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Research on software demodulation of PCM/FM algorithm based on MSD

Research on software demodulation of PCM/FM algorithm based ...

引用

4th International Conference on Materials science and Information Technology, MSIT 2014

作者： Fu, Gang Wu, Yan Jun Li, Ren Long Wang, Li Ping China Satellite Maritime Tracking and Control Department China School of Computer Science Engineering and Mathematics Flinders University SA 5042 Australia

ISBN: (纸本)9783038351733

Based on maximum likelihood, research a new based on Symbol Detection (Multi-Symbol Detection, MSD) soft demodulation method of PCM/FM telemetry signals. Introduced the basic principle of the demodulation method and the implementation process, analyzed the demodulation and synchronization factors and formulate the corresponding synchronization strategies. © (2014) Trans Tech Publications, Switzerland.

关键词： Pulse code modulation

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Research on phase locked loop software parallel processing methods

Research on phase locked loop software parallel processing m...

引用

4th International Conference on Materials science and Information Technology, MSIT 2014

作者： Li, Ren Long Fu, Gang Wu, Yan Jun Wang, Li Ping China Satellite Maritime Tracking and Control Department China School of Computer Science Engineering and Mathematics Flinders University SA 5042 Australia

ISBN: (纸本)9783038351733

Signal processing speed is an important indicator of the performance of software based phase-locked loop. Previous software uses data redundancy of phase-locked loop based on parallel processing, but the amount of redundant data lead to the introduction of computer waste of resources, reducing efficiency and other issues. Design of a parallel processing method based on data blocks and redundant data segments dual dynamic partitioning, given the dynamic data partitioning strategy. © (2014) Trans Tech Publications, Switzerland.

关键词： Phase locked loops

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Date-driven based image enhancement for segmenting of MS lesions in T2-w and flair MRI

Date-driven based image enhancement for segmenting of MS les...

引用

5th International Symposium on IT in Medicine and Education, ITME 2013

作者： Zeng, Ziming Han, Zhonghua Zhao, Yitian Zwiggelaar, Reyer Information and Control Engineering Faculty Shenyang Jianzhu University Liaoning China Department of Computer Science Aberystwyth University Aberystwyth United Kingdom

ISBN: (纸本)9789400776173

This paper proposed a data-driven based image enhancement scheme to segment Multiple Sclerosis (MS) lesions. It utilizes a class-adaptive Gaussian Markov random field modelling (HMRF) and mutual information to automatic enhance the MS lesions. Then an alpha matting technique is used to refine the segmentation results. The advantages of the approach lies in its date-driven processing. It can automatically enhance the density of MS lesions, which is guided by calculating the mutual information value of the segmentation results in the successive steps. In addition, the partial volume effects are considered and the regions of interests are segmented in a sub-pixel precision. The experiments on real MR images show the proposed segmentation method can effectively segment MS lesions. © Springer science+Business Media Dordrecht 2014.

关键词： Image enhancement

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A forward-backward subsequence smoothing based eigen approach to clutter rejection in color flow imaging 15

引用

15th International Conference on Biomedical engineering, ICBME 2013

作者： Shen, Z. Zhang, N. Shen, Y. Lee, C.-H. Department of Control Science and Engineering Harbin Institute of Technology Harbin China School of Electric and Computer Engineering Georgia Institute of Technology AtlantaGA United States

ISBN: (纸本)9783319029122

In color flow image (CFI), the prevalent clutter filters fail to accurately separate blood flow signal from the demodulated ultrasound echo signal containing undesired clutter with single-ensemble (S-E) samples of small pulse size. A novel clutter filter design framework based on forward-backward subsequence smoothing (FBSS) as an extension to the prevalent eigen-based method is proposed. The proposed FBSS algorithm simulates the multi-ensemble behaviors with only single-ensemble (S-E) samples such that a fixed-length segment of each S-E sample is considered as a short conventional S-E vector. By moving forward and backward one sample, many vectors of the same-length can be created. This process can be repeated until all sample points in the original S-E sequence is exhausted and the collection of these vectors are considered as a simulated M-E ensemble. The pulse size needed to guarantees a nonsingular property of autocorrelation matrix in the FBSS framework is usually three-quarter of those used in the Hankel framework. As a consequence, FBSS leads to a good discrimination between the clutter and blood flow components for the low-velocity blood flow signals. Based on the results obtained from a series of simulations, the proposed FBSS eigen-based filter is shown to achieve a superior performance to the state-of-the-art regression and Hankel-SVD filters in estimating the blood flow velocities. © Springer International Publishing Switzerland 2014.

关键词： Clutter (information theory)

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Sign-Perturbed Sums (SPS) with Instrumental Variables for the Identification of ARX Systems

Sign-Perturbed Sums (SPS) with Instrumental Variables for th...

引用

IEEE Annual Conference on Decision and control

作者： Valerio Volpe Balazs Cs. Csaji Algo Care Erik Weyer Marco C. Campi Department of Information Engineering University of Brescia Via Branze 38 25123 Brescia Italy Fraunhofer Project Center at the Institute for Computer Science and Control (SZTAKI) Hungarian Academy of Sciences (MTA) Kende utca 13-17 Budapest Hungary H-1111 Department of Electrical and Electronic Engineering Melbourne School of Engineering The University of Melbourne 240 Grattan Street Parkville Melbourne Victoria 3010 Australia

ISBN: (纸本)9781479978878

We propose a generalization of the recently developed system identification method called Sign-Perturbed Sums (SPS). The proposed construction is based on the instrumental variables estimate and, unlike the original SPS, it can construct non-asymptotic confidence regions for linear regression models where the regressors contain past values of the output. Hence, it is applicable to ARX systems, as well as systems with feedback. We show that this approach provides regions with exact confidence under weak assumptions, i.e., the true parameter is included in the regions with a (user-chosen) exact probability for any finite sample. The paper also proves the strong consistency of the method and proposes a computationally efficient generalization of the previously proposed ellipsoidal outer-approximation. Finally, the new method is demonstrated through numerical experiments, using both real-world and simulated data.

关键词： Instruments Approximation algorithms Electronic mail Signal processing algorithms Linear regression Signal processing Standards

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Better approximation bounds for the joint replenishment problem

Better approximation bounds for the joint replenishment prob...

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25th Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2014

作者： Bienkowski, Martin Byrka, Jaroslaw Chrobak, Marek Jez, Lukasz Nogneng, Dorian Sgall, Jiří Institute of Computer Science University of Wroclaw Poland Department of Computer Science University of California at Riverside United States Department of Computer Control and Management Engineering Sapienza University of Rome Italy LIX École Polytechnique Palaiseau France Faculty of Mathematics and Physics Computer Science Institute Charles University Czech Republic

ISBN: (纸本)9781611973389

The Joint Replenishment Problem (JRP) deals with optimizing shipments of goods from a supplier to retailers through a shared warehouse. Each shipment involves transporting goods from the supplier to the warehouse, at a fixed cost C, followed by a redistribution of these goods from the warehouse to the retailers that ordered them, where transporting goods to a retailer p has a fixed cost cp. In addition, we incur waiting costs for each order, possibly an arbitrary non-decreasing function of time, different for each order. The objective is to minimize the overall cost of satisfying all orders, namely the sum of all shipping and waiting costs. JRP has been well studied in Operations Research and, more recently, in the area of approximation algorithms. For arbitrary waiting cost functions, the best known approximation ratio is 1.8. This ratio can be reduced to ≈1.574 for the JRP-D model, where there is no cost for waiting but orders have deadlines. As for hardness results, it is known that the problem is APX- hard and that the natural linear program for JRP has integrality gap at least 1.245. Both results hold even for JRP-D. In the online scenario, the best lower and upper bounds on the competitive ratio are 2.64 and 3, respectively. The lower bound of 2.64 applies even to the restricted version of JRP, denoted JRP-L, where the waiting cost function is linear. We provide several new approximation results for JRP. In the offline case, we give an algorithm with ratio ≈ 1.791, breaking the barrier of 1.8. We also show that the integrality gap of the linear program for JRP-L is at least 12/11 ≈ 1.09. In the online case, we show a lower bound of ≈ 2.754 on the competitive ratio for JRP-L (and thus JRP as well), improving the previous bound of 2.64. We also study the online version of JRP-D, for which we prove that the optimal competitive ratio is 2. Copyright © 2014 by the Society for Industrial and Applied Mathematics.

关键词： Cost functions

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Research and simulation on the carrier deck motion adaptive prediction for ACLS design 6

Research and simulation on the carrier deck motion adaptive ...

引用

6th IEEE Chinese Guidance, Navigation and control Conference, CGNCC 2014

作者： Keke, Lu Nong, Cheng Qing, Li Guidance and Control Laboratory Tsinghua University Beijing100084 China Department of Control Engineering Naval Aeronautical and Astronautical University Yantai Shandong264001 China Department of Automation Tsinghua University Beijing100084 China Science and Technology on Aircraft Control Laboratory Flight Automatic Control Research Institute Xi'an710065 China

ISBN: (纸本)9781479946990

This paper focuses on the aircraft carrier deck movement prediction techniques which could be applied to the Autonomous Carrier Landing System (ACLS) design. The techniques introduced here are methods based on non-hydrodynamic, which is also called time series analysis algorithms. The algorithms based on AR model and ARMAX model are described in detail respectively. Both algorithms are adaptive prediction algorithm. The adaptive prediction algorithm does not require a priori ship response information, it can establish a mathematical model of the hull movement in real time and update according to changes in operations or weather conditions. The simulation results indicate that AR model-based prediction algorithm is not ideal, while the ideal prediction algorithm based on ARMAX model needs to be able to measure the wave input. This paper also contains the ACLS simulation result with Deck Motion Compensation. It shows that the DMC reduces the volatility of the glideslope. © 2014 IEEE.

关键词： Motion compensation

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State Estimation of Finite-State Hidden Markov Models Subject to Stochastically Event-triggered Measurements

State Estimation of Finite-State Hidden Markov Models Subjec...

引用

IEEE Annual Conference on Decision and control

作者： Wentao Chen Junzheng Wang Ling Shi Dawei Shi State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing 100081 P.R. China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong

ISBN: (纸本)9781479978878

We consider the event-triggered state estimation of a finite-state hidden Markov model with a general stochastic event-triggering condition. Utilizing the change of probability measure approach and the event-triggered measurement information available to the estimator, analytical expressions for the conditional probability distributions of the states are obtained, based on which the minimum mean square error event-based state estimates are further calculated. We show that the results also cover the case of packet dropout, under a special parameterization of the event-triggering conditions. With the results on state estimation, a closed-form expression of the average sensor-to-estimator communication rate is also presented. The effectiveness of the proposed results is illustrated by a numerical example and comparative simulations.

关键词： State estimation Hidden Markov models Event trigger Probability distribution Mean square error numerical example

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Extracting Patterns of Single-Trial EEG Using an Adaptive Learning Algorithm

Extracting Patterns of Single-Trial EEG Using an Adaptive Le...

引用

Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Chin-Teng Lin Yu-Kai Wang Chieh-Ning Fang Yi-Hsin Yu Jung-Tai King the Faculty of Engineering and Information Technology University of Technology Sydney (UTS) Australia the Department of Computer Science and Brain Research Center National Chiao-Tung University Taiwan Institute of Electrical Control Engineering and Brain Research Center National Chiao-Tung University Taiwan the Brain Research Center National Chiao-Tung University Taiwan

ISBN: (纸本)9781424492695

The improvement of brain imaging technique brings about an opportunity for developing and investigating brain-computer interface (BCI) which is a way to interact with computer and environment. The measured brain activities usually constitute the signals of interest and noises. Applying the portable device and removing noise are the benefits to real-world BCI. In this study, one portable electroencephalogram (EEG) system non-invasively acquired brain dynamics through wireless transmission while six subjects participated in the rapid serial visual presentation (RSVP) paradigm. The event-related potential (ERP) was traditionally estimated by ensemble averaging (EA) to increase the signal-to-noise ratio. One adaptive filter of data-reusing radial basis function network (DR-RBFN) was also utilized as the estimator. The results showed that this portable EEG system stably acquired brain activities. Furthermore, the task-related potentials could be clearly explored from the limited samples of EEG data through DR-RBFN. According to the artifact-free data from the portable device, this study demonstrated the potential to move the BCI from laboratory research to real-life application in the near future.

关键词： BCI RSVP EA

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On FPGA dedicated SFC synthesis and implementation according to IEC61131

On FPGA dedicated SFC synthesis and implementation according...

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International Conference on Signals and Electronic Systems, ICSES

作者： Adam Milik Andrzej Pułka Department of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland

The paper presents the synthesis and implementation algorithms of reconfigurable logic controller (RLC) implemented in a FPGA. In opposite to software centric PLCs, the RLC utilize massively parallel hardware execution of control algorithms. The specific hardware implementation significantly reduces the throughput time. The input program is described by the SFC given according to IEC61131-3 standard. An original intermediate representation with use of data flow graph has been developed for program representation and synthesis purposes. The algorithm of creating graph representation maintains sequential dependencies of processing and reveals parallel tasks. Developed method of scheduling and mapping is dedicated for implementation in LUT based FPGA devices. There are considered direct mapping based on greedy approach and optimized methods that are FPGA architecture aware. The paper is concluded with exemplary implementation comparison.

关键词： Field programmable gate arrays Hardware Resource management Table lookup control systems computer languages

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