Integrated sensing and communication(ISAC)is one of the main usage scenarios for 6G wireless networks.To most efficiently utilize the limited wireless resources,integrated super-resolution sensing and communication(IS...Integrated sensing and communication(ISAC)is one of the main usage scenarios for 6G wireless networks.To most efficiently utilize the limited wireless resources,integrated super-resolution sensing and communication(ISSAC)has been recently proposed to significantly improve sensing performance with super-resolution algorithms for ISAC systems,such as the Multiple Signal Classification(MUSIC)algorithm.However,traditional super-resolution sensing algorithms suffer from prohibitive computational complexity of orthogonal-frequency division multiplexing(OFDM)systems due to the large dimensions of the signals in the subcarrier and symbol domains.To address such issues,we propose a novel two-stage approach to reduce the computational complexity for super-resolution range estimation significantly.The key idea of the proposed scheme is to first uniformly decimate signals in the subcarrier domain so that the computational complexity is significantly reduced without missing any target in the range domain.However,the decimation operation may result in range ambiguity due to pseudo peaks,which is addressed by the second stage where the total collocated subcarrier data are used to verify the detected peaks.Compared with traditional MUSIC algorithms,the proposed scheme reduces computational complexity by two orders of magnitude,while maintaining the range resolution and unambiguity.Simulation results verify the effectiveness of the proposed scheme.展开更多
Neuromyotonia is a neuromuscular hyperexitability disorder characterized by muscle stiffness caused by continuous muscle fiber activity. It is an immune mediated disorder with elevated antibody level against presynapt...Neuromyotonia is a neuromuscular hyperexitability disorder characterized by muscle stiffness caused by continuous muscle fiber activity. It is an immune mediated disorder with elevated antibody level against presynaptic, voltage gated potassium channels, either as isolation or as a paraneoplastic process. Symptoms usually include muscle twitching during rest (myokymia), cramps, peudomyotonia (delayed relaxation), increased sweating, and sometimes motor weakness. In this case report, we present a seventy-two years old man who presented with pain in both thighs for one month. It gradually became worse to involve feet and chest. His brain CT scan showed features of brain atrophy. EMG showed fasciculation along neuromyotonic discharges with characteristic wave in frequency and amplitude typical of Isaacs’ syndrome. Potassium channel antibodies were very high. Diagnosis of Isaacs’ syndrome was made. He was followed up for two months with treatment by three-day course of methyl prednisolone followed by oral steroid and methotrexate with much improvement. This is the first case of Isaacs’ syndrome in Kurdistan.展开更多
基金supported by the National Natural Science Foundation of China under Grant No.62071114.
文摘Integrated sensing and communication(ISAC)is one of the main usage scenarios for 6G wireless networks.To most efficiently utilize the limited wireless resources,integrated super-resolution sensing and communication(ISSAC)has been recently proposed to significantly improve sensing performance with super-resolution algorithms for ISAC systems,such as the Multiple Signal Classification(MUSIC)algorithm.However,traditional super-resolution sensing algorithms suffer from prohibitive computational complexity of orthogonal-frequency division multiplexing(OFDM)systems due to the large dimensions of the signals in the subcarrier and symbol domains.To address such issues,we propose a novel two-stage approach to reduce the computational complexity for super-resolution range estimation significantly.The key idea of the proposed scheme is to first uniformly decimate signals in the subcarrier domain so that the computational complexity is significantly reduced without missing any target in the range domain.However,the decimation operation may result in range ambiguity due to pseudo peaks,which is addressed by the second stage where the total collocated subcarrier data are used to verify the detected peaks.Compared with traditional MUSIC algorithms,the proposed scheme reduces computational complexity by two orders of magnitude,while maintaining the range resolution and unambiguity.Simulation results verify the effectiveness of the proposed scheme.
文摘Neuromyotonia is a neuromuscular hyperexitability disorder characterized by muscle stiffness caused by continuous muscle fiber activity. It is an immune mediated disorder with elevated antibody level against presynaptic, voltage gated potassium channels, either as isolation or as a paraneoplastic process. Symptoms usually include muscle twitching during rest (myokymia), cramps, peudomyotonia (delayed relaxation), increased sweating, and sometimes motor weakness. In this case report, we present a seventy-two years old man who presented with pain in both thighs for one month. It gradually became worse to involve feet and chest. His brain CT scan showed features of brain atrophy. EMG showed fasciculation along neuromyotonic discharges with characteristic wave in frequency and amplitude typical of Isaacs’ syndrome. Potassium channel antibodies were very high. Diagnosis of Isaacs’ syndrome was made. He was followed up for two months with treatment by three-day course of methyl prednisolone followed by oral steroid and methotrexate with much improvement. This is the first case of Isaacs’ syndrome in Kurdistan.
