal power fluctuations of wind turbine based on subband processing and correlation coefficient. …”
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Mutual clustering coefficient-based suspicious-link detection approach for online social networks by Mudasir Ahmad Wani, Suraiya Jabin

“…In this paper, a classification system based on mutual clustering coefficient and profile information of users has been presented to detect the suspicious links within the user communities. …”
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A playback speech detection algorithm based on log inverse Mel-frequency spectral coefficient by Lang LIN, Rangding WANG, Diqun YAN, Can LI

“…The popularity and portability of high-fidelity audio recording equipment and playback equipment poses a serious challenge for speaker recognition systems against playback attacks.Based on the differences between the original speech and the playback speech in high frequency region,the algorithm reversed the Mel-filter bank in Mel-frequency cepstral coefficient (MFCC) calculation,and the coefficients before the DCT were used as the features of the algorithm.SVM was utilized as the classifier.Experimental results show that this algorithm can effectively detect the playback speech.In addition,the algorithm is integrated into the GMM-UBM speaker recognition system,which significantly improves the systems’ capability of resisting the playback attack.…”
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Anomaly detection and confidence interval‐based replacement in decay state coefficient of ship power system by Xingshan Chang, Xinping Yan, Bohua Qiu, Muheng Wei, Jie Liu, Hanhua Zhu

Subjects: “…anomaly trend detection and prediction…”
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Early Detection of Failing Lead-Acid Automotive Batteries Using the Detrended Cross-Correlation Analysis Coefficient by Thiago B. Murari, Roberto C. da Costa, Hernane B. de B. Pereira, Roberto L. S. Monteiro, Marcelo A. Moret

“…The proposed method employs the Detrended Cross-Correlation Analysis Coefficient for end-of-life detection by analyzing the cross-correlation of voltage signals from batteries in different states of health. …”
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Detection of Copy-Move Image Forgery Using Local Binary Pattern from Detailed Wavelet Coefficient by Daljeet Kaur, Ajay Lala, Kamaljeet Singh Kalsi

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Research on distributed cooperative algorithm based on signal-to-noise ratio coefficient with double thresholds by Li Zhanxiong, Liu Liping, Fang Liang, Lv Jiafeng, Wang Ci

Subjects: “…energy detection…”
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Improved railway track faults detection using Mel-frequency cepstral coefficient and constant-Q transform features by Rahman Shafique, Khadija Kanwal, Venkata Chunduri, Gyu Sang Choi, Imran Ashraf

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An Efficient Technique for Compressing ECG Signals Using QRS Detection, Estimation, and 2D DWT Coefficients Thresholding by Mohammed Abo-Zahhad, Sabah M. Ahmed, Ahmed Zakaria

“…This paper presents an efficient electrocardiogram (ECG) signals compression technique based on QRS detection, estimation, and 2D DWT coefficients thresholding. …”
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A Copy-Move Forgery Detection System Using Deep Learning based CNN model and Approximation Wavelet Coefficient by Daljeet Kaur, Kamaljeet Singh Kalsi, Vimmi Pandey

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Comparing the Accuracy and Reliability of Detecting the Intensity of Spinal Inflammation on STIR Sequence with Apparent Diffusion Coefficient Values in Axial Spondyloarthritis by Ho Yin Chung, Tommy Tsang Cheung, Vince Wing Hang Lau, Kam Ho Lee, Florence King Pui Chan

“…Objective: To compare the accuracy and reliability of detecting the intensity of spinal inflammation on short tau inversion recovery (STIR) with the apparent diffusion coefficient (ADC) values of the active magnetic resonance imaging (MRI) lesions in axial spondyloarthritis (axSpA). …”
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Rapid video copy detection on compressed domain by ZHANG Yong-dong, ZHANG Dong-ming, GUO Jun-bo, TANG Sheng

Subjects: “…video copy detection…”
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Frequency Domain Sampling Optimization of Cable Defect Detection and Location Method Based on Exponentially Increased Frequency Reflection Coefficient Spectrum by Kuangyi Jiang, Kai Zhou, Xiang Ren, Yefei Xu

“…The existing linear frequency increment cable defect detection method using frequency domain reflectometry suffers from severe pseudo-peak phenomena due to non-targeted frequency domain sampling, which interferes with diagnosis. …”
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MODERN METHODS OF AUTOMATIC RECTANGLE OBJECTS DETECTION by E. S. Matusevich, I. E. Kheidorov

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An experimental study of the application of the spectral acoustic method to the advance detection of geologic structures in tunnelling working site by Jianguo ZHANG, Zhicheng FENG, Fengqing WEI, Ji MA, Kai ZHAO, Man WANG, Minggong GUO, ШИЛОВ Владимир Иванович

“…The former refers to the case where the coefficients exceed the critical value in either the hanging wall or the footwall of the fault, while the latter denotes that the coefficients exceed the critical value in both the hanging wall and footwall of the fault. …”
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Experimental research on a direct-detection optical OFDM system based on cascaded variable coefficient training sequences and pre-emphasis technique by Wei WU, Jiang-nan XIAO, Ming CHEN, Jian-jun YU, Lin CHEN

“…Frequency selective fading (FF)caused by digital to analog converter and optical fibe dispersion in optical fiber link was analysed,and signal-signal mixing interference (SSMI) when the orthogonal frequency division multiplex-ing (OFDM) signal was detected by PIN after transmitting over the fiber in direct-detection optical OFDM system.The cascaded variable coefficient training sequences and pre-emphasized configuration of O-OFDM signal were proposed to decrease the influence of the SSMI and FF.The theoretical analysis and experimental results show that the receiving sen-sitivity of the cascaded variable coefficient training sequences and pre-emphasized configuration of OFDM signal is higher than the interleaved configuration of training ed that the fiber transmission performance of the cascaded variable coefficient training sequences and pre-emphasized configuration of O-OFDM signal is better than the interleaved configuration of training sequence of OFDM signal in ro-bust tolerance against SSMI and FF.…”
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Experimental research on a direct-detection optical OFDM system based on cascaded variable coefficient training sequences and pre-emphasis technique by Wei WU, Jiang-nan XIAO, Ming CHEN, Jian-jun YU, Lin CHEN

“…Frequency selective fading (FF)caused by digital to analog converter and optical fibe dispersion in optical fiber link was analysed,and signal-signal mixing interference (SSMI) when the orthogonal frequency division multiplex-ing (OFDM) signal was detected by PIN after transmitting over the fiber in direct-detection optical OFDM system.The cascaded variable coefficient training sequences and pre-emphasized configuration of O-OFDM signal were proposed to decrease the influence of the SSMI and FF.The theoretical analysis and experimental results show that the receiving sen-sitivity of the cascaded variable coefficient training sequences and pre-emphasized configuration of OFDM signal is higher than the interleaved configuration of training ed that the fiber transmission performance of the cascaded variable coefficient training sequences and pre-emphasized configuration of O-OFDM signal is better than the interleaved configuration of training sequence of OFDM signal in ro-bust tolerance against SSMI and FF.…”
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Rapid Diagnosis of Distributed Acoustic Sensing Vibration Signals Using Mel-Frequency Cepstral Coefficients and Liquid Neural Networks by Haitao Liu, Yunfan Xu, Yuefeng Qi, Haosong Yang, Weihong Bi

“…The proposed MFCC-LNN pipeline also demonstrates strong cross-domain generalization capabilities in pipeline monitoring, seismic detection, and speech signal processing.…”
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