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001461961 001__ 1461961
001461961 003__ OCoLC
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001461961 019__ $$a1374243206
001461961 020__ $$a9789819912605$$q(electronic bk.)
001461961 020__ $$a9819912601$$q(electronic bk.)
001461961 020__ $$z9789819912599
001461961 020__ $$z9819912598
001461961 0247_ $$a10.1007/978-981-99-1260-5$$2doi
001461961 035__ $$aSP(OCoLC)1374430597
001461961 040__ $$aEBLCP$$beng$$cEBLCP$$dGW5XE$$dYDX$$dOCLCF
001461961 049__ $$aISEA
001461961 050_4 $$aTK5101.A1
001461961 08204 $$a621.382$$223/eng/20230407
001461961 1112_ $$aInternational Conference on Communications, Signal Processing, and Systems$$n(11th :$$d2022 :$$cChangbaishan, China)
001461961 24510 $$aCommunications, signal processing, and systems :$$bproceedings of the 11th International Conference on Communications, Signal Processing, and Systems.$$nVol. 2 /$$cQilian Liang, Wei Wang, Xin Liu, Zhenyu Na, Baoju Zhang, editors.
001461961 260__ $$aSingapore :$$bSpringer,$$c2023.
001461961 300__ $$a1 online resource (376 p.).
001461961 4901_ $$aLecture notes in electrical engineering ;$$v873
001461961 500__ $$a4.1 Experimental Principle and Steps
001461961 500__ $$aIncludes author index.
001461961 5050_ $$aIntro -- Contents -- Synthetic Aperture Radar Image Ship Detection Based on YOLO-SARshipNet -- 1 Introduction -- 2 Model Structure and Improvement Methods -- 2.1 Backbone -- 2.2 Feature Pyramid Networks -- 2.3 Loss Function -- 2.4 Feature Distillation -- 3 Experimental Results and Discussion -- 3.1 Dataset and Experiment Setup -- 3.2 Experiment Results -- 3.3 Ablation Experiment -- 4 Conclusion -- References -- Target Recognition and Tracking Based on Point Cloud Fusion of Automotive Millimeter-Wave Radar and Camera -- 1 Introduction -- 2 Methodology
001461961 5058_ $$a2.1 Point Cloud Clustering Algorithm Based on Automotive Millimeter Wave Radar -- 2.2 Monocular Depth Estimation Algorithm Based on Distance-Pixel -- 2.3 Target Recognition and Tracking Algorithm -- 3 Experiment and Analysis -- 3.1 Experiment on the Range-Pixel-Based Monocular Depth Estimation Algorithm -- 3.2 Experiment on the Target Recognition and Tracking Algorithm -- 4 Conclusion -- References -- Micro-doppler Feature Extraction of UAVs Based on Synchrosqueezed Transform and Ridge Path Regrouping -- 1 Introduction -- 2 UAV Blade Echo Signal Model -- 2.1 Geometric Model
001461961 5058_ $$a2.2 Echo Signal Model -- 3 Micro-doppler Feature Extraction Method -- 3.1 Synchrosqueezed Transform -- 3.2 Extraction Algorithm -- 4 Experiment and Analysis on UAV Blade Micro-doppler -- 4.1 Parameter Setting for the Simulation Experiment -- 4.2 Experiment Result and Analysis -- 5 Conclusion -- References -- Radial Basis Function Neural Network Based Fast Directional Modulation Design -- 1 Introduction -- 2 Review of Directional Modulation Based on a Traditional Optimisation Method -- 2.1 Principle of Narrowband Beamforming
001461961 5058_ $$a2.2 DM Design Based on a Traditional Optimisation Method for a Given Array Geometry -- 3 Directional Modulation Design Based on RBF Neural Network -- 3.1 The RBF Neural Network Model -- 3.2 Orthogonal Least Squares Training Algorithm for RBF Networks -- 4 Simulation Results -- 5 Conclusions -- References -- A Precoding Algorithm Based on Weighted MMSE for MmWave MU-MIMO System with Discrete Lens Array -- 1 Introduction -- 2 System Model and Problem Formulation -- 2.1 Beamspace MU-MIMO System Model -- 2.2 Problem Formulation -- 3 Proposed Precoding Algorithm Based on Weighted MMSE
001461961 5058_ $$a3.1 The Relationship Between Received MMSE and SE -- 3.2 Problem Reformulation -- 3.3 Proposed Precoding Alogrithm -- 4 Simulation Results and Analysis -- 5 Conclusion -- References -- Directional Modulation Design Based on Hybrid Beamforming Structure for Massive MIMO -- 1 Introduction -- 2 DM Design Based on Interleaved Subarrays -- 3 Design Examples -- 4 Conclusions -- References -- Research on Ranging Range Based on Binocular Stereo Vision Plane-Space Algorithm -- 1 Introduction -- 2 Plane-Space Algorithm -- 3 Surface Constraints -- Range Sweep Algorithm -- 4 Experimental Analysis
001461961 506__ $$aAccess limited to authorized users.
001461961 520__ $$aThis book brings together papers presented at the 2021 International Conference on Communications, Signal Processing, and Systems, Changbaishan, China, July 23-24, 2022, which provides a venue to disseminate the latest developments and to discuss the interactions and links between these multidisciplinary fields. Spanning topics ranging from communications, signal processing and systems, this book is aimed at undergraduate and graduate students in Electrical Engineering, Computer Science and Mathematics, researchers and engineers from academia and industry as well as government employees (such as NSF, DOD and DOE).
001461961 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 7, 2023).
001461961 650_0 $$aTelecommunication$$vCongresses.
001461961 650_0 $$aSignal processing$$vCongresses.
001461961 650_0 $$aElectronic systems$$vCongresses.
001461961 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001461961 655_0 $$aElectronic books.
001461961 7001_ $$aLiang, Qilian.
001461961 7001_ $$aWang, Wei.
001461961 7001_ $$aLiu, Xin$$c(Editor on Artificial Intelligence)
001461961 7001_ $$aZhang, Baoju.
001461961 77608 $$iPrint version:$$aLiang, Qilian$$tCommunications, Signal Processing, and Systems$$dSingapore : Springer,c2023$$z9789819912599
001461961 830_0 $$aLecture notes in electrical engineering ;$$vv. 873.
001461961 852__ $$bebk
001461961 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-1260-5$$zOnline Access$$91397441.1
001461961 909CO $$ooai:library.usi.edu:1461961$$pGLOBAL_SET
001461961 980__ $$aBIB
001461961 980__ $$aEBOOK
001461961 982__ $$aEbook
001461961 983__ $$aOnline
001461961 994__ $$a92$$bISE