Convolution

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In mathematics and, in particular, functional analysis, convolution is a mathematical operation on two functions f and g, producing a third function that is typically viewed as a modified version of one of the original functions. (Wikipedia.org)






Conferences related to Convolution

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2018 14th IEEE International Conference on Signal Processing (ICSP)

ICSP2018 includes sessions on all aspects of theory, design and applications of signal processing. Prospective authors are invited to propose papers in any of the following areas, but not limited to: A. Digital Signal Processing (DSP)B. Spectrum Estimation & ModelingC. TF Spectrum Analysis & WaveletD. Higher Order Spectral AnalysisE. Adaptive Filtering &SPF. Array Signal ProcessingG. Hardware Implementation for Signal ProcessingH Speech and Audio CodingI. Speech Synthesis & RecognitionJ. Image Processing & UnderstandingK. PDE for Image ProcessingL.Video compression &StreamingM. Computer Vision & VRN. Multimedia & Human-computer InteractionO. Statistic Learning & Pattern RecognitionP. AI & Neural NetworksQ. Communication Signal processingR. SP for Internet and Wireless CommunicationsS. Biometrics & AuthentificationT. SP for Bio-medical & Cognitive ScienceU


2018 18th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM)

ANTEM's technical sessions will provide a comprehensive and well-balanced program and are intended to provide an international forum for the exchange of information on state-of-the-art research in antennas, propagation, and electromagnetic engineering. Authors are invited to submit contributions for review and possible presentation during the symposium on topics of interest to ANTEM. In addition to regularly scheduled sessions for oral presentations, there will be distinguished lecturers and special sessions. There will be a Student Paper Competition as well as a Technical Exhibition.


2018 9th International Particle Accelerator Conference (IPAC)

Topics cover a complete survey of the field of charged particle accelerator science and technology and infrastructure.


2018 International Conference on Microwave and Millimeter Wave Technology (ICMMT)

ICMMT2018 is intended to provide a broad international forum and nice opportunity for the scientists and engineers to present their new ideas and exchange information on research.


2017 14th International Conference The Experience of Designing and Application of CAD Systems in Microelectronics (CADSM)

Modeling and simulation of hydro- and gasodynamic processes. New materials in microelectronics. New technology of IC and MEMS industry. Practical realization and industrial application. Problems of technological processes testing. Problems of reliability estimation.Signal processing in radioelectronic systems and telecommunications. Telecommunications and radioelectronic design tools. Electronic and computer tools in biomedical engineering. Methods and tools of digital signal processing.Specialized computer system. Computer system and networks. Data and knowledge bases. Design of MEMS elements. CAD systems for MEMS design.Problemss of optimal design. Object-oriented design methods. Combinatorial and graph tasks of huge size. Constructor design of radioelectronic means. Design solving verification. Thermal problems in microelectronics.Mathematical model of sensors and actuators. Microsystems modeling and design. New microelectronic technologies.


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Periodicals related to Convolution

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)


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Xplore Articles related to Convolution

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Self-Healing Properties of Partially Coherent Schell-Model Beams

Gaofeng Wu; Xiaoyan Pang IEEE Photonics Journal, 2017

Convolution expression for partially coherent beams that are partially blocked by an opaque obstacle is derived in detail in a paraxial ABCD optical system. The examples are shown to how the formula can be applied to study the self- healing for different beams and different obstructions. In particular, this approach can be used to conveniently deal with any partially coherent ...


Digital computer simulation of high rate convolutional coding systems

A. Abou El-Azm Proceedings Second IEEE Symposium on Computer and Communications, 1997

Often communications systems are too complicated to analyze completely by using only analytical techniques, or a complete analytical approach would be too costly in terms of personnel and time. In these cases, a digital computer simulation is used, as shown in this paper, to provide a practical approach to system design and analysis. This paper presents computer simulation to design ...


Integrating convolutional neural networks into a sparse distributed representation model based on mammalian cortical learning

Daniel E. Padilla; Mark D. McDonnell 2016 International Joint Conference on Neural Networks (IJCNN), 2016

Biological brains exhibit a remarkable capacity to recognise real-world patterns effectively. Despite major advances in neuroscience over the last few decades, an understanding of the brain's underlying mechanisms for pattern recognition remains unattained. Efforts to replicate such high-level brain functions on the basis of the limited, low-level known details of the brain have naturally led to critical assumptions that make ...


Real-Time SURF-Based Video Stabilization System for an FPGA-Driven Mobile Robot

Tahiyah Nou Shene; K. Sridharan; N. Sudha IEEE Transactions on Industrial Electronics, 2016

Mobile robots are used for search and rescue purposes in emergency informatics. The robots typically carry a vision system to gather information about the environment and pass on to remotely located rescue teams. When the robot moves, in view of the uneven nature of the terrain, the camera is subjected to vibrations and as a result, the transmitted videos tend ...


SAR image target detection based on multi-scale auto-convolution variance saliency

Guo-li Wang; Wei Zhou; Li-bo Yao; Jian Guan IET International Radar Conference 2013, 2013

Aimed at the target detection problems of strong echoes in SAR images under complex background, an adaptive target detection algorithm is proposed on the basis of the multiscale auto-convolution variance saliency (MSAVS). First, with the calculation of MSAVS, the variance saliency map is obtained by using the presented algorithm. Second, an auto-selecting-threshold detector is constructed according to the complexity of ...


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Educational Resources on Convolution

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eLearning

Self-Healing Properties of Partially Coherent Schell-Model Beams

Gaofeng Wu; Xiaoyan Pang IEEE Photonics Journal, 2017

Convolution expression for partially coherent beams that are partially blocked by an opaque obstacle is derived in detail in a paraxial ABCD optical system. The examples are shown to how the formula can be applied to study the self- healing for different beams and different obstructions. In particular, this approach can be used to conveniently deal with any partially coherent ...


Digital computer simulation of high rate convolutional coding systems

A. Abou El-Azm Proceedings Second IEEE Symposium on Computer and Communications, 1997

Often communications systems are too complicated to analyze completely by using only analytical techniques, or a complete analytical approach would be too costly in terms of personnel and time. In these cases, a digital computer simulation is used, as shown in this paper, to provide a practical approach to system design and analysis. This paper presents computer simulation to design ...


Integrating convolutional neural networks into a sparse distributed representation model based on mammalian cortical learning

Daniel E. Padilla; Mark D. McDonnell 2016 International Joint Conference on Neural Networks (IJCNN), 2016

Biological brains exhibit a remarkable capacity to recognise real-world patterns effectively. Despite major advances in neuroscience over the last few decades, an understanding of the brain's underlying mechanisms for pattern recognition remains unattained. Efforts to replicate such high-level brain functions on the basis of the limited, low-level known details of the brain have naturally led to critical assumptions that make ...


Real-Time SURF-Based Video Stabilization System for an FPGA-Driven Mobile Robot

Tahiyah Nou Shene; K. Sridharan; N. Sudha IEEE Transactions on Industrial Electronics, 2016

Mobile robots are used for search and rescue purposes in emergency informatics. The robots typically carry a vision system to gather information about the environment and pass on to remotely located rescue teams. When the robot moves, in view of the uneven nature of the terrain, the camera is subjected to vibrations and as a result, the transmitted videos tend ...


SAR image target detection based on multi-scale auto-convolution variance saliency

Guo-li Wang; Wei Zhou; Li-bo Yao; Jian Guan IET International Radar Conference 2013, 2013

Aimed at the target detection problems of strong echoes in SAR images under complex background, an adaptive target detection algorithm is proposed on the basis of the multiscale auto-convolution variance saliency (MSAVS). First, with the calculation of MSAVS, the variance saliency map is obtained by using the presented algorithm. Second, an auto-selecting-threshold detector is constructed according to the complexity of ...


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IEEE-USA E-Books

  • Closed Queueing Networks

    This chapter contains sections titled: Jackson Closed Queueing Networks Steady‐state Probability Distribution Convolution Algorithm Performance Measures Mean Value Analysis Application of Closed Queueing Networks Problems

  • DBRV Method for Calculation of the ISI Statistic

    This chapter contains sections titled: Introduction Matrix Method for the Total ISI Simulations of ISI PDF Concepts for the Gaussian Statistic DBRV Method for the Total ISI Conclusions References

  • Positive Operators

    This chapter contains sections titled: 3.1 Introduction, 3.2 Positive Convolution Operators and Positive Memoryless Operators, 3.3 Memoryless Time- Invariant Nonlinear Operators, 3.4 Periodic Gain, 3.5 Positive Operators with Monotone or Odd-Monotone Nonlinearities, 3.6 Frequency-Power Relations for Nonlinear Resistors, 3.7 Factorization of Operators, 3.8 Positive Operators on Extended Spaces, Referenc

  • Appendix A: Convolution Properties

    This chapter contains sections titled: Identity Commutativity Associativity Distributivity Circularity

  • Power System Harmonics

    The French mathematician J. B. J. Fourier showed that arbitrary periodic functions could be represented by an infinite series of sinusoids of harmonically related frequencies. This chapter first defines periodic functions and orthogonal functions. A periodic function can be expanded in a Fourier series. The Fourier series of a periodic function is the sum of sinusoidal components of different frequencies. The chapter then illustrates the functions of odd or skew symmetry, even symmetry and half-wave symmetry. The odd and even symmetry has been obtained with the triangular function by shifting the origin. Fourier analysis of a continuous periodic signal in the time domain gives a series of discrete frequency components in the frequency domain. The chapter describes Dirichlet conditions and notion of power spectrum. Finally, it explains the function of convolution, which is generally carried out in the frequency domain.

  • Biomedical Signals and Systems

    Biomedical Signals and Systems is meant to accompany a one-semester undergraduate signals and systems course. It may also serve as a quick-start for graduate students or faculty interested in how signals and systems techniques can be applied to living systems. The biological nature of the examples allows for systems thinking to be applied to electrical, mechanical, fluid, chemical, thermal and even optical systems. Each chapter focuses on a topic from classic signals and systems theory: System block diagrams, mathematical models, transforms, stability, feedback, system response, control, time and frequency analysis and filters. Embedded within each chapter are examples from the biological world, ranging from medical devices to cell and molecular biology. While the focus of the book is on the theory of analog signals and systems, many chapters also introduce the corresponding topics in the digital realm. Although some derivations appear, the focus is on the concepts and how to apply th m. Throughout the text, systems vocabulary is introduced which will allow the reader to read more advanced literature and communicate with scientist and engineers. Homework and Matlab simulation exercises are presented at the end of each chapter and challenge readers to not only perform calculations and simulations but also to recognize the real- world signals and systems around them. Table of Contents: Preface / Acknowledgments / Introduction / System Types / System Models / Laplace Transform / Block Diagrams / Stability / Feedback / System Response / Control / Time Domain Analysis / Frequency Domain Analysis / Filters / Author's Biography

  • A Bound on the Output of a Circular Convolution with Application to Digital Filtering

    When implementing a digital filter, it is important to utilize in the design a bound or estimate of the largest output value which will be obtained. Such a bound is particularly useful when fixed point arithmetic is to be used since it assists in determining register lengths necessary to prevent overflow. In this paper we consider the class of digital filters which have an impulse response of finite duration and are implemented by means of circular convolutions performed using the discrete Fourier transform. A least upper bound is obtained for the maximum possible output of a circular convolution for the general case of complex input sequences. For the case of real input sequences, a lower bound on the least upper bound is obtained. The use of these results in the implementation of this class of digital filters is discussed.

  • Risk Evaluation Techniques for Power Systems

    Power systems are divided into the functional zones of generation, transmission, substation, and distribution. This chapter illustrates the risk evaluation techniques for generation, distribution, substation, and composite generation and transmission systems. For each functional zone, both analytical and Monte Carlo simulation methods are discussed, system analysis techniques are presented, and the formulas of risk indices are derived. The risk indices are the numerical results of power system risk assessment. The calculation formulas of the indices for generation, distribution, substation, and composite generation and transmission systems have been developed in the chapter.

  • Mathematical Modeling

    This chapter contains sections titled: * Generalized System Properties * Models with Combinations of System Elements * Linear Models of Physiological Systems: Two Examples * Distributed-Parameter versus Lumped-Parameter Models * Linear Systems and the Superposition Principle * Laplace Transforms and Transfer Functions * The Impulse Response and Linear Convolution * State-Space Analysis * Computer Analysis and Simulation-MATLAB and SIMULINK This chapter contains sections titled: * Bibliography * Problems

  • Acoustical Impulse Response Functions of Music Performance Halls

    Digital measurement of the analog acoustical parameters of a music performance hall is difficult. The aim of such work is to create a digital acoustical derivation that is an accurate numerical representation of the complex analog characteristics of the hall. The present study describes the exponential sine sweep (ESS) measurement process in the derivation of an acoustical impulse response function (AIRF) of three music performance halls in Canada. It examines specific difficulties of the process, such as preventing the external effects of the measurement transducers from corrupting the derivation, and provides solutions, such as the use of filtering techniques in order to remove such unwanted effects. In addition, the book presents a novel method of numerical verification through mean-squared error (MSE) analysis in order to determine how accurately the derived AIRF represents the acoustical behavior of the actual hall.



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