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检索条件"任意字段=Conference on Advanced Signal Processing Algorithms"

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A Systematic Literature on Recent Advancement in Deep Learning to Diagnose Obstructive Sleep Apnea

A Systematic Literature on Recent Advancement in Deep Learni...

引用

International conference on advanced Computing and Communication Systems (ICACCS)

作者： Farhana Bano Arif Mohammad Abdul GITAM Deemed to be University CVR College of Engineering Hyderabad India GITAM Deemed to be University Hyderabad India

ISBN: (数字)9798350384369

ISBN: (纸本)9798350384376

Sleep apnea is a sleep-related condition characterized by the swelling or relaxation of throat muscles, causing a blockage in the upper airways. This obstruction interrupts normal breathing patterns during sleep. The current gold standard polysomnography (PSG) test for detecting sleep apnea is expensive, inconvenient, and lacks widespread availability for the general population. This underscores the need for more user-friendly and readily available solutions to diagnose sleep apnea. Collaborative efforts between Deep learning practitioners and healthcare professionals are essential to ensure that the developed techniques align with established clinical standards and contribute effectively to early diagnosis, prediction, and management of sleep apnea. This paper delves into recent studies on intelligent sleep apnea detection mechanisms. We emphasize the background of sleep apnea and the evolution of medical understanding and technological advancement. We demonstrated the diagnosis of sleep apnea through experts like medical professionals. We delve into recent studies on intelligent sleep apnea detection mechanisms using numerous deep-learning techniques and methodologies. In the transition, our attention is directed toward recent research that underscores the significance of integrating health-related features through classifier training.

关键词： Deep learning Training Adaptation models Accuracy Transfer learning signal processing algorithms Prediction algorithms Feature extraction Sleep apnea Medical diagnostic imaging

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A GMD-based precoding scheme for downlink multiuser multistream MIMO channels

A GMD-based precoding scheme for downlink multiuser multistr...

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Asilomar conference on signals, Systems & Computers

作者： Zhilan Xiong Ranaji Krishna Sangarapillai Lambotharan Jonathon A. Chambers Advanced Signal Processing Group Loughborough University Leicestershire UK

ISBN: (纸本)9781424429400

In order to obtain a good balance of bit error rate (BER) across channels, the geometric mean decomposition (GMD) is introduced to replace the singular value decomposition (SVD) for precoding in the downlink of a multiuser multistream multiple-input multiple-output (MIMO) system. By combining GMD with a block diagonalization method, we obtain two kinds of precoding schemes: iterative nullspace-directed GMD and non-iterative nullspace-directed GMD. Considering their respective advantages and disadvantages, a mixed nullspace-directed GMD is proposed to solve the convergence related problems of the iterative method. Furthermore, the computational complexity of the mixed scheme is similar to the iterative scheme under the same conditions. The simulation results show that the average BER performance of the block diagonalization method based on GMD is better than the same method based on SVD, and the mixed nullspace-directed GMD outperforms the iterative nullspace-directed GMD and the non-iterative nullspace-directed GMD.

关键词： Downlink MIMO Bit error rate Iterative algorithms Receiving antennas Iterative methods signal to noise ratio Interference Transmitters Singular value decomposition

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GLS Integrity Assessment Method Based on Clustering and Improved EM Parameter Estimation

GLS Integrity Assessment Method Based on Clustering and Impr...

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International conference on Information Science and Control Engineering (ICISCE)

作者： Zhong Lunlong Zhang Zhuoxuan Fan Zhendong Tianjin Key Laboratory for Advanced Signal Processing Civil Aviation University of China Tianjin China

To solve the problem of inaccurate GBAS landing system integrity estimation caused by non-Gaussian error, an algorithm based on clustering and improved EM parameter estimation was proposed. Firstly, based on the Gaussian mixture distribution, a pseudo-range error observation distribution model containing non-Gaussian errors was established, and then the pseudo-range error observation values were roughly classified by using the local clustering center point communication clustering algorithm. An improved EM algorithm was proposed for the Gaussian mixture distribution. The expansion coefficient is selected appropriately according to the parameter estimation results. Experimental results show that the proposed algorithm can effectively estimate the parameters of the pseudo-range error observation distribution model and improve the accuracy of GLS integrity estimation.

关键词： Information science Parameter estimation Correlation Control engineering Navigation Simulation Clustering algorithms

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Dynamic model based auto-tuning digital servo driver

Dynamic model based auto-tuning digital servo driver

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International conference on Industrial Electronics, Control and Instrumentation

作者： S. Kobayashi I. Awaya H. Kuromaru Mitsubishi Heavy Industries Limited Nagoya Japan

This paper presents a new digital servo driver which realizes an auto-tuning function using the disturbance torque observer. By the auto-tuning function, the host controller of the driver can obtain parameters for advanced controls (such as predictive control, etc.). The control parameters such as the inertia constant, the viscous coefficient and the constant disturbance torque, are automatically obtained by the orthogonal relation between the torque components of the estimated disturbance torque. The proposed auto-tuning algorithm is realized with a simple software. The experimental results show that the dynamic model based auto-tuning digital servo driver can achieve good performances and that the driver is able to estimate all parameters accurately.< >

关键词： Servomechanisms Automatic control Torque control Parameter estimation signal processing algorithms Motion control Angular velocity control Control systems Angular velocity Sampling methods

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Design and implementation of a high performance multiplier using HDL

Design and implementation of a high performance multiplier u...

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International conference on Computing, Communication and Applications (ICCCA)

作者： P R Aparna Nisha Thomas Department of ECE Lourde Matha College of Science and Technology Kuttichal India ER & DCI-IT Centre for Development of Advanced Computing Thiruvananthapuram India

This paper presents an area efficient implementation of a high performance parallel multiplier. Radix-4 Booth multiplier with 3:2 compressors and Radix-8 Booth multiplier with 4:2 compressors are presented here. The design is structured for m × n multiplication where m and n can reach up to 126 bits. Carry Lookahead Adder is used as the final adder to enhance the speed of operation. Finally the performance improvement of the proposed multipliers is validated by implementing a higher order FIR filter. The design entry is done in VHDL and simulated using ModelSim SE 6.4 design suite from Mentor Graphics. It is then synthesized and implemented using Xilinx ISE 9.2i targeted towards Spartan 3 FPGA.

关键词： Compressors Algorithm design and analysis Adders signal processing algorithms Finite impulse response filter Field programmable gate arrays Delay

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Model-set adaptation using a fuzzy Kalman filter

Model-set adaptation using a fuzzy Kalman filter

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International conference on Information Fusion

作者： Zhen Ding H. Leung K. Chan Advanced Systems Development Raytheon Systems Canada Limited Waterloo Canada Department of Electrical and Computer Engineering University of Calgary Calgary AB Canada Department of Computing Hong Kong Polytechnic University Kowloon Hong Kong China

ISBN: (纸本)2725700000;2725700019

In this paper, a fuzzy Kalman filter is proposed to combat the model-set adaptation problem since it is found to be able to extract more exactly dynamic information. The fuzzy Kalman filter uses a set of fuzzy rules to adaptively control the noise covariance and that makes it more suitable for real radar tracking. The proposed fuzzy Kalman filter is then combined with an IMM algorithm, hence, a fuzzy IMM (FIMM) algorithm is obtained. The performance of the FIMM algorithm is compared with that of an adaptive IMM (AIMM) algorithm using real radar target tracking data. Simulation result shows that the FIMM algorithm outperforms the AIMM algorithm in terms of both the root mean square prediction error and the number of track loss.

关键词： Adaptation model signal processing algorithms Target tracking Acceleration Data mining Fuzzy sets Filters Radar tracking Drives Process control

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Tracking and Estimation of Ego-Vehicle's State for Lateral Localization

Tracking and Estimation of Ego-Vehicle's State for Lateral L...

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IEEE International conference on Intelligent Transportation Systems

作者： Young-Woo Seo Ragunathan (Raj) Rajkumar Dept. of Electr. Comput. Eng. Carnegie Mellon Univ. Pittsburgh PA USA

ISBN: (纸本)9781479960798

For urban driving, knowledge of ego-vehicle's position is a critical piece of information that enables advanced driver-assistance systems or self-driving cars to execute safety-related, autonomous driving maneuvers. This is because, without knowing the current location, it is very hard to autonomously execute any driving maneuvers for the future. The existing solutions for localization rely on a combination of Global Navigation Satellite System (GNSS), an inertial measurement unit, and a digital map. However, on urban driving environments, due to poor satellite geometry and disruption of radio signal reception, their longitudinal and lateral errors are too significant to be used to guide an autonomous system. To enhance the existing system's localization capability, this work presents an effort of developing a vision-based lateral localization algorithm. The algorithm aims at reliably counting, with or without observations of lane-markings, the number road-lanes and identifying the index of the road-lane on the roadway that our vehicle happens to be driving on. Testings the proposed algorithms against inter-city and inter-state highway videos showed promising results in terms of counting the number of road-lanes and the indices of the current road-lanes.

关键词： automobiles computer vision driver information systems video signal processing advanced Driver-Assistance Systems ego-vehicle position ego-vehicle state estimation ego-vehicle state tracking intercity highway videos interstate highway videos lane-markings lateral errors lateral localization longitudinal errors radio signal reception disruption road-lane index identification safety-related-autonomous driving maneuvers satellite geometry self-driving cars system localization capability enhancement urban driving urban driving environments vision-based lateral localization algorithm Cameras Estimation Global Positioning System Indexes Roads Vehicles Videos driver information systems Road Videotapes Video signal processing Automobiles vehicle Cameras Global Positioning Systems images computer vision Cars Automobile driving Global Navigation Satellite System

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Image metric-based biometric comparators: A supplement to feature vector-based Hamming distance?

Image metric-based biometric comparators: A supplement to fe...

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International conference of the Biometrics Special Interest Group (BIOSIG)

作者： H. Hofbauer C. Rathgeb A. Uhl P. Wild Multimedia Signal Processing and Security Laboratory (WaveLab) Department of Computer Sciences University of Salzburg Austria Center for Advanced Security Research Darmstadt Germany

In accordance with the ISO/IEC FDIS 19794-6 standard an iris-biometric fusion of image metric-based and Hamming distance (HD) comparison scores is presented. In order to demonstrate the applicability of a knowledge transfer from image quality assessment to iris recognition, Peak signal to Noise Ratio (PSNR), Structural Similarity Index Measure (SSIM), Local Edge Gradients metric (LEG), Edge Similarity Score (ESS), Local Feature Based Visual Security (LFBVS), and Visual Information Fidelity (VIF) are applied to iris textures, i.e. query textures are interpreted as noisy representations of registered ones. Obtained scores are fused with traditional HD scores obtained from iris-codes generated by different feature extraction algorithms. Experimental evaluations on the CASIA-v3 iris database confirm the soundness of the proposed approach.

关键词： Iris recognition Measurement Feature extraction Image edge detection PSNR Visualization Magnetic resonance

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Shared-use motion vector algorithm for moving objects detection for automobiles

Shared-use motion vector algorithm for moving objects detect...

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IEEE International conference on Consumer Electronics (ICCE)

作者： Chup-Chung Wong W. C. Siu S. Barnes P. Jennings B. Fong University of Warwick Coventry UK Hong Kong Productivity Council Hong Kong Polytechnic University

This paper presents a new motion vector based moving object detection system for use in advanced Driver Assistance Systems. By the shared-use of motion vectors with a video encoder, the computational cost for motion estimation using optical flow method can be saved, making the system more cost effective. Moving objects are detected by evaluating the planar parallax residuals of macroblocks in the video. The proposed algorithm involves newly proposed "APD" constraints on hypothesis generation and template matching in hypothesis verification. Test results show that moving objects can be detected effectively in scenarios that pose danger to the ego vehicle.

关键词： signal processing algorithms Vehicles Cameras Object detection Transmission line matrix methods Image motion analysis Computer vision

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Non-uniform step-size based split step fourier method for mitigating fiber transmission impairments in N-channel 224Gbit/s PolMux-16QAM system

Non-uniform step-size based split step fourier method for mi...

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IEEE International conference on Networks

作者： Rameez Asif Chien-Yu Lin Bernhard Schmauss Department of Telecommunication Engineering University of Engineering and Technology Taxila Pakistan Department of High Frequency Technology (LHFT) Erlangen Graduate School in Advanced Optical Technologies (SAOT) University of Erlangen-Nuremberg Erlangen Germany Department of Telecommunication Engineering University of Engineering and Technology (UET) Taxila Germany Department of High Frequency Technology (LHFT) Erlangen Graduate School in Advanced Optical Technologies (SAOT) Erlangen Germany

ISBN: (纸本)9781467345217

We discuss the performance enhancement of digital backward propagation by step-size selection for implementing split-step Fourier method (SSFM) in 224Gbit/s PolMux-16QAM system. The two DBP algorithms based on the step-size selection methods; (a) constant step-size based modified DBP (M-DBP) and (b) non-uniform, i.e. logarithmic, step-size based DBP (L-DBP), are compared for diverse fiber types i.e. Standard Single Mode Fiber (SMF), Non-Zero Dispersion Shifted Fiber (NZDSF), Large Effective Area Pure-Silica-Core-Fiber (LA-PSCF) and Large Effective Area Fiber (LEAF). Non-uniform step-size distribution enhances the transmission distance upto 32% in large effective area pure-silica-core-fiber (LA-PSCF) link as compared to SMF by employing M-DBP, while we have observed an additional 13% increase in transmission distance by employing L-DBP. Furthermore, the impact of reconfigurable add-drop multiplexers (ROADMs) are also investigated in 10×224Gbit/s system with 50GHz channel spacing grid. ROADMs reduce the signal bandwidth and collectively increase the peak to average power ratio, resulting in higher non-linearities that limits the performance of digital backward propagation. The results also depict that heterogeneous fiber links significantly reduce the nonlinear threshold point (NLT) of the transmission system.

关键词： Backpropagation signal processing algorithms Optical fiber communication Optical add-drop multiplexers Modulation System performance Bit error rate

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