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IEEE International Symposium on Quality Electronic design

作者： Yuhan Fu Masayuki Ikebe Takeshi Shimada Tetsuya Asai Masato Motomura Graduate School of Information Science and Technology Hokkaido University Sapporo Japan

ISBN: (纸本)9781509054053

Division is a fundamental operation used in the architectures for digital signal processing algorithms. In this paper, we propose a fixed-point divider based on an ensemble of moving average (EnMA) curves. The EnMA algorithm generates piecewise polynomial explicit functions, which are first-order continuously differentiable. Thus, applying the EnMA algorithm for generating the curve y = 1/x, we directly obtain values of y and decrease multiplications and subtractions in the division algorithm. Evaluation of our divider on an FPGA Xilinx Kintex-7 board revealed latency of one clock cycle and operation speed of 23.12 ns by using only 625 look-up-tables, which is two times faster than the latest Xilinx IPs. The relative error was smaller than 0.01%, so our divider guaranteed 13-bit precision in division. Therefore, our proposed divider can be effectively used for image processing applications.

关键词： signal processing algorithms Hardware Interpolation Mathematical model Computer architecture Linear approximation Optimization

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Optimal MIMO array configuration for ultrawideband microwave imaging

Optimal MIMO array configuration for ultrawideband microwave...

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IEEE signal processing and Communications Applications (SIU)

作者： M. Burak Kocamış Figen S. Öktem Elektrik ve Elektronik Mühendisliği Bölümü Orta Doğu Teknik Üniversitesi Çankaya Ankara Türkiye

Wideband microwave imaging systems are recently used in various applications including airport security, surveillance, through-wall imaging and medicine. For the operation of such high-resolution systems, sparse multiple-input-multiple-output (MIMO) arrays are of interest to reduce the hardware complexity and cost of conventional planar arrays. In this paper, we present a method for the optimal design of two-dimensional MIMO arrays in near-field imaging. Using a statistical framework, the optimality criterion is defined based on the image reconstruction quality. A modified version of the sequential backward selection algorithm is used to optimize the criterion over all possible locations of desired number of antenna elements. The designs obtained with the algorithm are compared with the commonly used sparse array configurations such as Mills Cross array and curvilinear structure composed array in terms of image reconstruction quality.

关键词： MIMO Microwave imaging Microwave theory and techniques Radar imaging Zirconium image reconstruction

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Complex domain nonlocal block-matching denoising based on high-order singular value decomposition (HOSVD)

Complex domain nonlocal block-matching denoising based on hi...

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European signal processing conference

作者： Vladimir Katkovnik Mykola Ponomarenko Karen Egiazarian Laboratory of Signal Processing Tampere University of Technology Tampere Finland

Block matching 3D collaborative filtering (BM3D) is one of the most popular denoising technique based on data sparsity concept applied to specially structured data. In this paper we develop this technique for complex domain, i.e. for application to complex-valued data. Sparsity as an approximation technique can be addressed directly to complex-valued variables or to real-valued pairs phase/amplitude and real/imaginary parts of complex-valued variables. As a result we arrive to various ways of development and obtain a set of quite different algorithms. The algorithms proposed in this paper are composed from two components: nonlocal patch-wise grouping and high-order singular value decomposition (HOSVD) for grouped data processing. The latter gives data adaptive complex-valued bases for complex-valued data or real-valued bases for joint processing of the pairs phase/amplitude, real/imaginary parts of complex-valued variables. Comparative study of the developed algorithms is produced in order to select the most efficient ones.

关键词： Algorithm design and analysis signal processing algorithms Transforms Three-dimensional displays Noise reduction image reconstruction Extraterrestrial measurements

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Transparent objects: Influence of shape and color on depth perception

Transparent objects: Influence of shape and color on depth p...

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International conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Ar-pha Pisanpeeti Éric Dinet UJM Saint-Etienne Laboratoire Hubert Curien Saint-Etienne France

Recovering depth information from a single still image is an important problem in computer vision. However, the problem is difficult and challenging because it has an infinite number of solutions. To address this issue, humans use numerous visual cues to infer depth. Much progress has been made towards an understanding of the visual mechanisms involved in 3D perception. Such an understanding provides relevant knowledge to design efficient approaches for computer vision. While there is much prior work on opaque objects, there has been relatively little in relation with transparency. In this paper we investigate depth estimation from single still images containing nonplanar and real transparent objects. We focused our study on two visual features: shape and color. A database of stimuli was created to carry out a psychophysical experiment with 42 naïve observers.

关键词： Glass Shape image color analysis Observers Visualization Databases Three-dimensional displays

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Application of System on Chip (SoC) devices for the design of a smoke detector working with megapixel image streams

Application of System on Chip (SoC) devices for the design o...

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International conference on Methods and Models in Automation and Robotics (MMAR)

作者： Wiesław Pamuła Maciej Sajkowski Tomasz Stenzel Jarosław Michalak Grzegorz Baron Bartłomiej Szady Department of Transport Systems and Traffic Engineering Silesian University of Technology Katowice Poland Department of Power Electronics Silesian University of Technology Gliwice Poland Faculty of Automatic Control Institute of Informatics Silesian University of Technology Gliwice Poland

The paper discusses the application of System on Chip devices for processing Megapixel video streams. The domain of image processing using high resolution images is very demanding in the scope of calculating power and frequently exploits special processing hardware. The progress of integration technology brings about SoC which are capable of meeting such processing demands. Characteristics of FPGA and DSP based systems are assessed. A concise survey of chip solutions is presented and a pair of representative systems is chosen for comparison of their properties. The design of a smoke detection system is used for evaluating the advantages and drawbacks of using such SoC solutions. Almost identical image processing algorithms are implemented in the case of FPGA and DSP. Both solutions meet the image processing requirements and are suitable for real time processing. FPGA based solution is much faster as it uses pipelining for improving the utilisation of scarce memory resources.

关键词： Streaming media Digital signal processing Field programmable gate arrays Program processors image resolution Standards

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Memristive system design for variable pixel g-neighbor denoising filter

arXiv

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arXiv 2017年

作者： Aliakhmet, Kamilla Sadykova, Diana Mathew, Joshin James, Alex Pappachen School of Engineering Nazarbayev University Ars Traffic and Transport Technology India

image blurring artifact is the main challenge to any spatial, denoising filters. This artifact is contributed by the heterogeneous intensities within the given neighborhood or window of fixed size. Selection of most similar intensities (G-Neighbors) helps to adapt the window shape which is of edge-Aware nature and subsequently reduce this blurring artifact. The paper presents a memristive circuit design to implement this variable pixel G-Neighbor filter. The memristive circuits exhibits parallel processing capabilities (near realtime) and neuromorphic architectures. The proposed design is demonstrated as simulations of both algorithm (MATLAB) and circuit (SPICE). Circuit design is evaluated for various parameters such as processing time, fabrication area used, and power consumption. Denoising performance is demonstrated using image quality metrics such as peak signal-Tonoise ratio (PSNR), mean square error (MSE), and structural similarity index measure (SSIM). Combining adaptive filtering method with mean filter resulted in average improvement of MSE to about 65% reduction, increase of PSNR and SSIM to nearly 18% and 12% correspondingly. Copyright © 2017, The Authors. All rights reserved.

关键词： SPICE

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An Advanced Embedded Architecture for Connected Component Analysis in Industrial Applications 20

An Advanced Embedded Architecture for Connected Component An...

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20th conference and Exhibition on design, Automation and Test in Europe (DATE)

作者： Tekleyohannes, Menbere Sadri, Mohammadsadegh Weis, Christian Wehn, Norbert Klein, Martin Siegrist, Michael Univ Kaiserslautern Kaiserslautern Germany Wipotec Wiege & Positioniersyst GmbH Kaiserslautern Germany

ISBN: (纸本)9783981537093

In recent years, connected component analysis (CCA) has become one of the vital image/video processing algorithms due to its wide-range applicability in the field of computer vision. Numerous applications such as pattern recognition, object detection and image segmentation involve connected component analysis. In the context of camera-based inspection systems, CCA plays an important role for quality assurance. State-of-the-art hardware architectures offer high performance implementations of CCA using field programmable gate arrays (FPGAs). However, due to their high memory-demand, most of these implementations inhibit a large resource utilization. In this paper, we propose a hybrid software-hardware architecture of CCA for an industrial application using Xilinx Zynq-7000 All Programmable System on Chip (SoC). By offloading the most resource consuming part of the algorithm to the embedded CPU, we achieved high performance, while reducing the required resources on the FPGA. Our proposed architecture saves more than 30% of on-chip memory (Block RAMs) compared to state-of-the-art hardware architectures without affecting the throughput. Furthermore, due to the embedded CPU, our system provides a versatile and highly flexible feature extraction at run-time without the necessity to reconfigure the FPGA.

关键词： Feature extraction Computer architecture Field programmable gate arrays Hardware Random access memory Throughput Algorithm design and analysis

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The effect of pre-processing steps on geometric based hyperspectral unmixing algorithms

The effect of pre-processing steps on geometric based hypers...

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IEEE signal processing and Communications Applications (SIU)

作者： Bilal Kocakuşaklar Burak Alptekin Nihan Kahraman Elektronik ve Haberleşme Mühendisliği Bölümü Yıldız Teknik Üniversitesi İstanbul Türkiye

Hyperspectral unmixing is a process to find number of surface materials (called endmember), estimation of their signatures, their abundance fractions in each pixel on the scene. Geometric based algorithms are developed for hyperspectral unmixing problem in the literature. The distribution of spectra (points in n-dimensional scatterplot) can be used to estimate endmember signatures geometrically. Both denoising and the use of spatial information in the hyperspectral image as a pre-processing step may cause the endmember signatures to be estimated closer to the truth. For this purpose, Spatio-spectral total variation (SSTV) is used for denoising and Spatial pre-processing (SPP) is used for the use of spatial information. Experiments on real data have shown that these pre-processing steps lead to closer endmember signature estimates.

关键词： Hyperspectral imaging Metals Algorithm design and analysis Noise reduction Classification algorithms

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1st International conference on Intelligent Computing and Communication, ICIC2 2016

1st International Conference on Intelligent Computing and Co...

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1st International conference on Intelligent Computing and Communication, ICIC2 2016

ISBN: (纸本)9789811020346

The proceedings contain 70 papers. The special focus in this conference is on Biomedical image processing, Bioinformatics, Cloud Computing, Communication Network, Device System, Modeling, Security and Cryptography. The topics include: Concentration of acetone levels in breath for monitoring blood glucose level;an insight into signal transduction for ophthalmology;common subcluster mining to explore molecular markers of lung cancer;intelligent storage management using cloud shared disk architecture;introspecting effect of packet size on end-to-end network delay;an ontology based context aware protocol in healthcare services;link based protection of light trail in WDM mesh networks;event detection over twitter social media;comparative study of parallelism on data mining;brief review on optimal suffix data structures;closure based integrated approach for associative classifier;a novel mapreduce based k-means clustering;cross-coupled dynamic CMOS latches;cross-coupled dynamic CMOS latches;design based new coupling metric for component based development environment;scientific workflow management system for community model in data fusion;a new implementation scheme in robotic vehicle propulsion using brushless DC motor;binary fuzzy goal programming for effective utilization of IT professionals;AVR microcontroller based conference presentation timer;a person identification system with biometrics using modified RBFN based multiple classifiers;automatic measurement and analysis of vessel width in retinal fundus image;an eigencharacter technique for offline-tamil handwritten character recognition;page-to-word extraction from unconstrained handwritten document images and a novel approach to E-Voting using multi-bit steganography.

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Low-Cost DNN Hardware Accelerator for Wearable, High-Quality Cardiac Arrythmia Detection

Low-Cost DNN Hardware Accelerator for Wearable, High-Quality...

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International conference on Application Specific Systems (ASAP), architectures and Processors

作者： Johnson Loh Jianan Wen Tobias Gemmeke Chair of Integrated Digital Systems and Circuit Design RWTH Aachen University Aachen Germany

ISBN: (数字)9781728171470

ISBN: (纸本)9781728172798

This work implements a digital signal processing (DSP) accelerator for ECG signal classification. Targeting the integration into wearable devices for 24/7 monitoring, low energy consumption per classification is a key requirement, while maintaining a high classification accuracy at the same time. Co-optimization on algorithm and hardware level led to an architecture consisting mostly of convolution operations in the processing pipeline. The realized discrete wavelet transform and convolutional neural network (CNN) is utilized for continuous time-sequence classification in a sliding-window approach moving away from sample/batch-based processing typical for CNNs. In contrast to previous hardware realizations in this domain, the proposed design was validated using the benchmark dataset from the demanding CinC challenge 2017. The architecture achieves a competitive 0.781 Fl-score with only 5597 trainable parameters reducing the computational complexity of state-of-the-art ECGDNN software solutions by three orders of magnitude. Synthesis in a 22-nm FDSOI-CMOS technology features 0.783 $\mu$J per solution meeting requirements for edge device operation at high-end classification performance.

关键词： Computer architecture Discrete wavelet transforms Electrocardiography Logic gates Clocks Hardware Quantization (signal)

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