Search Results - Statistical Signal Processing

Application of stochastic methods, wavelet transformations and support vectors for the study of electroencephalogram signals by Veronika V. Tolmanova, Denis A. Andrikov

“…This study explores the application of modern data processing methods - wavelet transformation, stochastic methods, and Support Vector Machine (SVM) - on real electroencephalogram (EEG) signals from open databases. …”
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Potential Accuracy of Echo-Signal Delay Measurement by Space-Based Radar Altimeter by D. S. Borovitsky, A. E. Zhesterev, V. P. Ipatov, R. M. Mamchur

“…Substantial contribution to the satellite altimeter error is made by a component associated with noise and random nature of the echo-signal itself. When simulating a scattering surface with an array of specular points the altimeter echo-signal represents Gaussian process waveform received against AWGN. …”
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Investigation of the Applicability of Acoustic Emission Signals for Adaptive Control in CNC Wood Milling by Miroslav Dado, Peter Koleda, František Vlašic, Jozef Salva

“…The statistical analysis confirmed a significant relationship between AE signal magnitude and cutting conditions. …”
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Use of a spatially distributed in-phase antenna to increase the noise immunity of signal reception by G. V. Kulikov, Yu. A. Polevoda, M. S. Kostin

“…The probability of a bit error when receiving discrete information using the proposed antenna is estimated.Conclusions. The proposed signal processing algorithm on the receiving side can be used to partially compensate for the influence of the multipath effect. …”
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A Statistical Framework to Detect and Quantify Operator-Learning Curves in Medical Device Safety Evaluation by Ssemaganda HC, Davis SE, Govindarajulu US, Koola JD, Mao J, Westerman DM, Perkins AM, Speroff T, Ramsay CR, Sedrakyan A, Ohno-Machado L, Matheny ME, Resnic FS

“…Correctly attributing safety signals to learning or device effects allows for appropriate corrective actions and recommendations to improve patient safety.Objective: To develop and assess the statistical performance of an analytic framework to detect the presence of LE and quantify the learning curve (LC).Design and Setting: We generated synthetic datasets based on observed clinical distributions and complex feature correlations among patients hospitalized at US Department of Veterans Affairs facilities. …”
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Noise immunity of signal reception with multiple frequency-shift keying against retransmitted interference by A. E. Troitskaya, Yu. A. Polevoda, G. V. Kulikov

“…The statistical parameters of the distributions of random processes occurring in a multichannel coherent receiver of M-FSK signals against retransmitted interference are obtained; based on this, the bit error rate is calculated when receiving M-FSK signals of different positionality M against retransmitted interference with different intensities.Conclusions. …”
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Random Matrix Theory Predictions of Dominant Mode Rejection SINR Loss due to Signal in the Training Data by Christopher C. Hulbert, Kathleen E. Wage

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A Lifting Wavelet Domain Audio Watermarking Algorithm Based on the Statistical Characteristics of Sub-Band Coefficients by Zhi TAO, He-ming ZHAO, Jun WU, Ji-hua GU, Yi-shen XU, Di WU

“…Experiments show that the embedded watermark has better robustness against common signal processing attacks than present algorithms based on LWT and can resist random cropping in particular.…”
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The evaluation of the possibility of the estimation the amount of hemagglutininin in the final lots of inactivated adjuvanted influenza vaccines by Aleksey Y. Butirskiy, Elena N. Morozova, Karine A. Sarkisyan

“…The analysis of the statistical process control and stability by control charts plays an important role in the release of influenza vaccines. …”
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Development of an Algorithm for Clustering Cardiac ECG Signals with Post-Correction for Long-Term ECG Monitoring by I. A. Kondratyeva, A. S. Krasichkov, O. A. Stancheva, E. Mbazumutima, F. Shikema, E. M.

“…Development of an algorithm for automated ECG processing,  which performs clustering of cardiac signals by dividing the ECG into complexes of similar cardiac signals.Materials and methods. …”
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Enhanced bearing health indicator extraction using slope adaptive signal decomposition for predictive maintenance by Dev Bhanushali, Pooja Kamat, Harsh Dhiman

“…Leveraging advanced signal processing techniques such as dynamic Savitzky-Golay filtering, segmentation, and trend-based recalibration, SASD achieves superior noise attenuation while preserving critical trends. …”
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Method of estimation of frequency parameters of ultra-wideband signals with an unknown spectrum shape in the presence of interference by The Tuan Doan, Pavel A. Trifonov

“…One of the urgent tasks of processing ultra-wideband signals is the assessment of their frequency parameters in complex signal-noise conditions. …”
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Effect of synchronization system errors on the reception noise immunity of amplitude-phase shift keyed signals by G. V. Kulikov, X. Kh. Dang, A. G. Kulikov

“…An important role in the reception of APSK signals, as well as the signals of other coherent signal processing systems, is played by the stability of synchronization systems. …”
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The role of statistics in advancing nitric oxide research in plant biology: from data analysis to mechanistic insights by Halah Fadhil Hussein AL-Hakeem, Murtaza Khan

“…Nitric oxide (NO), a key signaling molecule in plants, induces various biological and biochemical processes, including growth and development, adaptive responses, and signaling pathways. …”
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Acoustic emission in PZT ceramic in poling process by M. ALEKSIEJUK

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Noise indicators for corona acoustic signal from power lines - estimation in intensified interference conditions by Tadeusz WSZOŁEK

“…In this work a practical realization is described for estimation of corona noise indicators, making use of the statistic spectrum measurement. High efficiency of such an approach has been shown, especially in favorable weather conditions, when the acoustic signal of corona process is relatively low, while the random interference level may be intensified. …”
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A Novel Framework for Solar Irradiance Prediction Integrating Signal Decomposition With Hybrid Time-Series Models by Keng-Hsi Lin, Po-Yen Hsu, Po-Han Chen, Mu-Yen Chen

“…This study aims to improve the accuracy of solar irradiance forecasting by integrating signal decomposition techniques with deep learning and statistical models. …”
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Influence of phase and clock synchronization errors on the noise immunity of coherent reception of signals with quadrature amplitude modulation by G. V. Kulikov, A. A. Lelyukh, E. V. Batalov

“…The paper investigates the effect of phase and clock synchronization errors on the noise immunity of coherent reception of QAM signals. Using the methods of statistical radio engineering, the parameters of the distributions of processes in the receiver are obtained and the probability of bit error is estimated. …”
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Influence of amplitude and phase imbalance of quadratures on the noise immunity of coherent reception of signals with quadrature amplitude modulation by G. V. Kulikov, A. A. Lelyukh

“…The paper investigates the influence of amplitude and phase errors in the formation of quadrature oscillations (imbalance of quadratures) on the noise immunity of coherent reception of QAM signals. Using the methods of statistical radio engineering the parameters of the distributions of processes in the receiver are obtained, and the probability of a bit error is estimated. …”
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Improving the accuracy of remotely sensed TSS and turbidity using quality enhanced water reflectance by a statistical resampling technique by Kunwar Abhishek Singh, Dongryeol Ryu, Meenakshi Arora, Manoj Kumar Tiwari, Bhabagrahi Sahoo

“…However, due to the weak reflectance and resulting low signal-to-noise ratio of water bodies, interference of clouds and cloud shadows significantly impacts the accuracy of remotely sensed water quality parameters. …”
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