Interpolation

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In the mathematical field of numerical analysis, interpolation is a method of constructing new data points within the range of a discrete set of known data points. (Wikipedia.org)






Conferences related to Interpolation

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2013 Computing in Cardiology Conference (CinC)

Provide a forum for scientists and professionals from the fields of medicine, physics, engineering and computer science to discuss their current research in topics pertaining to computing in clinical cardiology and cardiovascular physiology.

  • 2012 Computing in Cardiology Conference (CinC)

    Provide a forum for scientists and professionals from the fields of medicine, physics, engineering and computer science to discuss their current research in topics pertaining to computing in clinical cardiology and cardiovascular physiology.

  • 2011 Computing in Cardiology Conference (CinC)

    Provides a forum for scientists and professionals from the fields of medicine, physics, engineering and computer science to discuss their current research in topics pertaining to computing in clinical cardiology and cardiovascular physiology.

  • 2010 Computing in Cardiology (CinC)

    Computing in Cardiology (formerly Computers in Cardiology) is one of the premier events focusing on computer applications in clinical cardiology and cardiovascular research. The conference fosters interdisciplinary discussions and collaboration among physicians, engineers, physicists, biologists, computer scientists and others in research and development in Cardiology.

  • 2009 36th Annual Computers in Cardiology Conference (CinC)

    The Computers in Cardiology conference provides an international forum for scientific presentations focusing on computer applications in clinical cardiology and cardiovascular research. The conference fosters interdisciplinary discussions and collaboration between physicians, engineers, physicists, biologists, computer scientists and others engaged in research in this area.


2012 54th International Symposium ELMAR

Image and Video Processing; Multimedia Communications; Speech and Audio Processing; Wireless Commununications; Telecommunications; Antennas and Propagation; e-Learning and m-Learning; Navigation Systems; Ship Electronic Systems; Power Electronics and Automation; Naval Architecture; Sea Ecology.

  • 2011 53rd International Symposium ELMAR

    Image and Video Processing; Multimedia Communications; Speech and Audio Processing; Wireless Commununications; Telecommunications; Antennas and Propagation; e-Learning and m-Learning; Navigation Systems; Ship Electronic Systems; Power Electronics and Automation; Naval Architecture; Sea Ecology

  • 2010 52nd International Symposium ELMAR

    Image and Video Processing; Multimedia Communications; Speech and Audio Processing; Wireless Commununications; Telecommunications; Antennas and Propagation; e -Learning and m-Learning; Navigation Systems; Ship Electronic Systems; Power Electronics and Automation; Naval Architecture; Sea Ecology


2011 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2011)

The scope of the conference includes, but not limited to AI, Artificial Life and Artificial Immune Systems, Cloud Computing, Computer Vision, Data Mining, Fuzzy System, Genetic Algorithms, Information Retrieval, Intelligent Control, Robotics, Machine Learning, Machine Translation, Neural Networks, Rough Set, Systems Biology, Video & Image Processing

  • 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2010)

    AI, Artificial Life and Artificial Immune Systems, Cloud Computing, Computer Vision, Data Mining, Fuzzy System, Genetic Algorithms, Information Retrieval, Intelligent Control, Robotics, Machine Learning, Machine Translation, Neural Networks, Rough Set, Systems Biology, Video & Image Processing, etc.

  • 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2009)

    The scope of the conference includes, but not limited to AI, Artificial Life and Artificial Immune Systems, Cloud Computing, Computer Vision, Data Mining, Fuzzy System, Genetic Algorithms, Information Retrieval, Intelligent Control, Robotics, Machine Learning, Machine Translation, Neural Networks, Rough Set, Systems Biology, Video & Image Processing, etc.


2010 6th International Conference on Wireless and Mobile Communications (ICWMC)

The Sixth International Conference on Wireless and Mobile Communications (ICWMC 2010) in Spain follows on the previous events on advanced wireless technologies, wireless networking, and wireless applications.


2010 International Conference on Electrical and Control Engineering (ICECE)

recent advances, new techniques and applications in the field of Electrical Engineering and Automation Control.


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Periodicals related to Interpolation

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Fuzzy Systems, IEEE Transactions on

Theory and application of fuzzy systems with emphasis on engineering systems and scientific applications. (6) (IEEE Guide for Authors) Representative applications areas include:fuzzy estimation, prediction and control; approximate reasoning; intelligent systems design; machine learning; image processing and machine vision;pattern recognition, fuzzy neurocomputing; electronic and photonic implementation; medical computing applications; robotics and motion control; constraint propagation and optimization; civil, chemical and ...


Image Processing, IEEE Transactions on

Signal-processing 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 half-toning 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/micro-architectures, software, detailed design, synchronization, interaction, joint processing and coordination of multimedia and multimodal signals/data, compression, storage, retrieval, communication, ...


Signal Processing, IEEE Transactions on

The technology of transmission, recording, reproduction, processing, and measurement of speech; other audio-frequency waves and other signals by digital, electronic, electrical, acoustic, mechanical, and optical means; the components and systems to accomplish these and related aims; and the environmental, psychological, and physiological factors of thesetechnologies.


Very Large Scale Integration (VLSI) Systems, IEEE Transactions on

Integrated circuits and systems;VLSI based Architecture and applications; highspeed circuits and interconnect; mixed-signal SoC; speed/area/power/noise tradeoffs in CMOS circuits.




Xplore Articles related to Interpolation

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Improving realism of 3D texture using component based modeling

Siddharth Kherada; Prateek Pandey; Anoop M. Namboodiri 2012 IEEE Workshop on the Applications of Computer Vision (WACV), 2012

3D textures are often described by parametric functions for each pixel, that models the variation in its appearance with respect to varying lighting direction. However, parametric models such as Polynomial Texture Maps (PTMs) tend to smoothen the changes in appearance. We propose a technique to effectively model natural material surfaces and their interactions with changing light conditions. We show that ...


Dynamic control of a production model [speech]

L. Candille; H. Meloni Spoken Language, 1996. ICSLP 96. Proceedings., Fourth International Conference on, 1996

A number of experiments have shown that it is possible to use production models for speech recognition tasks. We present the results of an adaptation of S. Maeda's (1979) statistical model. We have also demonstrated the importance of taking into account the static and dynamic characteristics of the speaker. Some preliminary results for the identification of V1-V2 (i.e. vowel diphone) ...


Acoustic modeling using transform-based phone-cluster adaptive training

Vimal Manohar; Ch. Bhargav Srinivas; S. Umesh 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

In this paper, we propose a new acoustic modeling technique called the Phone- Cluster Adaptive Training. In this approach, the parameters of context- dependent states are obtained by the linear interpolation of several monophone cluster models, which are themselves obtained by adaptation using linear transformation of a canonical Gaussian Mixture Model (GMM). This approach is inspired from the Cluster Adaptive ...


Choice of effective fitness functions for genetic algorithm-aided dynamic fuzzy rule interpolation

Nitin Naik; Ren Diao; Qiang Shen 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2015

Fuzzy rule interpolation (FRI) has been a vital reasoning tool for sparse fuzzy rule-based systems. Throughout interpolative reasoning, an FRI system may produce a large number of interpolated rules, which generally serve no further purpose once the required outcomes have been obtained. However, this abandoned pool of interpolated rules can be used to improve the existing sparse rule base, because ...


Few-view tomography using interpolating and smoothing splines with implications for cardiac SPECT

P. J. La Riviere; X. Pan 1998 IEEE Nuclear Science Symposium Conference Record. 1998 IEEE Nuclear Science Symposium and Medical Imaging Conference (Cat. No.98CH36255), 1998

The ability to reconstruct high-quality tomographic images from a smaller number of projections than is usually used could reduce imaging time for many nuclear-medicine studies. This would particularly benefit studies such as cardiac SPECT where patient motion during long acquisitions can lead to motion artifacts in the reconstructed images. To this end, the authors have investigated sinogram pre-processing techniques designed ...


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Educational Resources on Interpolation

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eLearning

Improving realism of 3D texture using component based modeling

Siddharth Kherada; Prateek Pandey; Anoop M. Namboodiri 2012 IEEE Workshop on the Applications of Computer Vision (WACV), 2012

3D textures are often described by parametric functions for each pixel, that models the variation in its appearance with respect to varying lighting direction. However, parametric models such as Polynomial Texture Maps (PTMs) tend to smoothen the changes in appearance. We propose a technique to effectively model natural material surfaces and their interactions with changing light conditions. We show that ...


Dynamic control of a production model [speech]

L. Candille; H. Meloni Spoken Language, 1996. ICSLP 96. Proceedings., Fourth International Conference on, 1996

A number of experiments have shown that it is possible to use production models for speech recognition tasks. We present the results of an adaptation of S. Maeda's (1979) statistical model. We have also demonstrated the importance of taking into account the static and dynamic characteristics of the speaker. Some preliminary results for the identification of V1-V2 (i.e. vowel diphone) ...


Acoustic modeling using transform-based phone-cluster adaptive training

Vimal Manohar; Ch. Bhargav Srinivas; S. Umesh 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

In this paper, we propose a new acoustic modeling technique called the Phone- Cluster Adaptive Training. In this approach, the parameters of context- dependent states are obtained by the linear interpolation of several monophone cluster models, which are themselves obtained by adaptation using linear transformation of a canonical Gaussian Mixture Model (GMM). This approach is inspired from the Cluster Adaptive ...


Choice of effective fitness functions for genetic algorithm-aided dynamic fuzzy rule interpolation

Nitin Naik; Ren Diao; Qiang Shen 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2015

Fuzzy rule interpolation (FRI) has been a vital reasoning tool for sparse fuzzy rule-based systems. Throughout interpolative reasoning, an FRI system may produce a large number of interpolated rules, which generally serve no further purpose once the required outcomes have been obtained. However, this abandoned pool of interpolated rules can be used to improve the existing sparse rule base, because ...


Few-view tomography using interpolating and smoothing splines with implications for cardiac SPECT

P. J. La Riviere; X. Pan 1998 IEEE Nuclear Science Symposium Conference Record. 1998 IEEE Nuclear Science Symposium and Medical Imaging Conference (Cat. No.98CH36255), 1998

The ability to reconstruct high-quality tomographic images from a smaller number of projections than is usually used could reduce imaging time for many nuclear-medicine studies. This would particularly benefit studies such as cardiac SPECT where patient motion during long acquisitions can lead to motion artifacts in the reconstructed images. To this end, the authors have investigated sinogram pre-processing techniques designed ...


More eLearning Resources

IEEE-USA E-Books

  • Nine Digital Filters for Decimation and Interpolation

    Filtering is necessary in decimation (decreasing the sampling rate of) or interpolation (increasing the sampling rate of) a digital signal. If the rate change is substantial, the process is mote efficient when the decimation or interpolation occurs in stages rather than in one step. Half-band filters are particularly efficient for effecting octave changes in sampling rate and nine digital filters are presented, eight of them half-band filters, to be used as components of multistage interpolators and decimators. Also presented is a procedure for combining the filters to produce multistage designs that meet a very wide range of accuracy requirements (stopband attenuation to 77 dB, passband ripple as low as 0.00014). The nine filters admit changes between sampling rates above 4 _W_, where _W_ is the nominal bandwidth of the signal. Established design techniques may be used to obtain efficient filters for conversion between 4_W_ Hz sampling and 2_W_ Hz, the ?>baseband sampling rate.?> With these multistage filters, the possible interpolation and decimation ratios are all integer multiples of powers of two. To overcome this restriction we present a simple resampling technique that extends the range of designs to conversions between any two rates. The interpolation or decimation ratio need not be an integer or even rational. In fact, it can vary slightly as in a practical situation where the input signal and output signal are under the control of autonomous clocks. We demonstrate the approach by means of several design examples and compare its results with those obtained from the optimization scheme of Crochiere and Rabiner.

  • Aspects of Numerical Analysis

    This chapter contains sections titled: Interpolation and approximation Solution of equations Matrices Linear equations Generalized inverse

  • Name Index

    The projection of light rays onto the retina of the eye forms a two- dimensional image, but through combining the stereoscopic aspect of vision with other optical clues by means of some remarkably effective image- processing procedures, the viewer is able to perceive three-dimensional representations of scenes.From Images to Surfaces proposes and examines a specific image-processing procedure to account for this remarkable effect-a computational approach that provides a framework for understanding the transformation of a set of images into a representation of the shapes of surfaces visible in a scene. Although much of the analysis is applicable to any visual information processing system-biological or artificial-Grimson constrains his final choice of computational algorithms to those that are biologically feasible and consistent with what is known about the human visual system.In order to clarify the analysis, the approach distinguishes three independent levels: the computational theory itself, the algorithms employed, and the underlying implementation of the computation, in this case through the human neural mechanisms. This separation into levels facilitates the generation of specific models from general concepts.This research effort had its origin in a theory of human stereo vision recently developed by David Marr and Tomaso Poggio. Grimson presents a computer implementation of this theory that serves to test its adequacy and provide feedback for the identification of unsuspected problems embedded in it. The author then proceeds to apply and extend the theory in his analysis of surface interpolation through the computational methodology.This methodology allows the activity of the human early visual system to be followed through several stages: the Primal Sketch, in whi ch intensity changes at isolated points on a surface are noted; the Raw 2.5-D Sketch, in which surface values at these points are computed; and the Full 2.5-D Sketch, in which these values--ncluding stereo and motion perception--are interpolated over the entire surface. These stages lead to the final 3-D Model, in which the three-dimensional shapes of objects, in object- centered coordinates, are made explicit.

  • Digital Communications by Satellite

    This chapter contains sections titled: Introduction Digital Operations of a Bent-Pipe Satellite System Digital Speech Interpolation INTELSAT TDMA/DSI System Processing Satellites Performance Considerations for Digital Satellite Communications Link Budgets for Digital Satellites

  • Numerical Differentiation and Integration

    This chapter gives introduction to numerical differentiation by means of an expansion into a Taylor series and interpolation polynomials, and numerical integration. The numerical integration formulas include the Newton-CÿTes quadrature formulae, the trapezoid formula, Simpson's formula, Euler's and Gregory's formulae, Romberg's formula, and Chebyshev's quadrature formulae. In addition, the chapter considers quadrature formulae of Gauss type obtained by orthogonal polynomials, calculation of improper integrals, Kantorovich's method, and the Monte Carlo method for calculation of definite integrals. These are followed by applications.

  • No title

    Query reformulation refers to a process of translating a source query--a request for information in some high-level logic-based language--into a target plan that abides by certain interface restrictions. Many practical problems in data management can be seen as instances of the reformulation problem. For example, the problem of translating an SQL query written over a set of base tables into another query written over a set of views; the problem of implementing a query via translating to a program calling a set of database APIs; the problem of implementing a query using a collection of web services. In this book we approach query reformulation in a very general setting that encompasses all the problems above, by relating it to a line of research within mathematical logic. For many decades logicians have looked at the problem of converting "implicit definitions" into "explicit definitions," using an approach known as interpolation. We will review the theory of interpolatio , and explain its close connection with query reformulation. We will give a detailed look at how the interpolation-based approach is used to generate translations between logic-based queries over different vocabularies, and also how it can be used to go from logic-based queries to programs.

  • Using Triangularly Weighted Interpolation to Get 13Bit PCM from a SigmaDelta

    We present and analyze a method of interpolation that improves the amplitude resolution of an analog-to-digital converter. The technique requires feedback around a quantizer that operates at high speed and digital accumulation of its quantized values to provide a PCM output. We show that use of appropriate weights in the accumulation has important advantages for providing finer resoution, less spectral distortion, and white quantization noise. The theoretical discussion is supplemented by the report of a practical converter designed especially to show up the strengths and weaknesses of the technique. This converter comprises a sigma-delta modulator operating at 8 MIIz and an accumulation of the 1-bit code with triangularly distributed weights. 13-bit resolution at 8 kwords/s is realized by periodically dumping the accumulation to the output. We present a practical method for overcoming a thresholding action that distorts low-amplitude input signals.

  • Subject Index

    The projection of light rays onto the retina of the eye forms a two- dimensional image, but through combining the stereoscopic aspect of vision with other optical clues by means of some remarkably effective image- processing procedures, the viewer is able to perceive three-dimensional representations of scenes.From Images to Surfaces proposes and examines a specific image-processing procedure to account for this remarkable effect-a computational approach that provides a framework for understanding the transformation of a set of images into a representation of the shapes of surfaces visible in a scene. Although much of the analysis is applicable to any visual information processing system-biological or artificial-Grimson constrains his final choice of computational algorithms to those that are biologically feasible and consistent with what is known about the human visual system.In order to clarify the analysis, the approach distinguishes three independent levels: the computational theory itself, the algorithms employed, and the underlying implementation of the computation, in this case through the human neural mechanisms. This separation into levels facilitates the generation of specific models from general concepts.This research effort had its origin in a theory of human stereo vision recently developed by David Marr and Tomaso Poggio. Grimson presents a computer implementation of this theory that serves to test its adequacy and provide feedback for the identification of unsuspected problems embedded in it. The author then proceeds to apply and extend the theory in his analysis of surface interpolation through the computational methodology.This methodology allows the activity of the human early visual system to be followed through several stages: the Primal Sketch, in whi ch intensity changes at isolated points on a surface are noted; the Raw 2.5-D Sketch, in which surface values at these points are computed; and the Full 2.5-D Sketch, in which these values--ncluding stereo and motion perception--are interpolated over the entire surface. These stages lead to the final 3-D Model, in which the three-dimensional shapes of objects, in object- centered coordinates, are made explicit.

  • Machine Computation and the Working Demographer

    This chapter contains sections titled: Graduation, Matrix Expressions for Polynomial Graduation, Life Table Construction by Double Graduation, Interpolation by Evaluation of Determinants, Data Given as Areas Rather than Points, The Estimate of Interpolation Error, A Method for Improving the Life Table, Computing the Intrinsic Rate of Natural Increase, Translation from One Finite Approximation to Another, Stable Populations Changed from One Finite Approximation to Another, Summary

  • Learning Motion Style Synthesis from Perceptual Observations

    This paper presents an algorithm for synthesis of human motion in specified styles. We use a theory of movement observation (Laban Movement Analysis) to describe movement styles as points in a multi-dimensional perceptual space. We cast the task of learning to synthesize desired movement styles as a regression problem: sequences generated via space-time interpolation of motion capture data are used to learn a nonlinear mapping between animation parameters and movement styles in perceptual space. We demonstrate that the learned model can apply a variety of motion styles to pre-recorded motion sequences and it can extrapolate styles not originally included in the training data.



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