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检索条件"任意字段=2016 Conference on Design and Architectures for Signal and Image Processing, DASIP 2016"

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design of SAS real-time image display based on FPGA and DSP

Design of SAS real-time image display based on FPGA and DSP

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2016 6th International conference on Machinery,Materials,Environment,Biotechnology and Computer(MMEBC 2016)

作者： Wang Junxian Li Junnan Wang Weidong Wang Jing School of information Yunnan University

In order to improve the performance of real-time, stability and high-resolution display of sonar signal processing system, the article designs and realizes a kind of mobile phone screen real-time display system based on FPGA + DSP, with The FPGA, DSP and SSD2828 device as the hardware coreIt fully meets the requirements of SAS real-time processing system for display in the sonar image display system controlling, data transmission capacity and computing power with a combination of hardware and software.

关键词： SAS FPGA DSP MIPI Mobile phone display

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Hardware-aware performance evaluation for the co-design of image sensors and vision algorithms

Hardware-aware performance evaluation for the co-design of i...

引用

International conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit design (SMACD)

作者： C. Villegas-Pachón R. Carmona-Galán J. Fernández-Berni Á. Rodríguez-Vázquez Institute of Microelectronics of Seville (IMSE-CNM) CSIC-University of Seville Spain

ISBN: (纸本)9781509004911

The top-down approach to system design allows obtaining separate specifications for each subsystem. In the case of vision systems, this means propagating system-level specifications down to particular specifications for e. g. the image sensor, the image processor, etc. This permits to adopt different design strategies for each one of them, as long as they meet their own specifications. This approach can lead to over-design, which is not always affordable. Conversely, if higher-level specifications are too tight, they can lead to impossible specifications at the lower levels. This is certainly the case for embedded vision systems in which high-performance needs to be paired with a very restricted power budget. In order to explore alternative architectures, we need tools that allow for simultaneous optimization of different blocks. However, the link between low-level non-idealities and high-level performance is missing. CAD tools for the design and verification of analog and mixed-signal integrated circuits are not well suited for the simulation of higher-level functionalities. Our approach is to extract relevant data from circuit-level simulation and to build an OpenCV model to be employed in the design of the algorithm. The utility of this approach is illustrated by the evaluation of the effect of column-wise and pixel-wise FPN at the sensor on the performance of Viola-Jones face detection.

关键词： Algorithm design and analysis image sensors Solid modeling Machine vision Integrated circuit modeling Computer vision Hardware

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A fast algorithm for demixing signals with structured sparsity

A fast algorithm for demixing signals with structured sparsi...

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International conference on signal processing and Communications, SPCOM

作者： Chinmay Hegde Electrical and Computer Engineering Iowa State University Ames IA USA

ISBN: (纸本)9781509017478

Demixing, or source separation, involves disentangling a complicated signal into simpler, more informative components. Algorithms for signal demixing impact several applications, ranging from interference cancellation in communication signals, foreground-background separation in images and video, and outlier suppression in machine learning. Central to several modern demixing algorithms is an assumption of some form of low-dimensional structure in the signal components. However, the majority of these modern algorithms are based on convex optimization, and their computational complexity can be high (polynomial) in terms of the signal size. In this paper, we propose a new algorithmic approach for signal demixing based on structured sparsity models. Our approach leverages recent advances in constructing sparsity models via appropriately chosen graphs; this graphical approach can be shown to model a diverse variety of low-dimensional structures in signals. Despite being highly nonconvex, our algorithm exhibits a nearly-linear running time, and therefore is scalable to very high-dimensional signals. We supplement our proposed algorithm with a theoretical analysis, providing sufficient conditions for provably reconstruction of the underlying components. Finally, we demonstrate the validity of the method via numerical experiments on real 2D image data.

关键词： Algorithm design and analysis Convex functions Two dimensional displays Convergence Approximation algorithms Mathematical model Optimization

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Improvement in InSAR phase unwrapping using external DEM

Improvement in InSAR phase unwrapping using external DEM

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International conference on Communications and signal processing

作者： Nidhi Chaubey Swati Upadhyay Ashish Joshi Neeraj Mishra S K Patra Santanu Chowdhury Advanced Data Processing Research Institute Secunderabad

ISBN: (纸本)9781467385497

Interferometric synthetic aperture radar (InSAR) technique is widely used for DEM generation and regeneration. Phase unwrapping is one of the most crucial operation in DEM generation through InSAR process. Difficulty in phase unwrapping arises due to the phase error in the interferogram, derived from interferometric pairs. This phase error can occurs due to various factors like system noise, decorrelation for non-simultaneous image acquisitions, image misregistration, geometric decorrelation and atmospheric phase screen (APS) difference between acquired InSAR pairs. In this paper, we present an improved phase unwrapping approach which reduces the phase errors introduced due to decorrelation. Phase errors are reduced by using simulated phase. Simulated phase generated through orbit model of InSAR pair in slant range plane, by using external coarse DEM. Branch-cut and least-square algorithms are used for phase unwrapping in the process of DEM generation. A comparative analysis on the results of both the algorithms is also presented. Results of both phase unwrapping algorithms of direct and blending of simulated phase are compared. Our procedure improves the phase unwrapping significantly that gives improved DEM.

关键词： Coherence Algorithm design and analysis Orbits Mathematical model Decorrelation Synthetic aperture radar Radar tracking

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No-reference image quality assessment using statistics of sparse representations

No-reference image quality assessment using statistics of sp...

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International conference on signal processing and Communications, SPCOM

作者： K. V. S. N. L. Manasa Priya Balasubramanyam Appina Sumohana Channappayya Dept. of Electrical Engineering IIT Hyderabad Kandi 502285 India Dept. of Electrical Engineering IIT Hyderabad Kandi India

ISBN: (纸本)9781509017478

We present a no-reference (NR) image quality assessment (IQA) algorithm that is inspired by the representation of visual scenes in the primary visual cortex of the human visual system. Specifically, we use the sparse coding model of the area V1 to construct an overcomplete dictionary for sparsely representing pristine (undistorted) natural images. First, we empirically demonstrate that the distribution of the sparse representation coefficients of natural images have sharp peaks and heavy tails, and can therefore be modeled using a Univariate Generalized Gaussian Distribution (UGGD). We then show that the UGGD model parameters form good features for distortion estimation and formulate our no-reference IQA algorithm based on this observation. Subsequently, we find UGGD model parameters that are representative of the class of pristine natural images. This is achieved using a training set of undistorted natural images. The perceptual quality of a test image is then defined to be the likelihood of its sparse coefficients being generated from the pristine UGGD model. We show that the proposed algorithm correlates well with subjective evaluation over several standard image databases. Further, the proposed method allows us to construct a distortion map that has several useful applications like distortion localization, adaptive rate allocation etc. Finally and importantly, the proposed NR-IQA algorithm does not make use of any distortion information or subjective scores during the training process.

关键词： Dictionaries Distortion Algorithm design and analysis image quality Clustering algorithms Training Visualization

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Mixer architecture with improved image rejection and interference mitigation for cognitive radio

Mixer architecture with improved image rejection and interfe...

引用

IEEE India conference (INDICON)

作者： D. Varun Govind R. Kadambi Dept. of ECE MSRUAS Bengaluru INDIA (Bharat) MSRUAS Bengaluru INDIA (Bharat)

ISBN: (纸本)9781509036479

image frequencies and in-band interferences degrade the system performance by masking the desired down-converted signal and therefore rendering a radio receiver inoperable. This paper, elucidates an architecture for improved image rejection and interference mitigation which are critical in Cognitive Radio (CR) architectures. Many attempts have been made to mitigate these interferences in a CR receiver by applying baseband processing or phasing techniques. This paper tries to improve the selectivity by rejecting undesired frequencies and interferences. A feedback or feed forward technique can be applied to detect, estimate and reject undesirable frequency bands. Thus an architecture has been proposed in this paper to reject image and mitigate interference frequencies. The said architecture consists of a modified Weaver architecture for interference mitigation cascaded to a Hartley image rejection mixer. The proposed architecture has been simulated on an EDA tool compelling into the performance metrics such as conversion gain of -3 dB, noise figure of >3 dB, IIP3 of 30 dBm, P1dB of 10 dBm and isolation metrics of the available standard wideband active mixers. The Hartley image rejection mixer provides a robust image Rejection Ratio (IRR) of 30 dB and the modified Weaver architecture provides an interference mitigation up to 20 dB.

关键词： Interference Mixers Weaving Computer architecture Receivers Radio frequency Power harmonic filters

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A Synthesis Flow for Fast Convolution Unit Based on Molecular Reactions 9

A Synthesis Flow for Fast Convolution Unit Based on Molecula...

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9th International conference on Wireless Communications and signal processing (WCSP)

作者： Zhuang, Yuchen Ge, Lulu Wei, Wei Zhao, Jing You, Xiaohu Zhang, Chuan Lab Efficient Architectures Digital Commun & Sign Nanjing Jiangsu Peoples R China Southeast Univ Natl Mobile Commun Res Lab Nanjing Jiangsu Peoples R China Nanjing Univ State Key Lab Coordinat Chem Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781538620625

Nowadays, molecular computing and artificial intelligence have drawn intensive attentions from both academia and industry. Therefore, people begin to seek possible combination of these two promising areas. In this paper, with the aid of chemical reaction networks (CRNs), a design methodology of realizing the key block of fast convolution unit (FCU) in convolutional neural networks (CNNs) is proposed. In order to address the difficulty when "compiling" a complex traditional circuit into CRNs, this paper devotes itself in offering a systematic method to construct the n-parallel FCUs, where a 3-parallel FCU case is employed as a running example. Theoretical analysis, numerical simulation, and complexity comparison have proved the validity of this method and ensured its convenience, robustness, and efficiency. Though preliminary, the proposed method can be readily employed to design other arithmetic blocks of CNNs. Thanks to the high parallelism of CRNs, it is believed that this method offers another perspective to address the complexity of CNN implementation, especially when the system scale is large.

关键词： Chemical reaction networks (CRNs) convolutional neural networks (CNNs) fast convolution units (FCUs)

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Parallel image dehazing algorithm based on GPU using fuzzy system and hybird evolution algorithm

Parallel image dehazing algorithm based on GPU using fuzzy s...

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ACIS International conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD)

作者： Che-Lun Hung Ren-You Yan Hsiao-Hsi Wang Department of Computer Science and Communication Engineering Providence University Taichung Taiwan Department of Computer Science and Information Management Providence University Taichung Taiwan

Haze is an atmospheric phenomenon that fogs the visibility of the scenes. Removing the haze has been an important issue in image processing technologies. Many image dehazing technologies with evolution algorithms have been proposed to remove the fog in the image. However, these algorithms usually are compute-intensive. In this paper, we propose a parallel hybrid evolution algorithm based on GPU to enhance the computational performance. In traditional evolution algorithms, the calculation of fitness function occupies the most of the computation time. In the proposed method, we implement this part on GPU by using CUDA framework to reduce the computational load. The experiment results show that the proposed method can remove the haze efficiently and successfully.

关键词： Graphics processing units Fuzzy systems Evolutionary computation signal processing algorithms Algorithm design and analysis Genetic algorithms Entropy

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Phase Recovery for 3D SAR Range Focusing

Phase Recovery for 3D SAR Range Focusing

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Radar conference

作者： Mehrdad Yaghoobi Shaun I. Kelly Mike E. Davies the Institute for Digital Communication and with the Joint Research Institute for Signal and Image Processing Edinburgh University Kings Buildings Mayfield Road Edinburgh EH9 3JL UK Blackmagic Design Australia

ISBN: (纸本)9781509008643

The problem of calibrating Synthetic Aperture Radar (SAR) data for 3D image formation will be investigated here. A source of errors in modern radar systems is inaccurate range estimations, during the data collection. This is caused by two ambiguities in the platform location and the scene topography map. Such range estimation errors induce some asynchronization in the dechirping process, i.e. a shift in the range direction. When such an error is small, the final image will be blurred and possibly compensated using conventional autofocus techniques. In multipass SAR image formation, this error between the passes is large and we need a different machinery to correct it.

关键词： caused ambiguities platform

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design of Wideband Radar signal Simulator Based on High-Speed DDS Technology

Design of Wideband Radar Signal Simulator Based on High-Spee...

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2016 IEEE International conference on signal and image processing

作者： Liu Xing-hai Yang Jian Yu Yong Shen Kai Xi'an Research Institute of Hi-Tech

Radar signal simulation technology plays an important role in the development, performance and evaluation testing stage of modern radar *** paper focuses on the design principles and hardware components of a wideband radar signal simulator based on high-speed DDS technology and Compact PCI *** result of joint commissioning between computer software and hardware system shows that this simulator can generate a variety of radar signals reliably and switch quickly among these *** is of good practical value in engineering practices.

关键词： Wideband radar signal simulator DDS Compact PCI bus Computer software

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