Convolution
31,178 resources related to Convolution
IEEE Organizations related to Convolution
Back to TopConferences related to Convolution
Back to Top2014 IEEE International Conference on Systems, Man and Cybernetics  SMC
SMC2014 targets advances in Systems Science and Engineering, HumanMachine Systems, and Cybernetics involving stateofart technologies interacting with humans to provide an enriching experience and thereby improving the quality of lives including theories, methodologies, and emerging applications.
2013 45th Southeastern Symposium on System Theory (SSST)
SSST invites papers generally focused on the subject of system theory, including topics such as control, modeling, differential and difference equations, computational methods and intelligence, neural systems, and applications of system theory.
2013 IEEE 24th International Conference on Applicationspecific Systems, Architectures and Processors (ASAP)
The conference will cover the theory and practice of applicationspecific systems, architectures and processors. The 2013 conference will build upon traditional strengths in areas such as arithmetic, cryptography, compression, signal and image processing, applicationspecific instruction processors, etc.
2010 International Conference on Information and Automation (ICIA)
The objective of ICIA 2010 is to provide a forum for researchers, educators, engineers, and government officials involved in the general areas of informtion, robotics, automation and sensors to disseminate their latest research results and exchange views on the future research directions.
Periodicals related to Convolution
Back to TopCircuits 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, highspeed realtime circuits, VLSI architecture and implementation for video technology, multiprocessor systemshardware and software ...
Education, IEEE Transactions on
Educational methods, technology, and programs; history of technology; impact of evolving research on education.
Image Processing, IEEE Transactions on
Signalprocessing aspects of image processing, imaging systems, and image scanning, display, and printing. Includes theory, algorithms, and architectures for image coding, filtering, enhancement, restoration, segmentation, and motion estimation; image formation in tomography, radar, sonar, geophysics, astronomy, microscopy, and crystallography; image scanning, digital halftoning and display, andcolor reproduction.
Multimedia, IEEE Transactions on
The goal of IEEE Transactions on Multimedia is to integrate all aspects of multimedia systems and technology, signal processing, and applications. It will cover various aspects of research in multimedia technology and applications including, but not limited to: circuits, algorithms and macro/microarchitectures, software, detailed design, synchronization, interaction, joint processing and coordination of multimedia and multimodal signals/data, compression, storage, retrieval, communication, ...
Photonics Technology Letters, IEEE
Rapid publication of original research relevant to photonics technology. This expanding field emphasizes laser and electrooptic technology, laser physics and systems, applications, and photonic/ lightwave components and applications. The journal offers short, archival publication with minimal delay.
More Periodicals
Xplore Articles related to Convolution
Back to TopBounds on εrate for linear, timeinvariant, multiinput/multioutput channels
D. Hajela; M. L. Honig IEEE Transactions on Information Theory, 1990
Upper and lower bounds on the εrate of a linear, timeinvariant multiple input multiple output channel are derived by using the same volume argument previously used by W.L. Root (1968) for single input single output channels. Because these bounds are not very tight, an approximation to the εrate is presented which lies between the upper and lower bounds, and can ...
D. J. Goodman; C. E. W. Sundberg IEEE Transactions on Vehicular Technology, 1983
The performance of an adjustable source/channel codec in a cellular mobile radio environment is investigated. The speech transmission rate and the amount of forward error correction change in response to changing channel conditions. The channel rate is constant at 32 kb/s, and when the channel is good all of these bits are used for speech transmission. In intermediate and poor ...
The SkipandSet FastDivision Algorithm
P. A. Ligomenides IEEE Transactions on Computers, 1977
A fastdivision algorithm, effectively implementable with available IC technology, has been developed and implemented. Especially suited for asynchronous division units, the skipandset algorithm provides simple control provisions for the division of numbers in any format and to any fractional precision.
S. Wang; B. Liu; S. R. Kulkarni IEEE Transactions on Image Processing, 1996
We consider tomographic image reconstruction from a limited number of noisy projections. An efficient algorithm based on maximum likelihood estimation (MLE) is developed to reconstruct images of multiple discs with unknown locations and radii. The algorithm is successfully applied to images with signaltonoise ratio (SNR) as low as 0 dB, using as few as 16 projections, and containing as many ...
RealTime SURFBased Video Stabilization System for an FPGADriven 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 ...
More Xplore Articles
Educational Resources on Convolution
Back to TopeLearning
Bounds on εrate for linear, timeinvariant, multiinput/multioutput channels
D. Hajela; M. L. Honig IEEE Transactions on Information Theory, 1990
Upper and lower bounds on the εrate of a linear, timeinvariant multiple input multiple output channel are derived by using the same volume argument previously used by W.L. Root (1968) for single input single output channels. Because these bounds are not very tight, an approximation to the εrate is presented which lies between the upper and lower bounds, and can ...
D. J. Goodman; C. E. W. Sundberg IEEE Transactions on Vehicular Technology, 1983
The performance of an adjustable source/channel codec in a cellular mobile radio environment is investigated. The speech transmission rate and the amount of forward error correction change in response to changing channel conditions. The channel rate is constant at 32 kb/s, and when the channel is good all of these bits are used for speech transmission. In intermediate and poor ...
The SkipandSet FastDivision Algorithm
P. A. Ligomenides IEEE Transactions on Computers, 1977
A fastdivision algorithm, effectively implementable with available IC technology, has been developed and implemented. Especially suited for asynchronous division units, the skipandset algorithm provides simple control provisions for the division of numbers in any format and to any fractional precision.
S. Wang; B. Liu; S. R. Kulkarni IEEE Transactions on Image Processing, 1996
We consider tomographic image reconstruction from a limited number of noisy projections. An efficient algorithm based on maximum likelihood estimation (MLE) is developed to reconstruct images of multiple discs with unknown locations and radii. The algorithm is successfully applied to images with signaltonoise ratio (SNR) as low as 0 dB, using as few as 16 projections, and containing as many ...
RealTime SURFBased Video Stabilization System for an FPGADriven 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 ...
More eLearning Resources
IEEEUSA EBooks

Convolutional Representations of ContinuousTime Systems
This chapter contains sections titled: Introduction, The LTransform Convolution Theorem, Convolution and General LTI Systems, Causality and Stability, Summary, Exercises for Chapter 10, Problems for Chapter 10

A Novel Architecture Design for VLSI Implementation of an FIR Decimation Filter
A novel architecture design of a one stage FIR filter for decimation is described. It performs the decimation of a 1bit code at 1024KHz of double integration Sigma Delta modulation output to PCM at 16KHz. This architecture is designed in such a way that it needs only a simple control structure suitable for VLSI implementation. We devised an algorithm for generating the coefficients of the filter with a minimum of required hardware. It does not require storing the coefficients in a ROM and continuously reading it to calculate the convolution. The accumulators needed to perform the direct convolution are arranged in a way that simplifies and minimizes the hardware required for the filter implementation. The filter response is Sinc3(f) which provides sufficient attenuation for modulation generated by means of double integration. The implementation of this filter requires the generation of the coefficients and the performance of the convolution. Three coefficients are needed with every input to obtain the output sequence. The major feature of this architecture is the use of an efficient algorithm to obtain the coefficients thereby reducing the area and power consumption. It is very suitable for VLSI implementation in CMOS technology.

These twenty lectures have been developed and refined by Professor Siebert during the more than two decades he has been teaching introductory Signals and Systems courses at MIT. The lectures are designed to pursue a variety of goals in parallel: to familiarize students with the properties of a fundamental set of analytical tools; to show how these tools can be applied to help understand many important concepts and devices in modern communication and control engineering practice; to explore some of the mathematical issues behind the powers and limitations of these tools; and to begin the development of the vocabulary and grammar, common images and metaphors, of a general language of signal and system theory.Although broadly organized as a series of lectures, many more topics and examples (as well as a large set of unusual problems and laboratory exercises) are included in the book than would be presented orally. Extensive use is made throughout of knowledge acquired in early courses in elementary electrical and electronic circuits and differential equations.Contents: Review of the "classical" formulation and solution of dynamic equations for simple electrical circuits; The unilateral Laplace transform and its applications; System functions; Poles and zeros; Interconnected systems and feedback; The dynamics of feedback systems; Discretetime signals and linear difference equations; The unilateral Ztransform and its applications; The unitsample response and discretetime convolution; Convolutional representations of continuoustime systems; Impulses and the superposition integral; Frequencydomain methods for general LTI systems; Fourier series; Fourier transforms and Fourier's theorem; Sampling in time and frequency; Filters, real and ideal; Duration, risetime and bandwidth relationships: The uncertainty principle; Bandpass operations and analog communication systems; Fourier transforms in discretetime systems; Random Signals; Modern communication systems.William Siebert is Ford Professor of Engineering at MIT. Circuits, Signals, and Systems is included in The MIT Press Series in Electrical Engineering and Computer Science, copublished with McGrawHill.

The Chirp zTransform Algorithm
A computational algorithm for numerically evaluating the ztransform of a sequence of N samples is discussed . This algorithm has been named the chirp ztransform (CZT) algorithm . Using the CZT algorithm one can efficiently evaluate the ztransform at M points in the zplane which lie on circular or spiral contours beginning at any arbitrary point in the zplane. The angular spacing of the points is an arbitrary constant, and M and N are arbitrary integers. The algorithm is based on the fact that the values of the ztransform on a circular or spiral contour can be expressed as a discrete convolution. Thus one can use wellknown highspeed convolution teehniques to evaluate the transform efficiently. For M and N moderately large, the computation time is roughly proportional to (N + M) log2(N + M) as opposed to being proportional to (N ⋅ M) for direct evaluation of the ztransform at M points.

Appendix A: Convolution Properties
This chapter contains sections titled: Identity Commutativity Associativity Distributivity Circularity

Linear TimeInvariant (LTI) Systems
This chapter contains sections titled: Linear Systems Linear TimeInvariant (LTI) Systems The Convolution Integral The UnitImpulse Sifting Property Convolution This chapter contains sections titled: Problems

Elements of Risk Evaluation Methods
System risk evaluation is used to assess the overall risk in a system due to individual component failures and their combinations. This chapter reviews the most important concepts and general techniques that can be and have been used in power system risk assessment. After a brief introduction, five fundamental methods are briefly discussed: probability convolution, series and parallel networks, minimum cutsets, Markov equations, and frequencyduration approaches. These methods can be directly applied to simple cases in power system risk evaluation. Two primary methods are presented for the risk assessment of largescale/complex systems: state enumeration method and Monte Carlo simulation method (both sequential and nonsequential types). The correlation between random variables is an important concept in risk evaluation of power systems, particularly for those with renewable sources. In the final section of the chapter, methods of modeling correlation are illustrated.

This chapter contains sections titled: Tandem Connection of LTI Systems A Consequence of the Commutative Property The Unit Impulse Revisited Convolution Revisited Causality Stability System Continuity The Potential Integral This chapter contains sections titled: Problems

Major 5G Waveform Candidates: Overview and Comparison
The 5G mobile communication system is now being intensively prepared. This chapter presents the major multicarrier modulation (MCM) candidates for 5G and their categorization. It devotes to highlevel comparisons of these candidate algorithms in terms of performance, efficiency, complexity, compatibility and integration. The chapter discusses the waveform proposals by separating them into three groups: subcarrier filtered MCM using linear convolution, subcarrier filtered MCM using circular convolution, and subband windowed MCM. Orthogonal frequency division multiplex (OFDM) is the simplest MCM system, and is widely adopted in many applications. To improve the spectrum localization, a subcarrier filtering is used on the top of OFDM basis, leading to some advanced MCM schemes, such as filter bank multicarrier (FBMC)/offset QAM (OQAM) and filtered multitone (FMT). The CBFMT scheme adopts circular filtering on the top of traditional FMT modulation. The chapter discusses the future work on the design and implementation of MCM schemes for 5G standardization and deployment.

Turning OverlapSave into a Multiband, Mixing, Downsampling Filter Bank
This chapter contains sections titled: Something Old and Something New Review of Fast Convolution Choosing FFT Size: Complexity is Related to Filter Length and Overlap Factor Filtering Multiple Channels: Reuse the Forward FFT Frequency Domain Downsampling: Aliasing is Your Friend Mixing and OS Filtering: Rotate the Frequency Domain for Coarse Mixing Putting it All Together Food for Thought Conclusions References Editor Comments