Conferences related to Spatial filters

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2023 Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.


2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting

The joint meeting is intended to provide an international forum for the exchange of information on state of the art research in the area of antennas and propagation, electromagnetic engineering and radio science


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2020 IEEE International Conference on Robotics and Automation (ICRA)

The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.


2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.


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Periodicals related to Spatial filters

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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.


Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


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-- ...


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Most published Xplore authors for Spatial filters

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Xplore Articles related to Spatial filters

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On the possibilities of using a class of CNN's for texture classification

2011 20th European Conference on Circuit Theory and Design (ECCTD), 2011

The paper deals with the possibility of using the spatio-temporal dynamics of a class of CNN's for texture classification. The principle of the proposed architecture is discussed and the design of a bank of spatial filters for this kind of application is presented. Transistor level simulation and considerations regarding the architecture reconfiguration will be given as well.


Enhancing single-trial mental workload estimation through xDAWN spatial filtering

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER), 2015

Mental state monitoring is a topical issue in neuroengineering, more particularly for passive brain-computer interface (pBCI) applications. One of the mental states that are currently under focus is mental workload. The level of workload can be estimated from electroencephalographic activity (EEG) and markers derived from this signal. In active BCI applications, a well-known neurophysiological marker, the event-related potential (ERP), is ...


Influence of IF-filtering on bit error rate floor in coherent optical DPSK-systems

IEE Proceedings J - Optoelectronics, 1988

The authors investigate the influence of IF-filtering on the bit error rate floor in optical DPSK-systems; this influence is usually neglected. They show that the IF-filtering leads to a reduction of the error rate floor, so that the linewidth requirements are reduced by a factor of 0.68.<<ETX>>


Fast stereovision with subpixel-precision

Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), 1998

A fast stereo algorithm based on aliasing effects of simple disparity estimators within a coherence detection scheme is presented. The algorithm calculates dense disparity maps with subpixel-precision by performing local spatial filter operations and simple arithmetic transformations. Performance similar to classical area-based approaches is achieved, but without the complicated hierarchical search structure typical for these approaches. The algorithm is completely ...


Multiscale image decomposition using statistical pattern recognition and eigenanalysis

Proceedings of IEEE Symposium on Computer-Based Medical Systems (CBMS), 1994

Addresses the problem of segmentation in medical images using multiscale geometric statistical pattern recognition (MGSPR) and applies the method to three images. An artificial visual system (AVS) is proposed which uses multiscale Gaussians and their derivatives to define a feature set that captures the multiscale geometric structure of the image. There are three phases to our method based on MGSPR: ...


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Educational Resources on Spatial filters

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IEEE.tv Videos

IMS 2011 Microapps - Prediction of RF Breakdown in Combine Filters with FEST3D
Life Sciences: Surface Enhanced Raman Spectroscopy, and more
Spatial-Spectral Materials for High Performance Optical Processing - IEEE Rebooting Computing 2017
Lighting the Way: Optical Sensors in the Life Sciences
A 60GHz Packaged Switched Beam 32nm CMOS TRX with Broad Spatial Coverage, 17.1dBm Peak EIRP, 6.1dB NF at <250mW: RFIC Industry Showcase
IMS MicroApps: AWR's iFilter
A Bayesian Approach for Spatial Clustering - IEEE CIS Webinar
Imaging Human Brain Function with Simultaneous EEG-fMRI - IEEE Brain Workshop
A 30-MHz-to-3-GHz CMOS Array Receiver with Frequency and Spatial Interference Filtering for Adaptive Antenna Systems: RFIC Industry Showcase
Shanthi Pavan - SSCS Chip Chat Podcast, Episode 3
Zhun Fan - Mechatronic Design Automation Using Evolutionary Approaches
Brooklyn 5G Summit 2014: Jonas Medbo on 5G Channel Modeling Challenges
3D Printing for Sensor Platform Integration - Benjamin Ingis - IEEE EMBS at NIH, 2019
NDN Realization Using Bloom Filter Variants: Invited Speakers - HPSR 2020 Virtual Conference
A 10-40GHz Frequency Quadrupler Source with Switchable Bandpass Filters and >30dBc Harmonic Rejection: RFIC Interactive Forum 2017
Compressive Sensing Tutorial: A Game Changing Technology for Energy Efficient IoT Sensor Networks: WF-IoT 2016
DIY: Replacing the Water Grid With Rainwater
Q&A with Bill Tonti: IEEE Digital Reality Podcast, Episode 6
Brooklyn 5G - 2015 - Ali M. Niknejad - Going the Distance with CMOS: mm-Waves and Beyond
State-of-the art techniques for advanced vehicle dynamics control & vehicle state estimation

IEEE-USA E-Books

  • On the possibilities of using a class of CNN's for texture classification

    The paper deals with the possibility of using the spatio-temporal dynamics of a class of CNN's for texture classification. The principle of the proposed architecture is discussed and the design of a bank of spatial filters for this kind of application is presented. Transistor level simulation and considerations regarding the architecture reconfiguration will be given as well.

  • Enhancing single-trial mental workload estimation through xDAWN spatial filtering

    Mental state monitoring is a topical issue in neuroengineering, more particularly for passive brain-computer interface (pBCI) applications. One of the mental states that are currently under focus is mental workload. The level of workload can be estimated from electroencephalographic activity (EEG) and markers derived from this signal. In active BCI applications, a well-known neurophysiological marker, the event-related potential (ERP), is commonly enhanced using a spatial filtering step. In this study, we evaluated how a spatial filtering method such as the xDAWN algorithm could improve mental workload classification performance. Twenty participants performed a Sternberg memory task for 18 minutes with pseudorandomized trials of low vs. high workload (2/6 digits to memorize). Three signal processing chains were compared on their performance to estimate mental workload from the single- trial ERPs of the test item (i.e. present/absent in the memorized list). All 3 included an FLDA classifier with a shrinkage covariance estimation and a 10-fold cross-validation. One chain used the ERPs of a relevant electrode for workload estimation (Cz) and the 2 others used the ERPs of the 32 electrodes and an xDAWN spatial filtering step with either 1 or 2 virtual electrodes kept for classification. Statistical analyses revealed that spatial filtering significantly improved mental workload estimation, with up to 98% of correct classification using the xDAWN algorithm and 2 virtual electrodes.

  • Influence of IF-filtering on bit error rate floor in coherent optical DPSK-systems

    The authors investigate the influence of IF-filtering on the bit error rate floor in optical DPSK-systems; this influence is usually neglected. They show that the IF-filtering leads to a reduction of the error rate floor, so that the linewidth requirements are reduced by a factor of 0.68.<<ETX>>

  • Fast stereovision with subpixel-precision

    A fast stereo algorithm based on aliasing effects of simple disparity estimators within a coherence detection scheme is presented. The algorithm calculates dense disparity maps with subpixel-precision by performing local spatial filter operations and simple arithmetic transformations. Performance similar to classical area-based approaches is achieved, but without the complicated hierarchical search structure typical for these approaches. The algorithm is completely parallel; the disparity valves are calculated independently for each pixel. In addition, local validation counts for the disparity estimates and a fused cyclopean view of the scene are available within the proposed network structure for coherence-based stereo.

  • Multiscale image decomposition using statistical pattern recognition and eigenanalysis

    Addresses the problem of segmentation in medical images using multiscale geometric statistical pattern recognition (MGSPR) and applies the method to three images. An artificial visual system (AVS) is proposed which uses multiscale Gaussians and their derivatives to define a feature set that captures the multiscale geometric structure of the image. There are three phases to our method based on MGSPR: training, segmentation and eigenanalysis. The training phase projects manually labeled pixels into a feature space by convolving the training pixels with a set of spatial filters. The distribution of each pixel class is modelled with a Gaussian. The segmentation phase classifies unlabeled pixels based on the models generated by the training phase. In the eigenanalysis phase, optimal filters that are linear combinations of the original filters are calculated. The segmentation procedure is applied to two simulated, but illustrative images, and one medical image of a nerve fiber.<<ETX>>

  • A Real-Time Hybrid Optical System for Pattern Recognition Applications

    A description of a coherent optical processor which utilizes matched spatial filters in order to do pattern recognition is presented. The processor has been interfaced to a PDP-11-40 computer which controls the input film drive, the filter stage stepper motors, digitizes, and stores data and is used for data analysis. On-line to the computer are various peripherals including: a DEC-writer, a storage scope, a plotter, and a display terminal. As an example of a pattern recognition problem, we discuss the application of the system to the identification of biological specimens.

  • SIGNAL AND ANATOMICAL CONSTRAINTS IN ADAPTIVE FILTERING OF FMRI DATA

    An adaptive filtering method for fMRI data is presented. The method is related to bilateral filtering, but with a range filter that takes into account local similarities in signal as well as in anatomy. Performance is demonstrated on simulated and real data. It is shown that using both these similarity constraints give better performance than if only one of them is used, and clearly better than standard low-pass filtering.

  • A filtered-transform scanning microscopic method for refractive-index profiling of optical waveguides and surface profiling

    A new filtered-transform scanning microscopic method that determines nondestructively the parameters that describes the index or surface profiles of optical waveguides is described. The profiling method makes use of the principle of obtaining amplitude and phase information from the intensity pattern of the reflected (or transmitted) beam from an object sample under focused coherent illumination by introducing a spatial filter in the Fourier plane of a microscopic imaging system. The profiling procedure is composed of two steps. In the first step a test pattern is scanned in the reflection mode as a calibration procedure. The test pattern will usually be taken from a steplike phase sample (e.g. metal strips) in which the thickness and widths of the steps have been independently determined. In the second step the test sample is scanned, and the parameters for the profile are determined.<<ETX>>

  • Single-trial ERP detecting for emotion recognition

    Emotion recognition, as an important part of human-computer interaction, has been extensively researched. Various studies have already verified the relationship between emotion and the event-related potentials (ERPs). In this paper, a new methodology for emotion recognition is investigated by detecting single-trial ERPs related to some specific level of emotions. First, a spatial filter is constructed to estimate the ERP components. Then the most discriminative spatial and temporal features of the entire ERP waveform are extracted with linear discriminant analysis. The performance of this method is tested by classifying the emotional valence on three levels, the extremely negative, the moderately negative and the neutral, with the support vector machine (SVM). The result shows that the proposed method is effective.

  • Extraction, analysis and interpretation of digital ionograms

    A digital ionogram is constructed from the impulse responses of sampled channels. If each sampled channel is processed in isolation, random channel noise is often interpreted as a true propagation mode. To overcome this problem, several adjacent channels can be processed together. The improvement of the impulse response and displayed ionogram by the application of median filters and low pass spatial filters is presented.<<ETX>>



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