17 papers · ranked by Valyu relevance
Radek Martinek, Martina Ladrova, Michaela Sidikova, Rene Jaros + 4 more
'Khosrow Behbehani' 'Radana Kahankova' 'Aleksandra Kawala-Sterniuk' 'Paweł Pławiak'] Analysis of biomedical signals is a very challenging task involving implementation of various advanced signal processing methods. This area is rapidly developing. This paper is a Part III paper, where the most popular and efficient…
Lukas P. A. Arts, Egon. L. van den Broek
The spectral analysis of signals is currently either dominated by the speed-accuracy trade-off or ignores a signal’s often non-stationary character. Here we introduce an open-source algorithm to calculate the fast continuous wavelet transform (fCWT). The parallel environment of fCWT separates scale-independent and…
Theodore W. Berger, Zhe (Sage) Chen, Andrzej Cichocki, Karim G. Oweiss + 2 more
'Karim G. Oweiss' 'Rodrigo Quian Quiroga' 'Nitish V. Thakor'] Signal processing and statistics have been playing a pivotal role in computational neuroscience and neural engineering research. Advances in technology have enabled us to simultaneously record extracellular neuronal signals through hundreds of electrode…
Sergey Edward Lyshevski, Richard Buckley, Christopher Feuerstein, Pedro Silva Girão
'Pedro Silva Girão'] This paper investigates evaluation methodologies and machine reasoning schemes to analyze dynamic electromagnetic spectrum. We research practical and scalable classification of radio frequency signals across high frequency, very high frequency, ultra high frequency and super high frequency bands.…
Zhihui Yuan, Yice Gu, Xuemin Xing, Lifu Chen
Phase difference measurement of sinusoidal signals can be used for phase error calibration of the spaceborne single-pass interferometric synthetic aperture radar (InSAR) system. However, there are currently very few papers devoted to the discussion of phase difference measurement of high-frequency internal calibration…
Radek Martinek, Martina Ladrova, Michaela Sidikova, Rene Jaros + 4 more
'Khosrow Behbehani' 'Radana Kahankova' 'Aleksandra Kawala-Sterniuk' 'Paweł Pławiak'] Advanced signal processing methods are one of the fastest developing scientific and technical areas of biomedical engineering with increasing usage in current clinical practice. This paper presents an extensive literature review of the…
Akmalbek Bobomirzaevich Abdusalomov, Furkat Safarov, Mekhriddin Rakhimov, Boburkhon Turaev + 2 more
'Mekhriddin Rakhimov' 'Boburkhon Turaev' 'Taeg Keun Whangbo' 'Paolo Bellavista'] Speech recognition refers to the capability of software or hardware to receive a speech signal, identify the speaker’s features in the speech signal, and recognize the speaker thereafter. In general, the speech recognition process involves…
Xinyu Wang, Jin Zhao, Xianliang Wu, Jesmin Farzana Khan + 1 more
'Mandoye Ndoye'] This paper aims to explore the difficulty of obtaining source signals from complex mixed signals and the issue that the FastICA algorithm cannot directly decompose the received single-channel mixed signals and distort the signal separation in low signal-to-noise environments. Thus, in this work, a…
Vijay S. Chourasia, Anil Kumar Tiwari
Fetal phonocardiography (fPCG) based antenatal care system is economical and has a potential to use for long-term monitoring due to noninvasive nature of the system. The main limitation of this technique is that noise gets superimposed on the useful signal during its acquisition and transmission. Conventional filtering…
Xianbo Yin, Yang Xu, Xiaowei Sheng, Yan Shen
To suppress noise in signals, a denoising method called AIC-SVD is proposed on the basis of the singular value decomposition (SVD) and the Akaike information criterion (AIC). First, the Hankel matrix is chosen as the trajectory matrix of the signals, and its optimal number of rows and columns is selected according to…
Aleksandra Grzesiek, Karolina Gąsior, Agnieszka Wyłomańska, Radosław Zimroz + 1 more
'Radosław Zimroz' 'Theodore E. Matikas'] Many real-world systems change their parameters during the operation. Thus, before the analysis of the data, there is a need to divide the raw signal into parts that can be considered as homogeneous segments. In this paper, we propose a segmentation procedure that can be applied…
Samuel Akwei-Sekyere, Silvia Comani
The distortion of biomedical signals by powerline noise from recording biomedical devices has the potential to reduce the quality and convolute the interpretations of the data. Usually, powerline noise in biomedical recordings are extinguished via band-stop filters. However, due to the instability of biomedical…
Nicoletta Saulig, Jonatan Lerga, Siniša Miličić, Željka Tomasović
This paper approaches the problem of signal denoising in time-variable noise conditions. Non-stationary noise results in variable degradation of the signal’s useful information content over time. In order to maximize the correct recovery of the useful part of the signal, this paper proposes a denoising method that uses…
Qing-Yuan Xin, Yong-Chen Pei, Huiqi Lu, David Clifton + 4 more
'Chuan Qu' 'Lu-Lu Wang' 'Meng-Yan Luo'] Due to environmental interference and defects in measured objects, measurement signals are frequently affected by unpredictable noise and periodic defects. Moreover, there is a lack of effective methods for accurately distinguishing defect components from measurement signals. In…
Ting-Hua Yi, Hong-Nan Li, Xiao-Yan Zhao
In structural vibration tests, one of the main factors which disturb the reliability and accuracy of the results are the noise signals encountered. To overcome this deficiency, this paper presents a discrete wavelet transform (DWT) approach to denoise the measured signals. The denoising performance of DWT is discussed…
Pavel Lysenko, Andrey Galyaev, Leonid Berlin, Vladimir Babikov + 2 more
The paper considers the problem of detecting and classifying acoustic signals based on information (entropy) criteria. A number of new information features based on time-frequency distributions are proposed, which include the spectrogram and its upgraded version, the reassigned spectrogram. To confirm and verify the…
Chunhui Hao, Yuan Li
Existing speech recognition systems are only for mainstream audio types; there is little research on language types; the system is subject to relatively large restrictions; and the recognition rate is not high. Therefore, how to use an efficient classifier to make a speech recognition system with a high recognition…