IEEE Organizations related to Nonuniform Sampling

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Conferences related to Nonuniform Sampling

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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.


2020 IEEE International Radar Conference (RADAR)

Everything to do with radar hardware, techniques, processing and systems.

  • 2019 International Radar Conference (RADAR)

    RADAR2019 is in the frame of the international relations set up between the IET, the IEEE, the CIE, the IEAust and the SEE. The conference will focus on new research and developments in the fields: Radar Systems (ground based, airborne, spaceborne), Radar Environment and Phenomenology, Electromagnetic Modeling Radar Component Technologies, Remote Sensing from Airborne or Spaceborne Systems, SAR & ISAR Imagery Waveform design, beamforming and signal processing Emerging, Radar Applications, Smart Visualization and Information processing, System Modeling, Simulation and Validation, Radar Management Techniques Automatic Classification. The conference will take place at Toulon Neptune Palais. Located on the French Riviera, Toulon is an important centre for naval construction and aeronautical equipment,hosting the major naval centre on France's Mediterranean coast, also home of the French Navy aircraft carrier Charles De Gaulle.

  • 2018 International Conference on Radar (RADAR)

    All aspects of radar systems for civil and defence applications.

  • 2017 International Radar Conference (Radar)

    radar environment and phenomenology, radar systems, remote sensing from airborne or spaceborne systems, waveform design, beamforming and signal processing, emerging technologies, advanced sub-systems technologies, computer modelling, simulation and validation, radar management techniques

  • 2016 CIE International Conference on Radar (RADAR)

    The 2016 CIE International Conference on Radar (Radar 2016) will be held in October 10-13 in Guangzhou, China. Radar 2016 is one of the international radar conference series which is held separately in USA, China, UK, Australia and France. It is the 7th International Radar Conference held in China. The conference topics of Radar 2016 will cover all aspects of radar system for civil or defense application.The professional theme of Radar 2016 is “Innovative thinking into the future”. It is our pleasure and honor to invite you to attend Radar 2016 conference. All accepted papers will be published in the conference proceedings We hope to meet you in Guangzhou, China.

  • 2014 International Radar Conference (Radar)

    Radar 2014 cover all aspects of radar systems for civil, security and defence application. Waveform design, beamforming, signal processing, Emerging applications and technologies, sub-systems technologies, Radar environment.

  • 2013 International Conference on Radar

    Radar 2013 cover all aspects of radar systems for civil, security and defence application. Waveform design, beamforming, signal processing, Emerging applications and technologies, sub-systems technologies, Radar environment.

  • 2012 International Radar Conference (Radar)

    Radar Environment/Phenomenology, Radar Systems, Remote Sensing from Airborne/Spaceborne Systems, Waveform Design, Beamforming/Signal Processing, Emerging Applications, Advanced Sub-Systems, Computer Modelling, Simulation/Validation.

  • 2011 IEEE CIE International Conference on Radar (Radar)

    This series of successfully organized international conference on radar shows the very fruitful cooperation between IEEE AESS, IET/UK, SEE/France, EA/Australia CIE/China, and the academy societies of other countries , such as Germany, Russia, Japan, Korea and Poland. Radar 2011 is a forum of radar engineers and scientists from all over the world. The conference topics of Radar 2011 will cover all aspects of radar system for civil and defense applications.

  • 2009 International Radar Conference Radar "Surveillance for a Safer World" (RADAR 2009)

    The conference will focus on new research and developments in the field of radar techniques for both military and civil applications. Topics to be covered at Radar 2009 include: Radar Environment and Phenomenology Radar Systems Remote Sensing from Airborne or Spaceborne Systems Waveform Design, Beamforming and Signal Processing Emerging Radar Applications Emerging Technologies Advanced Sub-Systems Technologies Computer Modeling, Simulation and V

  • 2008 International Conference on Radar (Radar 2008)

    All aspects of radar systems for civil, security and defence applications. Themes include: Radar in the marine environment, Radar systems, Multistatic and netted radars, Radar subsystems, Radar techniques, processing and displays, Modelling and simulation of radar environments, Electronic attack, Electronic protection, Test and Evaluation

  • 2003 IEEE International Radar Conference


2020 IEEE International Symposium on Circuits and Systems (ISCAS)

The International Symposium on Circuits and Systems (ISCAS) is the flagship conference of the IEEE Circuits and Systems (CAS) Society and the world’s premier networking and exchange forum for researchers in the highly active fields of theory, design and implementation of circuits and systems. ISCAS2020 focuses on the deployment of CASS knowledge towards Society Grand Challenges and highlights the strong foundation in methodology and the integration of multidisciplinary approaches which are the distinctive features of CAS contributions. The worldwide CAS community is exploiting such CASS knowledge to change the way in which devices and circuits are understood, optimized, and leveraged in a variety of systems and applications.


2020 IEEE International Symposium on Information Theory (ISIT)

Information theory, coding theory, communication theory, signal processing, and foundations of machine learning


2020 Optical Fiber Communications Conference and Exhibition (OFC)

The Optical Fiber Communication Conference and Exhibition (OFC) is the largest global conference and exhibition for optical communications and networking professionals. For over 40 years, OFC has drawn attendees from all corners of the globe to meet and greet, teach and learn, make connections and move business forward.OFC attracts the biggest names in the field, offers key networking and partnering opportunities, and provides insights and inspiration on the major trends and technology advances affecting the industry. From technical presentations to the latest market trends and predictions, OFC is a one-stop-shop.


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Periodicals related to Nonuniform Sampling

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Most published Xplore authors for Nonuniform Sampling

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Xplore Articles related to Nonuniform Sampling

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Correction to "Noise amplification of periodic nonuniform sampling"

IEEE Transactions on Signal Processing, 2000

None


Lowpass/bandpass signal reconstruction and digital filtering from nonuniform samples

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015

This paper considers the problem of non uniform sampling in the case of finite energy functions and random processes, not necessarily approaching to zero as time goes to infinity. The proposed method allows to perform exact signal reconstruction, spectral estimation or linear filtering directly from the non- uniform samples. The method can be applied to either lowpass, or bandpass signals.


Oversampling in wavelet subspaces

Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380), 1998

Recently, several extensions of classical Shannon sampling theory to wavelet subspaces have been reported. This paper is devoted to uniform and periodic nonuniform oversampling in wavelet subspaces. Specifically, we provide a stability analysis and we introduce a technique for calculating the condition number of wavelet subspace sampling operators. It is shown that oversampling results in improved numerical stability. We consider ...


Signal recovery from nonuniform samples and spectral analysis on random nonuniform samples

ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing, 1986

The power spectrum of a signal derived by random nonuniform sampling of an analog signal (random or deterministic) is analyzed in terms of the power spectrum of the analog signal. It is shown that the spectrum consists of the original signal with a background white noise. The same analysis holds for uniform samples with time jitter and PAM with some ...


Alias-Free Periodic Signal Analysis using Efficient Rate Nonuniform Sampling Sets

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007

In many applications such as signal integrity checking of hardware prototypes or determining dynamic behavior of wideband amplifiers etc. analysis of periodic radio signals with high accuracy is desired. The straight forward approach is to sample the signal to be analyzed with twice its highest harmonic content. But as fundamental frequencies are often far into the MHz range its harmonics ...


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Educational Resources on Nonuniform Sampling

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IEEE-USA E-Books

  • Correction to "Noise amplification of periodic nonuniform sampling"

    None

  • Lowpass/bandpass signal reconstruction and digital filtering from nonuniform samples

    This paper considers the problem of non uniform sampling in the case of finite energy functions and random processes, not necessarily approaching to zero as time goes to infinity. The proposed method allows to perform exact signal reconstruction, spectral estimation or linear filtering directly from the non- uniform samples. The method can be applied to either lowpass, or bandpass signals.

  • Oversampling in wavelet subspaces

    Recently, several extensions of classical Shannon sampling theory to wavelet subspaces have been reported. This paper is devoted to uniform and periodic nonuniform oversampling in wavelet subspaces. Specifically, we provide a stability analysis and we introduce a technique for calculating the condition number of wavelet subspace sampling operators. It is shown that oversampling results in improved numerical stability. We consider the reconstruction from noisy samples and we characterize compactly supported scaling functions having compactly supported synthesis functions. Finally, it is shown that in the oversampled case the synthesis functions are not uniquely determined.

  • Signal recovery from nonuniform samples and spectral analysis on random nonuniform samples

    The power spectrum of a signal derived by random nonuniform sampling of an analog signal (random or deterministic) is analyzed in terms of the power spectrum of the analog signal. It is shown that the spectrum consists of the original signal with a background white noise. The same analysis holds for uniform samples with time jitter and PAM with some missing samples. We show finally that the power spectrum of random pulse sequence is proportional to the power spectrum of the pulse.

  • Alias-Free Periodic Signal Analysis using Efficient Rate Nonuniform Sampling Sets

    In many applications such as signal integrity checking of hardware prototypes or determining dynamic behavior of wideband amplifiers etc. analysis of periodic radio signals with high accuracy is desired. The straight forward approach is to sample the signal to be analyzed with twice its highest harmonic content. But as fundamental frequencies are often far into the MHz range its harmonics may well span into the upper MHz or even GHz range. This leaves two possibilities: first, obey the sampling theorem and sample at that rate. But ADCs able to sample in the GHz range are expensive, power hungry and offer 6 to 8 bits maximum. Sometimes, this is not an option at all. Second, try to live with under sampling accepting alias frequencies in baseband. As long as aliased harmonics do not overlap this presents an acceptable solution. If they overlap, however, nothing can be done once the signal is sampled. But there is one more option presented in this paper, namely the possibility of deliberate nonuniform sampling. If the sampling set is chosen in a convenient way, mostly offered by an additive random sampling (ARS) scheme, this opens up promising possibilities to extend the alias-free processing range into the far MHz or even GHz region.

  • Band edges pairing for minimum rate sampling

    None

  • Nonuniform sampling driver design for optimal ADC utilization

    Deliberate nonuniform sampling promises increased equivalent sampling rates with reduced overall hardware costs of the DSP system. The equivalent sampling rate is the sampling rate that a uniform sampling device would require in order to achieve the same processing bandwidth. Equivalent bandwidths of realizable systems may well extend into the GHz range while the mean sampling rate stays in the MHz range. Current prototype systems (IECS) have an equivalent bandwidth of 1.6 GHz at a mean sampling rate of 80 MHz, achieving 40 times the bandwidth of a classic DSP system that would operate uniformly at 80 MHz. Throughout the literature on nonuniform sampling, different sampling schemes have been investigated. This paper focuses on nonuniform sampling schemes optimized for fast and efficient hardware implementation. To our knowledge, this is the first proposal of an efficient nonuniform sampling driver (SD) design in the open literature.

  • A new technique for accurate image registration of monomodality images

    This paper presents a new technique, used to register two images of the same modality and that are assumed to be differ from each other, by a rotation and a scale. Recently, researchers have introduced image registration techniques using log-polar transform for its scale and rotation invariant properties. However, it suffers from non-uniform sampling and it leads to inaccurate registration. Inspired by log polar transform, a new technique, fast uniform polar transform (FUPT) is used to overcome these disadvantages. The proposed method yields more accurate registration by finding the scale and rotation parameters directly without using optimization technique.

  • Visual Perceptual Learning

    Perceptual learning should be considered as an active process that embeds particular abstraction, reformulation and approximation within the Abstraction framework. The active process refers to the fact that the search for a correct data representation is perfonned through several steps. A key point is that perceptual learning focuses on low-level abstraction mechanism instead of trying to rely on more complex algorithm. In fact, from the machine learing viewpoint, Perceptual learning can be seen as a particular abstraction that may help to simplify complex problem thanks to a computable representation. Indeed, the baseline of Abstraction, i.e. choosing the relevant data to ease the learning task, is that many problems in machine learning cannot be solve because of the complexity of the representation and is not related to the learning algorithm, which is referred to as the phase transition problem. Within the Abstraction framework, we use the term perceptual learning to refer to specific learning task that rely on iterative representation changes and that deals with real-world data which human can perceive. In this talk we focus on sparse coding theory and granular computing model for visual perceptual learning. We propose an attention-guided sparse coding model. This model includes two modules: nonuniform sampling module simulating the process of retina and data-driven attention module based on the response saliency. Based on tolerance relation we construct a more uniform granulation model, which is established on both consecutive space and discrete attribute space.

  • Transmission of effective pseudopower in multirate signal processing

    The problem of the transmission of effective pseudopower in the multirate systems with pseudolossless filters, i.e. with wave digital filters (WDFs) and/or voltage-inverter-switch switched capacitor (VIS-SC) filters, is considered. The notion of multirate signal processing is generalized to the process of product modulation and filtering. The motion of integer L-band signals is introduced, and the classical Shannon sampling theorem is generalized. The phenomenon of effective pseudoenergy losses in multirate systems with classical pseudolossless WDFs and/or VIS-SC filters is investigated, and the recovery problem is formulated. It is concluded that in order to solve this recovery problem, new WDF and VIS-SC filter structures are necessary.<>



Standards related to Nonuniform Sampling

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Jobs related to Nonuniform Sampling

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