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International Conference on Smart systems and Inventive Technology (ICSSIT)

作者： D.Leela Rani M. Bharathi N. Padmaja Centre of Communication and Signal Processing SVEC Tirupati Centre of VLSI and Embedded Systems SVEC Tirupati

Cost effective, easily accessible and high speed wireless communication systems are of great demand. Hence implementation of efficient methods to improve spectral efficiency and Bit Error Rate (BER) performance in multicarrier systems has become an important issue. Conventional Orthogonal Frequency Division Multiplexing (OFDM) is a multicarrier technique to increase data rates of wireless communication channel. Implementation of conventional OFDM system involves Inverse Fast Fourier Transform (IFFT) and Fast Fourier Transform (FFT) at Transmitter and Receiver. Besides numerous advantages with these systems, Cyclic Prefix has to be appended to minimize Inter Symbol Interference (ISI) and increase Spectral efficiency. Wavelet based system on the other hand avoids cyclic prefix requirement, provides side lobes which are very narrow, improves spectral efficiency and better BER performance. The performance of conventional multicarrier FFT-OFDM can be improved by the application of Wavelet Transforms like Discrete Wavelet Transform (DWT), Double Density Discrete Wavelet Transforms (DDDWT). The performance is compared in terms of BER verses SNR using Discrete Cosine Transform (DCT), DWT and DDDWT. The complex wavelet transforms based OFDM performed better than conventional multicarrier FFT-OFDM.

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Using Time-of-Flight Sensors for People Counting Applications

Using Time-of-Flight Sensors for People Counting Application...

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Conference on Design and Architectures for signal and Image processing

作者： Michal Stec Viktor Herrmann Benno Stabernack Embedded Systems Group Fraunhofer Heinrich Hertz Institute HHI Berlin Germany Embedded Systems Architectures for Signal Processing University of Potsdam Potsdam Germany

The following topics are dealt with: convolutional neural nets; field programmable gate arrays; feature extraction; system-on-chip; multiprocessing systems; embedded systems; computational complexity; power aware comp... 详细信息

ISBN: (数字)9781728140742

ISBN: (纸本)9781728140759

关键词： Sensors Cameras Three-dimensional displays Target tracking Image sensors Lighting Stereo vision

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Detection and Removal of Clouds on Remote Sensing Images

Detection and Removal of Clouds on Remote Sensing Images

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International Conference for Convergence of Technology (I2CT)

作者： K Prinsa E Saritha Signal Processing and Embedded Systems GCE Kannur GCE Kannur

ISBN: (数字)9781538652329

ISBN: (纸本)9781538652336

To perform the cloud detection and removal, a novel automatic supervised approach is proposed. Here in the cloud detection task there are mainly two sections. one is training section where the detector is designed using the feature data and ground truth of the training image. The feature data is formed by extracting and stacking different features such as colour, statistical information, texture, structure, haar like features and reflectance. Other is testing section. After training the detector the feature data of the testing image is applied to get the saliency map. After that some cloud refinement techniques are applied to get the final cloud detected result. The complemented detected output is taken as a mask and applied to the testing image. Then it is given to the cloud removal technique. Singular value decomposition is used in cloud removal. The quantitative analysis of efficiency of detection in proposed method is evaluated.

关键词： Clouds Feature extraction Testing Detectors Training Image color analysis Mathematical model

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Self-Awareness for Autonomous systems

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PROCEEDINGS OF THE IEEE 2020年第7期108卷 971-975页

作者： Dutt, Nikil Regazzoni, Carlo S. Rinner, Bernhard Yao, Xin Nikil Dutt (Fellow IEEE) received the Ph.D. degree from the University of Illinois at Urbana–Champaign Champaign IL USA in 1989.""He is currently a Distinguished Professor of computer science (CS) cognitive sciences and electrical engineering and computer sciences (EECS) with the University of California at Irvine Irvine CA USA. He is a coauthor of seven books. His research interests include embedded systems electronic design automation (EDA) computer architecture distributed systems healthcare Internet of Things (IoT) and brain-inspired architectures and computing.""Dr. Dutt is a Fellow of ACM. He was a recipient of the IFIP Silver Core Award. He has received numerous best paper awards. He serves as the Steering Committee Chair of the IEEE/ACM Embedded Systems Week (ESWEEK). He is also on the steering organizing and program committees of several premier EDA and embedded system design conferences and workshops. He has served on the Editorial Boards for the IEEE Transactions on Very Large Scale Integration (VLSI) Systems and the ACM Transactions on Embedded Computing Systems and also previously served as the Editor-in-Chief (EiC) for the ACM Transactions on Design Automation of Electronic Systems. He served on the Advisory Boards of the IEEE Embedded Systems Letters the ACM Special Interest Group on Embedded Systems the ACM Special Interest Group on Design Automationt and the ACM Transactions on Embedded Computing Systems. Carlo S. Regazzoni (Senior Member IEEE) received the M.S. and Ph.D. degrees in electronic and telecommunications engineering from the University of Genoa Genoa Italy in 1987 and 1992 respectively.""He is currently a Full Professor of cognitive telecommunications systems with the Department of Electrical Electronics and Telecommunication Engineering and Naval Architecture (DITEN) University of Genoa and a Co-Ordinator of the Joint Doctorate on Interactive and Cognitive Environments (JDICE) international Ph.D. course started initially as EU Erasmus Mundus Project and

Autonomous systems are able to make decisions and potentially take actions without direct human intervention, which requires some knowledge about the system and its environment as well as goal-oriented reasoning. In computer systems, one can derive such behavior from the concept of a rational agent with autonomy (“control over its own actions”), reactivity (“react to events from the environment”), proactivity (“act on its own initiative”), and sociality (“interact with other agents”) as fundamental properties \n[1]\n. Autonomous systems will undoubtedly pervade into our everyday lives, and we will find them in a variety of domains and applications including robotics, transportation, health care, communications, and entertainment to name a few. \nThe articles in this month’s special issue cover concepts and fundamentals, architectures and techniques, and applications and case studies in the exciting area of self-awareness in autonomous systems.

关键词： Special issues and sections Autonomous systems Self-aware Robot sensing systems Computational modeling

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On the Implementation of LMS-based Algorithm for Increasing the Lifetime of IoT Networks

On the Implementation of LMS-based Algorithm for Increasing ...

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International Symposium on Advanced Networks and Telecommunication systems (ANTS)

作者： Anish Shastri Vivek Jain Rhishi Pratap Singh Sachin Chaudhari Shailesh Singh Chouhan Signal Processing and Communication Research Center International Institute of Information Technology Hyderabad India Embedded Internet Systems Lab Luleå University of Technology Luleå Sweden

ISBN: (纸本)9781538681350;9781538681343

This paper focuses on the customized-wireless sensor node implementation of the classical least mean square (LMS) algorithm for the reduction in data-transmissions from the sensor nodes to the sink in internet of things (IoT) networks. This reduction, in turn, increases the battery life of the sensor node. The system was deployed in outdoor and indoor environments to read the ambient temperature and then perform the prediction of the sensed data in order to minimize the number of data-transmissions to the sink node. The utility of the proposed concept has been demonstrated using the measured data and the battery life is increased 2.64 and 2.53 times in indoor and outdoor environments, respectively.

关键词： Temperature sensors Prediction algorithms Batteries Wireless sensor networks Hardware Cloud computing Wireless communication

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Sampling Jitter mitigation in latency-critical state-estimation applications using particle filters

Sampling Jitter mitigation in latency-critical state-estimat...

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SICE International Symposium on Control systems (ISCS)

作者： Viktorio S. El Hakim Marco J.G. Bekooij Department of Embedded Software and Signal Processing NXP Semiconductors Eindhoven The Netherlands Department of Computer Architectures for Embedded Systems University of Twente Enschede The Netherlands

ISBN: (纸本)9781509056149

State estimation algorithms, such as the Kalman filter, are applied for conditioning and sensor fusion in digital control loops. It is desirable that these algorithms can be executed on embedded multiprocessor systems. However this results in large worst-case execution times with a consequence that a large sampling period must selected, which degrades the estimation and control performance. In this paper, we propose a free-running state-estimation approach in which the next sample is taken as soon as the current iteration completes. The approach utilizes the particle filter algorithm to mitigate the effects of sampling jitter, introduced by the variation in the execution times of tasks. As a result of the reduced interval between subsequent sampling moments the estimation accuracy is improved. The delay introduced by the estimator in a control loop is reduced by enabling execution of the prediction step in parallel with other control tasks. We compare simulation results obtained for our approach with a Kalman filter based approach, by estimating the state of a DC motor. These results show that our approach minimizes the estimation error, as a result of sampling jitter, by up to a factor of 10. Additionally we show that the approach does not require precise knowledge of the distribution of the execution times of the tasks.

关键词： Jitter Schedules Delays State estimation signal processing algorithms

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Battery internal state estimation using a mixed Kalman cubature filter

Battery internal state estimation using a mixed Kalman cubat...

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IEEE International Conference on Smart Grid Communications, SmartGridComm 2015

作者： Bhuvana, Venkata Pathuri Huemer, Mario Tonello, Andrea Alpen-Adria University Networked and Embedded Systems Klagenfurt Austria Johannes Keplar University Signal Processing Group Linz Austria

ISBN: (纸本)9781467382892

Batteries are extensively used as small to medium range energy storage devices in smart grids. The estimation of the internal states of the batteries such as state-of-charge (SoC) is critical to provide consistent and efficient energy storage capabilities for the grids. In general, the electrochemical batteries are represented by non-linear mathematical models. Hence, the non-linear filters such as the extended Kalman filter (EKF), cubature Kalman filter (CKF) and particle filters are widely used for the battery state estimation. However, the non-linear filters are complex compared to the linear filters such as the Kalman filter. The non-linear battery model considered in this paper has an inherent linear sub structure. Hence, we propose a mixed Kalman cubature filter to exploit the inherent linearity to achieve better estimation results with a decreased complexity. The proposed filter uses the Kalman filter and the 3rd degree spherical radial cubature rule to calculate the first and second order moments of the linear and non-linear components, respectively, and subsequently, to estimate the SoC of the batteries. The experimental results show that the proposed filter performs better than the EKF and CKF. Further, the computational complexity of the proposed filter is less than the computational complexity of the CKF. Under the chosen conditions, the proposed filter achieves the average mean square error of approximately 1.1% where as the CKF and EKF achieves 1.3% and 1.5%, respectively with the maximum SoC. © 2015 IEEE.

关键词： Extended Kalman filters

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Non-intrusive speech quality objective evaluation in high-noise environments

Non-intrusive speech quality objective evaluation in high-no...

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IEEE China Summit & International Conference on signal and Information processing (ChinaSIP)

作者： Weili Zhou Qianhua He The Lab of Digital Signal Processing & Embedded Systems South China University of Technology Guangzhou China

ISBN: (纸本)9781479919499

Objective evaluation of speech quality is an important part of the quality of communications service, and the speech in high-noise environments affect the people's auditory perception, which is an important factor for people to determine the speech quality. In this paper, a non-intrusive evaluation method for speech quality in high-noise environments is proposed, and a noise tracking and subtraction algorithm is employed to obtain the quasi clean speech from the high noisy speech. The quasi clean speech is regarded as the reference speech, and a perceptual model, which is a modified version of ITU-T PESQ, is applied to acquire the Mean Opinion Score (MOS) via the measurement of the distortions between the quasi clean speech and the high noisy speech. In the proposed model, only the noisy speech is needed for speech quality evaluation, and the quasi clean speech construction transforms non-intrusive estimation to PESQ intrusive measure. Experimental results demonstrate that the correlation coefficient of the proposed method is 0.906 on NOIZEUS dataset, and is 4.3% superior to ITU-T standard recommendation P.563, which is the state of the art non-intrusive method.

关键词： Speech Noise Decision support systems Indexes Estimation Noise measurement Speech processing

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Battery internal state estimation using a mixed Kalman cubature filter

Battery internal state estimation using a mixed Kalman cubat...

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IEEE International Conference on Smart Grid Communications (SmartGridComm)

作者： Venkata Pathuri Bhuvana Mario Huemer Andrea Tonello Alpen-Adria University Networked and Embedded Systems Klagenfurt Austria Johannes Keplar University Signal Processing Group Linz Austria

关键词： Batteries Battery charge measurement Estimation Kalman filters Mathematical model Smart grids Load modeling

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Channel-aware local search (CA-LS) for iterative MIMO detection

Channel-aware local search (CA-LS) for iterative MIMO detect...

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IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： I-Wei Lai Chia-Han Lee Gerd Ascheid Heinrich Meyr Tzi-Dar Chiueh Department of Electronic Engineering Chang Gung University Taoyuan Taiwan Research Center for Information Technology Innovation Taipei Taiwan Institute for Communication Technologies and Embedded Systems RWTH Aachen University Aachen Germany Institute for Integrated Signal Processing Systems RWTH Aachen University Aachen Germany Department of Electrical Engineering National Taiwan University Taiwan

We propose an efficient iterative multiple-input multiple-output (MIMO) detection algorithm based on the local search. Specifically, since the MIMO channel matrix twists the lattice structure of the received symbols, the proposed channel-aware local search (CA-LS) defines its search neighborhood according to the instantaneous channel realization. Such channel-dependent neighborhood can be efficiently identified by using the sphere decoder in a set that comprises the differences between pairs of QAM vectors, which is termed as delta vectors. The delta vectors with small quadratic norms with respect to the channel matrix are identified and then used as the search directions of the CA-LS. Features like sparsity and non-uniformity of delta vectors are exploited to reduce the SD complexity. Furthermore, by reformulating the detection criterion, the log-likelihood ratio (LLR) computations and searches of the CA-LS are greatly simplified. Numerical simulations demonstrate that compared with other practical iterative MIMO detectors, e.g., the list sphere decoder, the CA-LS achieves superior performance in both error rate and complexity aspects.

关键词： Quadrature amplitude modulation MIMO Lattices Decoding Complexity theory Iterative decoding Measurement

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