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Signal modeling and impulse response shaping for semiconductor detectors 被引量:4
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作者 Xue-Yuan Wang Jian-Bin Zhou +4 位作者 Ming Wang Huai-Ping Wang Xu Hong Yi Liu Ping Huang 《Nuclear Science and Techniques》 SCIE EI CAS CSCD 2022年第4期72-82,共11页
The output-signal models and impulse response shaping(IRS)functions of semiconductor detectors are important for establishing high-precision measurement systems.In this paper,an output-signal model for semiconductor d... The output-signal models and impulse response shaping(IRS)functions of semiconductor detectors are important for establishing high-precision measurement systems.In this paper,an output-signal model for semiconductor detector systems is proposed.According to the proposed model,a multistage cascade deconvolution IRS algorithm was developed using the C-R inverse system,R-C inverse system,and differentiator system.The silicon drift detector signals acquired from the analog-to-digital converter were tested.The experimental results indicated that the shaped pulses obtained using the proposed model had no undershoot,and the average peak base width of the output shaped pulses was reduced by 36%compared with that for a simple model proposed in a previous work[1].Offline processing results indicated that compared with the traditional IRS algorithm,the average peak base width of the output shaped pulses obtained using the proposed algorithm was reduced by 11%,and the total elapsed time required for pulse shaping was reduced by 26%.The proposed algorithm avoids recursive calculation.If the sampling frequency of the digital system reaches 100 MHz,the proposed algorithm can be simplified to integer arithmetic.The proposed IRS algorithm can be applied to high-resolution energy spectrum analysis,highcounting rate energy spectrum correction,and coincidence and anti-coincidence measurements. 展开更多
关键词 Output-signal model Impulse response shaping C-R inverse system R-C inverse system Integer arithmetic
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Self-assembly of a new 3D platelike ternary-oxo-cluster:An efficient catalyst for the synthesis of pyrazoles
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作者 Guoping Yang Yufeng Liu +3 位作者 Xiaoling Lin Bangming Ming Ke Li Changwen Hu 《Chinese Chemical Letters》 SCIE CAS CSCD 2022年第1期354-357,共4页
A new metal-oxo-clusters-based inorganic framework[NaCo_(2)Mo_(2)O_(7)(OH)_(3)]_(n)(NaCoMo),named as 3D platelike ternary-oxo-cluster,has been hydrothermally synthesized and characterized by single-crystal X-ray diffr... A new metal-oxo-clusters-based inorganic framework[NaCo_(2)Mo_(2)O_(7)(OH)_(3)]_(n)(NaCoMo),named as 3D platelike ternary-oxo-cluster,has been hydrothermally synthesized and characterized by single-crystal X-ray diffraction structure analysis,FT-IR spectroscopy,powder X-ray diffraction(PXRD),scanning electron microscope(SEM),energy-dispersive X-ray spectroscopy(EDS)analyses,X-ray photoelectron spectroscopy(XPS)and thermogravimetric analysis(TGA).Structure analysis reveals that there are no classical building units in NaCoMo,and the asymmetric units of NaCoMo are directly extended into a new platelike 3D structure.Density functional theory calculations(DFT)indicates that the crystal formation process is exothermic and the structure is extremely stable.In addition,the compound presents excellent catalytic activity in the condensation and cyclization reaction of sulfonyl hydrazides and 1,3-diketones to synthesize pyrazoles,and the yield of the desired product is up to 99%.The successful synthesis of NaCoMo represents the discovery of a new kind of non-classical polyoxometalates. 展开更多
关键词 POLYOXOMETALATES Oxo clusters 3D inorganic framework Condensation reaction PYRAZOLES
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Security Compressed Sensing Image Encryption Algorithm Based on Elliptic Curve
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作者 Anan Jin Xiang Li Qingzhi Xiong 《国际计算机前沿大会会议论文集》 EI 2023年第1期350-360,共11页
Aiming to address the problems of high costs associated with the storage and transmission of environmental monitoring images,as well as potential security risks,this paper proposes a security compressed sensing image ... Aiming to address the problems of high costs associated with the storage and transmission of environmental monitoring images,as well as potential security risks,this paper proposes a security compressed sensing image encryption algorithm based on elliptic curve cryptography.The algorithm introduces elliptic curve encryption technology within a compressed sensing framework,using elliptic curve cryptography to encrypt the matrix during the compression perception acquisition process.This enables secure acquisition of environmental monitoring encrypted images.Therefore,this paper presents a security compressed sensing framework to address security gaps in the compression perception reconstruction process and improve the security of environmental monitoring images.Experimental results show that the proposed algorithm effectively encrypts and reconstructs environmental monitoring images,with high security and resistance to cracking. 展开更多
关键词 Compressed Sensing Elliptic Curve Image Reconstruction Image Encryption Environmental Monitoring
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