• Title/Summary/Keyword: Joint Detection

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A Comparison of Spectrum-Sensing Algorithms Based on Eigenvalues

  • Ali, Syed Sajjad;Liu, Jialong;Liu, Chang;Jin, Minglu
    • Journal of information and communication convergence engineering
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    • v.13 no.4
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    • pp.241-247
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    • 2015
  • Cognitive radio has been attracting increased attention as an effective approach to improving spectrum efficiency. One component of cognitive radio, spectrum sensing, has an important relationship with the performance of cognitive radio. In this paper, after a summary and analysis of the existing spectrum-sensing algorithms, we report that the existing eigenvalue-based semi-blind detection algorithm and blind detection algorithm have not made full use of the eigenvalues of the received signals. Applying multi-antenna systems to cognitive users, we design a variety of spectrum-sensing algorithms based on the joint distribution of the eigenvalues of the received signal. Simulation results validate that the proposed algorithms in this paper are able to detect whether the signal of the primary user exists or not with high probability of detection in an environment with a low signal-to-noise ratio. Compared with traditional algorithms, the new algorithms have the advantages of high detection performance and strong robustness

Low Complexity LSD Scheme for Joint Iterative MIMO Detection (반복 MIMO 검출을 위한 저 복잡도 LSD 기법)

  • Ahmed, Saleem;Kim, Sooyoung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38C no.11
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    • pp.1051-1059
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    • 2013
  • This paper proposes a complexity reduced list sphere decoding (LSD) scheme for joint iterative soft detection scheme for coded MIMO system. The conventional LSD scheme is based on searching the candidates with a fixed radius. However, once the candidate list is full, it is highly probable that the radius can be reduced. By reducing the radius, the complexity can be also reduced. We propose a simple and efficient radius update method for complexity reduction of list version sphere decoding and its application to iterative soft MIMO detection. We evaluate the performance of the proposed scheme with a joint soft-input-soft-ouput iterative MIMO detection in combination with turbo codes. Simulation results show that the proposed methods provide substantial complexity reduction while achieving similar bit error rate (BER) performance as the conventional LSD scheme.

Hardware Design and Implementation of Joint Viterbi Detection and Decoding Algorithm for Bluetooth Low Energy Systems (블루투스 저전력 시스템을 위한 저복잡도 결합 비터비 검출 및 복호 알고리즘의 하드웨어 설계 및 구현)

  • Park, Chul-hyun;Jung, Yongchul;Jung, Yunho
    • Journal of IKEEE
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    • v.24 no.3
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    • pp.838-844
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    • 2020
  • In this paper, we propose an efficient Viterbi processor using Joint Viterbi detection and decoding (JVDD) algorithm for a for bluetooth low energy (BLE) system. Since the convolutional coded Gaussian minimum-shift keying (GMSK) signal is specified in the BLE 5.0 standard, two Viterbi processors are needed for detection and decoding. However, the proposed JVDD scheme uses only one Viterbi processor by modifying the branch metric with inter-symbol interference information from GMSK modulation; therefore, the hardware complexity can be significantly reduced without performance degradation. Low-latency and low-complexity hardware architecture for the proposed JVDD algorithm was proposed, which makes Viterbi decoding completed within one clock cycle. Viterbi Processor RTL synthesis results on a GF55nm process show that the gate count is 12K and the memory unit and the initial latency is reduced by 33% compared to the modified state exchange (MSE).

QRS Detection based on Maximum A-Posterior Estimation (MAP Estimation을 이용한 QRS Detection)

  • 정희교;신건수
    • Journal of Biomedical Engineering Research
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    • v.8 no.2
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    • pp.205-214
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    • 1987
  • In this paper, a mathmatical model for the purpose of QRS detection is considered in the case of the occurence of nonoverlappjng pulse-shaped waveforms corrupted with white noise. The number of waveform, the arrival times, amplitudes, and widths of QRS complexes are regarded as random variables. The joint MAP estimation of all the unknown Quantities consists of linear filtering followed by an optimization procedure. Because the optimization procedure is time-consuming, this procedure is modified so that a threshold test is obtained.

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Performance of Turbo Coded MC-CDMA with Iterative Multiuser Detection and Decoding in a Nonlinear Fading Channel

  • Ghosh C.;Gangopadhyay R.
    • Journal of The Institute of Information and Telecommunication Facilities Engineering
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    • v.2 no.3
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    • pp.17-23
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    • 2003
  • Turbo decoding in combination with detection strategy for Multi Access Interference (MAI) cancellation has been shown to be very effective for MC-CDMA system in Rayleigh multi-path fading environment. This paper reports new simulation results on the efficacy of joint decoding and detection for MC-CDMA in nonlinear and fading channel.

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Performance improvement of multiuser detection using antenna array in CDMA base station

  • Nam, Jong-Gil;Lee, Weon-Chul
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.3B
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    • pp.472-486
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    • 2000
  • This paper analysis the performance of joint receiving structure consisting of the decorrelating multiuser detection and beamfromenr-RAKE receive for DS-CDMA communication systems. In asynchronous transmission as the number of simultaneous users increase. the capacity of CDMA system becomes severly reduced due to the nonideal orthogonality between user-assigned PN sequences and improper power control. Accordingly, the CDMA receiving system becomes vulnerable to the multiple access interferences and the near-far problem under multipath fading channel environment. To withstand these undesired performance degradations, this paper proposes the new type of multiuser detection which has a form of the hybrid structure of concatenating beamformer-RAKE receiver and decorrelating multiuser detection. the beam former-RAKE receiver performs temporal and spatial diversity combining with alleviating fading effect and suppressing undesired interferences, and the multiuser detection plays a role of making the receiver robust to the near-far problem. Regarding the individual merit on the usage of either multiuser detection or beamformer-RAKE receiver, the hybrid one is expected to produce the enhanced performance in multipath fading CDMA channel. However major drawback of using decorrelating multiuser detection for practical deployment is arised from its computational complexity , which is exponentially increased as more number of users and transmitted symbols involve. To diminish the computational complexity, this paper exploits an efficient block Toeplitz inversion technique using matrix Levinson polynomial will be introduced. And this paper provided the mathematical analysis to show the efficiency of the proposed joint structure under the multipath propagation environment. And results of a series of exhaustive computer simulations are presented in order to demonstrate the overall performance of the proposed hybrid structure in multipath fading CDMA channel.

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Septic arthritis of the hip joint caused by Klebsiella pneumoniae: a case report

  • Jeong-Bo Moon;Jun-Hwan Lee;Byung-Ju Ryu
    • Journal of Yeungnam Medical Science
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    • v.40 no.2
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    • pp.193-197
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    • 2023
  • Klebsiella pneumoniae is an uncommon cause of septic arthritis in adults. However, late detection can cause serious complications, including joint destruction and immobility. The purpose of this study was to report a case of successfully treated septic arthritis of the hip joint (SAHJ) caused by K. pneumoniae. A 49-year-old female patient presented to our hospital with fever and progressive severe pain in the right hip area. Although there was no abnormality on plain radiographs, ultrasonography revealed diffuse swelling of the right hip joint. Under ultrasonography guidance, the hip joint fluid was aspirated, and Gram staining and culturing were performed. The patient's pain was significantly reduced after the joint aspiration. The Gram staining and culturing revealed gram-negative bacilli, which were subsequently identified as K. pneumoniae. According to the results, systemic intravenous antibiotic (ceftriaxone) was administered without complications, and the patient was discharged on oral antibiotic (ciprofloxacin). Clinical cases of septic arthritis of the knee or sacroiliac joint have been occasionally reported in adults, but cases of SAHJ are rare. Moreover, K. pneumonia-induced SAHJ has not been reported to date. Therefore, we report this very rare case and its successful treatment.

Evaluation of Dispersivity and Resistance of the Adhesive Joint According to Dispersion Methods of CNT (CNT 분산 방법에 따른 접착조인트의 저항 및 분산성 평가)

  • Lee, Bong-Nam;Kim, Cheol-Hwan;Kweon, Jin-Hwe;Choi, Jin-Ho
    • Composites Research
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    • v.28 no.6
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    • pp.348-355
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    • 2015
  • NDT (Non Destructive Test) of the adhesive joints is very important because their strengths have greatly affected by the worker's skill and environmental condition. Recently, the electric impedance method in which 1-2 wt% CNT was dispersed in the adhesive and the electric resistance of the adhesive joint was measured was suggested for the defect detection of the adhesive joint. The uniform dispersion of CNT in the electric impedance method is very important to make a constant electric resistance of the adhesive joint and the accuracy of defect detection depends on the uniform dispersion. In this paper, the adhesive joints in which CNT was dispersed in the adhesive by the four dispersion methods were made and their electric resistance were measured. The pre-process and evaporation process of CNT using the ultrasonic method and agitation method was used and the effective dispersion method was suggested. Also, the criteria to evaluate the dispersivity was proposed.

Multi-camera-based 3D Human Pose Estimation for Close-Proximity Human-robot Collaboration in Construction

  • Sarkar, Sajib;Jang, Youjin;Jeong, Inbae
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.328-335
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    • 2022
  • With the advance of robot capabilities and functionalities, construction robots assisting construction workers have been increasingly deployed on construction sites to improve safety, efficiency and productivity. For close-proximity human-robot collaboration in construction sites, robots need to be aware of the context, especially construction worker's behavior, in real-time to avoid collision with workers. To recognize human behavior, most previous studies obtained 3D human poses using a single camera or an RGB-depth (RGB-D) camera. However, single-camera detection has limitations such as occlusions, detection failure, and sensor malfunction, and an RGB-D camera may suffer from interference from lighting conditions and surface material. To address these issues, this study proposes a novel method of 3D human pose estimation by extracting 2D location of each joint from multiple images captured at the same time from different viewpoints, fusing each joint's 2D locations, and estimating the 3D joint location. For higher accuracy, the probabilistic representation is used to extract the 2D location of the joints, considering each joint location extracted from images as a noisy partial observation. Then, this study estimates the 3D human pose by fusing the probabilistic 2D joint locations to maximize the likelihood. The proposed method was evaluated in both simulation and laboratory settings, and the results demonstrated the accuracy of estimation and the feasibility in practice. This study contributes to ensuring human safety in close-proximity human-robot collaboration by providing a novel method of 3D human pose estimation.

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Study of Joint Histogram Based Statistical Features for Early Detection of Lung Disease (폐질환 조기 검출을 위한 결합 히스토그램 기반의 통계적 특징 인자에 대한 연구)

  • Won, Chul-ho
    • Journal of rehabilitation welfare engineering & assistive technology
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    • v.10 no.4
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    • pp.259-265
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    • 2016
  • In this paper, new method was proposed to classify lung tissues such as Broncho vascular, Emphysema, Ground Glass Reticular, Ground Glass, Honeycomb, Normal for early lung disease detection. 459 Statistical features was extraced from joint histogram matrix based on multi resolution analysis, volumetric LBP, and CT intensity, then dominant features was selected by using adaboost learning. Accuracy of proposed features and 3D AMFM was 90.1% and 85.3%, respectively. Proposed joint histogram based features shows better classification result than 3D AMFM in terms of accuracy, sensitivity, and specificity.