Tensor-based approach to the co-prime planar array signal processing by Wei RAO, Yufeng GUI, Dan LI

“…For the co-prime planar array (CPPA) consisting of two sparse uniform rectangular array (URA),a new processing method based on tensor algebra was proposed to enhance the degrees of freedom (DoF).By dividing each URA into some overlapping subarrays,the received signals of two URAs were expressed as two tensors.And then the cross-correlation between such two tensors was processed into a received signal tensor of the virtual array.Analysis show that by the new method,the CPPA with 2 ²L -1 physical elements can be transformed into a virtual sparse non-uniform planar array with<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mfrac> <mrow> <msup> <mrow> <mo stretchy="false">(</mo><mi>L</mi><mo>+</mo><mn>1</mn><mo stretchy="false">)</mo></mrow> <mrow> <mtext> </mtext><mn>4</mn></mrow> </msup> </mrow> <mrow> <mn>16</mn></mrow> </mfrac> </math></inline-formula>elements.For the virtual array,the tensor decomposition-based approach for estimating the two-dimensional (2-D) direction of arrival (DoA) of the incident signal is also proposed,which means 2-D spectral peak searching is avoided.Compared with the co-prime planar signal processing methods reported in the literature,the proposed method can increase the DoF from L ²to<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mfrac> <mrow> <msup> <mrow> <mo stretchy="false">(</mo><mi>L</mi><mo>+</mo><mn>1</mn><mo stretchy="false">)</mo></mrow> <mrow> <mtext> </mtext><mn>4</mn></mrow> </msup> </mrow> <mrow> <mn>16</mn></mrow> </mfrac> <mo>+</mo><mn>1</mn> </math></inline-formula>,and has the better performance of the 2-D DoA estimation and lower computational complexity.Simulation results demonstrate the efficiency of the proposed method.…”
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Versatile parallel signal processing with a scalable silicon photonic chip by Shihan Hong, Jiachen Wu, Yiwei Xie, Xiyuan Ke, Huan Li, Linyan Lyv, Yingying Peng, Qingrui Yao, Yaocheng Shi, Ke Wang, Leimeng Zhuang, Pan Wang, Daoxin Dai

“…Abstract Silicon photonic signal processors promise a new generation of signal processing hardware with significant advancements in processing bandwidth, low power consumption, and minimal latency. …”
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Optimal Speech Signal Processing Based on Dynamic Multi-Scale Analysis by Zefei Guo, Xiao Li, Yuchen Zhang

“…To enhance the quality of speech signals, this paper introduces a novel speech signal processing method that integrates Dynamic Multi-Scale (DMS) and Adaptive Error Minimization (AEM) techniques. …”
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Guest editorial: Advanced signal processing for integration of radar and communication (IRC) by Bin Liao, Wei Liu, Ziyang Cheng, Tianyao Huang

“…IET Signal Processing…”
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An efficient real-time signal processing method for satellite laser ranging. by Jinyu Wang, Wei Zhu, Weiming Gong

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Integration in CNN and FIR filters for improved computational efficiency in signal processing by A. Sridevi, A. Sathiya

“…The incorporation of the Vedic multiplier into the CNN framework reveals the application of the proposed idea in the field of biomedical signal processing with improved computational speed and accuracy. …”
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Signal Processing-Free Intelligent Model for Power Quality Disturbances Identification by Mohammed F. Al-Mashdali, Asif Islam, Abdulbasit Hassan, Md Shafiullah, Mujahed Al-Dhaifallah, Khalid Al Fuwail

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An efficient target detection algorithm via Karhunen‐Loève transform for frequency modulated continuous wave (FMCW) radar applications by Luoyan Zhu, Yinsheng Liu, Danping He, Ke Guan, Bo Ai, Zhangdui Zhong, Xi Liao

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Low probability of intercept‐based cooperative node selection and transmit resource allocation for multi‐target tracking in multiple radars architecture by Lintao Ding, Chenguang Shi, Fei Wang, Jianjiang Zhou

Subjects: “…radar signal processing…”
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Spectrally compatible multiple‐input multiple‐output radar waveform design based on alternating direction method of multipliers by Rui Yang, Hong Jiang, Qi Zhang, Liangdong Qu

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AI-Driven Signal Processing for SF6 Circuit Breaker Performance Optimization by Philippe A. V. D. Liz, Giovani B. Vitor, Ricardo T. Lima, Aurélio L. M. Coelho, Eben P. Silveira

“…This work presents an approach based on signal processing and artificial intelligence (AI) to identify the pre-insertion resistor (PIR) and main contact instants during the operation of high-voltage SF6 circuit breakers to help improve the settings of controlled switching and attenuate transients. …”
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Registration and signal processing in measuring system for monitoring leaks of NPP pipeline fittings by E. A. Abidova, V. I. Ratushny

“…In contrast to the organoleptic approach adopted in practice, automatic signal processing is proposed, followed by a conclusion about the tightness of the valve. …”
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Signal Processing Platforms and Algorithms for Real-Life Communications and Listening to Digital Audio by Alexander Petrovsky, Wanggen Wan, Manuel Rosa-Zurera, Alexey Karpov

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Vibration Signal Processing for Transmission System based on Quantum-inspired Mathematical Morphology by Yang Le

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Binaural speech intelligibility for combinations of noise, reverberation, and hearing-aid signal processing. by James M Kates, Mathieu Lavandier, Ramesh Kumar Muralimanohar, Emily M H Lundberg, Kathryn H Arehart

“…Binaural speech intelligibility in rooms is a complex process that is affected by many factors including room acoustics, hearing loss, and hearing aid (HA) signal processing. Intelligibility is evaluated in this paper for a simulated room combined with a simulated hearing aid. …”
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Efficient Wireless Vibration Data Sensing and Signal Processing Technique Based on the Android Platform by Chan-Seob Park, Ryong Baek, Woong Hoe, Byung-Gyu Kim, Hyun-Jun Lee

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Application of Low-Frequency Processing Method Based on VMD Algorithm in Blasting Signal Processing by Bei Jia, Shenglin Li, Dianshu Liu, Shuaifeng Wu

“…Compared with the LSM method and the EMD method, the signal processed by the VMD method does not have modal mixing and does not have much low-frequency noise residue. …”
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Analog Signal Processing Based on Silicon-Photonics and Its Application in Microwave Photonic Frontend by Minghua Chen, Hongchen Yu, Jingjing Wang, Hongwei Chen, Shizhong Xie

“…Signal processors are one of the significant elements in microwave photonic frontends，which determines the working ability of the entire system in many aspects.The silicon-photonics-based signal processors are especially attractive for their compact size and wonderful performance.The development of silicon-photonics-based signal processing for microwave photonic frontends was reviewed.…”
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Increasing ADC dynamic range in information-measuring systems by methods of digital signal processing by B. V. Chuvykin, M. M. Nikiforov

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Automation of signal processing of electric field intensity sensors included in information-measuring system by S. S. Kolmogorova, D. S. Baranov, A. S. Kolmogorov, S. V. Biryukov

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