Modified Anderson-Darling Test-Based Target Detector in Non-Homogenous Environments by Yang Li, Yinsheng Wei, Bingfei Li, Gil Alterovitz

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Special Issue “Analysis for Power Quality Monitoring” by Juan-José González de-la-Rosa, Manuel Pérez-Donsión

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Radar working-state identification using the hidden Markov model by Wei Zhang, Youbing Gao, Kun Zheng

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Low-complexity DOA estimation method for a co-prime linear array by Xuchen Wu, Xiaopeng Yang, Bowen Han, Feng Xu

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Off-Grid DOA Estimation Aiding Virtual Extension of Coprime Arrays Exploiting Fourth Order Difference Co-Array With Interpolation by Tarek Hasan Al Mahmud, Zhongfu Ye, Kashif Shabir, Rui Zheng, Md. Shohidul Islam

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One-Bit Direct Position Determination of Narrowband Gaussian Signals by Weiss, Amir, Wornell, Gregory W

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Application of Tensor Train Decomposition in S2VT Model for Sign Language Recognition by Biao Xu, Shiliang Huang, Zhongfu Ye

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Interpolating Coprime Arrays With Translocated and Axis Rotated Compressed Subarrays by Iterative Power Factorization for DOA Estimation by Tarek Hasan Al Mahmud, Kashif Shabir, Rui Zheng, Zhongfu Ye

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Asymptotic Mean and Variance of Gini Correlation Under Contaminated Gaussian Model by Rubao Ma, Weichao Xu, Shun Liu, Yun Zhang, Jianbin Xiong

“…The newly explored theoretical and simulational findings not only deepen the understanding of the rather new GC, but also shed new light on the topic of correlation theory, which is widely applied in statistical signal processing.…”
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Radar Signal Processing / by Lope, Joneller, author 639719

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Non-convex optimization for the design of sparse FIR filters by Wei, Dennis

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Divergence Measures: Mathematical Foundations and Applications in Information-Theoretic and Statistical Problems by Igal Sason

“…Data science, information theory, probability theory, statistical learning, statistical signal processing, and other related disciplines greatly benefit from non-negative measures of dissimilarity between pairs of probability measures [...]…”
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Comparative Performance Analysis of Three Algorithms for Principal Component Analysis by A. Mohammed, R. Landqvist

“…Principal Component Analysis (PCA) is an important concept in statistical signal processing. In this paper, we evaluate an on-line algorithm for PCA, which we denote as the Exact Eigendecomposition (EE) algorithm. …”
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Real-time noise cancelling approach on innovations-based whitening application to adaptive FIR RLS in beamforming structure by Jeong, Jinsoo

“…The techniques for noise cancellation have been developed with applications in signal processing, such as homomorphic signal processing, sensor array signal processing and statistical signal processing. Some exemplar applications may be found from kepstrum (also known as complex ceptstrum) method, beamforming and ANC (adaptive noise cancelling).…”

Assessment of bowel cleansing quality in colon capsule endoscopy using machine learning: a pilot study by Maria Magdalena Buijs, Mohammed Hossain Ramezani, Jürgen Herp, Rasmus Kroijer, Morten Kobaek-Larsen, Gunnar Baatrup, Esmaeil S. Nadimi

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Accelerated parallel magnetic resonance imaging reconstruction using joint estimation with a sparse signal model by Weller, Daniel S., Polimeni, Jonathan R., Grady, Leo, Wald, Lawrence L., Adalsteinsson, Elfar, Goyal, Vivek K.

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Decentralized detection

“…"To appear in Advances in Statistical Signal Processing, Vol. 2: Signal Detection, H.V. …”
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Academic press library in signal processing / by Diniz, Paulo S. R., editor, Sidiropoulos, Nicholas D., editor, Zoubir, Abdelhak M., editor, Srivastava, Ankur, editor

Joint Estimation and Decoding of Space-Time Trellis Codes by Zhang Jianqiu, Djurić Petar M

“…<p/> <p>We explore the possibility of using an emerging tool in statistical signal processing, sequential importance sampling (SIS), for joint estimation and decoding of space-time trellis codes (STTC). …”
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Spectrum Sensing Based on Higher Order Cumulants and Kurtosis Statistics Tests in Cognitive Radio by R. Bozovic, M. Simic

“…The cumulants represent statistical signal processing based on pattern recognition for signals of different structure, and has low implementation complexity. …”
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