Conferences related to Discrete Fourier Transform

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2018 22nd International Microwave and Radar Conference (MIKON)

Antenna Design, Modeling & MeasurementsMicrowave Devices, Circuits & ComponentsMillimeter-wave & Terahertz TechnologyMicrowave Photonics, Circuits & SystemsRF, VHF & UHF TechnologyEM Field Theory & Numerical TechniquesMicrowave MeasurementsIndustrial, Scientific and Medical ApplicationsWireless Technology & ApplicationsElectromagnetic CompatibilitySpace & Satellite SystemsRadar TechnologyRadar Systems & ApplicationsRadar Signal ProcessingTracking & Data FusionRadar Imaging & Remote SensingNoise, MIMO & UWB RadarsMultistatic & Passive Radar Systems


2018 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)

The conference will deal will all aspects of power electronics, motor drives and Power electronics applications to energy systems.


2018 International Conference on Communication information and Computing Technology (ICCICT)

Cloud Computing, Machine Learning, Artificial Intelligence, Information Security, Big data analysis, Cyber security, Internet-of-Things IOT,


2017 Eighth International Workshop on Signal Design and Its Applications in Communications (IWSDA)

The aim of the workshop is to foster fruitful interactions among signal designers, coding theorists, cryptographic researchers and communications practitioners from all over the world.


2017 17th International Conference on Control, Automation and Systems (ICCAS)

Control Theory and Applications,Control Devices and Instruments,Industrial Applications of Control,Sensors and Signal Processing,Artificial Intelligent Systems,Autonomous Vehicle Systems, Navigation, Guidance and Control,Biomedical Instruments and Systems,Information and Networking,Multimedia Systems,Process Control Systems,Civil and Urban Control Systems Human Robot Interaction,Robot Mechanism and Control,Robot Vision,Exoskeletal Robot,Intelligent Robot and Service Robot,Robotic Applications


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Periodicals related to Discrete Fourier Transform

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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


Broadcasting, IEEE Transactions on

Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.


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.)


Communications, IEEE Transactions on

Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...


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Most published Xplore authors for Discrete Fourier Transform

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Xplore Articles related to Discrete Fourier Transform

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Non-Data-Aided Measurement of Noise Variance for OFDM System in Frequency-Selective Channels

Bin Sheng IEEE Transactions on Vehicular Technology, 2016

In this paper, we propose a non-data-aided (NDA) method to estimate the noise variance for orthogonal frequency division multiplexing (OFDM) system in frequency-selective channels. The proposed method is developed based on the signal correlation introduced by the use of the cyclic prefix (CP) and uses the difference between two discrete Fourier transform (DFT) outputs in the CP interval to estimate ...


FPGA implementation of a reconfigurable channelization for simultaneous multichannel DRM30/FM receiver

Xue Liu; Ze-Ke Wang; Qing-Xu Deng IEEE Transactions on Consumer Electronics, 2017

It is becoming more and more popular to support multiple radio broadcasting standards, such as Frequency Modulation (FM) and Digital Radio Mondiale for Amplitude Modulation (DRM30), on one channelization system for content and metadata indexing applications. However, existing works mainly focus on supporting only one standard, because different standards usually have different channel characteristics in term of bandwidth and carrier ...


Computationally efficient systolic architecture for computing the discrete Fourier transform

J. G. Nash IEEE Transactions on Signal Processing, 2005

A new high-performance systolic architecture for calculating the discrete Fourier transform (DFT) is described which is based on two levels of transform factorization. One level uses an index remapping that converts the direct transform into structured sets of arithmetically simple four-point transforms. Another level adds a row/column decomposition of the DFT. The architecture supports transform lengths that are not powers ...


View indepedent human movement recognition from multi-view video exploiting a circular invariant posture representation

Nikolaos Gkalelis; Nikos Nikolaidis; Ioannis Pitas 2009 IEEE International Conference on Multimedia and Expo, 2009

In this paper a novel method for view independent human movement representation and recognition, exploiting the rich information contained in multi-view videos, is proposed. The binary masks of a multi-view posture image are first vectorized, concatenated and the view correspondence problem between train and test samples is solved using the circular shift invariance property of the discrete Fourier transform (DFT) ...


Frequency estimation based on discrete Fourier transform and least squares

Zhang Gang-bing; Liu Yu; Xu Jia-jia; Hu Guo-bing 2009 International Conference on Wireless Communications & Signal Processing, 2009

A frequency estimation algorithm of sinusoidal signal was presented. It consists of a coarse frequency estimation followed by fine frequency estimation. Discrete Fourier transform (DFT) determines the coarse frequency estimation and least squares estimator (LSE) makes it possible to get the optimal frequency difference estimation. Subsequently, we derive the relationship between the asymptotic error variance (AEV) and the Cramer-Rao bound ...


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Educational Resources on Discrete Fourier Transform

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eLearning

Non-Data-Aided Measurement of Noise Variance for OFDM System in Frequency-Selective Channels

Bin Sheng IEEE Transactions on Vehicular Technology, 2016

In this paper, we propose a non-data-aided (NDA) method to estimate the noise variance for orthogonal frequency division multiplexing (OFDM) system in frequency-selective channels. The proposed method is developed based on the signal correlation introduced by the use of the cyclic prefix (CP) and uses the difference between two discrete Fourier transform (DFT) outputs in the CP interval to estimate ...


FPGA implementation of a reconfigurable channelization for simultaneous multichannel DRM30/FM receiver

Xue Liu; Ze-Ke Wang; Qing-Xu Deng IEEE Transactions on Consumer Electronics, 2017

It is becoming more and more popular to support multiple radio broadcasting standards, such as Frequency Modulation (FM) and Digital Radio Mondiale for Amplitude Modulation (DRM30), on one channelization system for content and metadata indexing applications. However, existing works mainly focus on supporting only one standard, because different standards usually have different channel characteristics in term of bandwidth and carrier ...


Computationally efficient systolic architecture for computing the discrete Fourier transform

J. G. Nash IEEE Transactions on Signal Processing, 2005

A new high-performance systolic architecture for calculating the discrete Fourier transform (DFT) is described which is based on two levels of transform factorization. One level uses an index remapping that converts the direct transform into structured sets of arithmetically simple four-point transforms. Another level adds a row/column decomposition of the DFT. The architecture supports transform lengths that are not powers ...


View indepedent human movement recognition from multi-view video exploiting a circular invariant posture representation

Nikolaos Gkalelis; Nikos Nikolaidis; Ioannis Pitas 2009 IEEE International Conference on Multimedia and Expo, 2009

In this paper a novel method for view independent human movement representation and recognition, exploiting the rich information contained in multi-view videos, is proposed. The binary masks of a multi-view posture image are first vectorized, concatenated and the view correspondence problem between train and test samples is solved using the circular shift invariance property of the discrete Fourier transform (DFT) ...


Frequency estimation based on discrete Fourier transform and least squares

Zhang Gang-bing; Liu Yu; Xu Jia-jia; Hu Guo-bing 2009 International Conference on Wireless Communications & Signal Processing, 2009

A frequency estimation algorithm of sinusoidal signal was presented. It consists of a coarse frequency estimation followed by fine frequency estimation. Discrete Fourier transform (DFT) determines the coarse frequency estimation and least squares estimator (LSE) makes it possible to get the optimal frequency difference estimation. Subsequently, we derive the relationship between the asymptotic error variance (AEV) and the Cramer-Rao bound ...


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IEEE-USA E-Books

  • Index

    You can immediately have the power to perform electromagnetic simulation. If you have a fundamental understanding of electromagnetic theory and the knowledge of at least one high-level computer language, you can begin writing simple electromagnetic simulation programs after reading the first chapter of this book. _Electromagnetic Simulation Using the FDTD Method_ describes the power and flexibility of the finite-difference time-domain method as a direct simulation of Maxwell's equations. The FDTD method takes advantage of today's advanced computing power because its computational requirements increase linearly with the size of the simulation problem. This book begins with a simple one-dimensional simulation and progresses to a three-dimensional simulation. Each chapter contains a concise explanation of an essential concept and instruction on its implementation into computer code. Projects that increase in complexity are included, ranging from simulations in free space t propagation in dispersive media. Peripheral topics that are pertinent to time-domain simulation, such as Z-transforms and the discrete Fourier transform, are also covered. _Electromagnetic Simulation Using the FDTD Method_ is written for anyone who would like to learn electromagnetic simulation using the finite-difference time-domain method. Appropriate as both a textbook and for self-study, this tutorial-style book will provide all the background you will need to begin research or other practical work in electromagnetic simulation.

  • 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.

  • Appendix B: Fourier Transform

    This chapter contains sections titled: Properties of the Fourier Transformation Spectrum of Example Time Domain Signals Transformation of Sampled Time Signals Short Time Fourier Transform of Continuous Signals Discrete Fourier Transform

  • SingleTone Parameter Estimation from DiscreteTime Observations

    Estimation of the parameters of a single-frequency complex tone from a finite number of noisy discrete-time observations is discussed. The appropriate Cram¿¿r-Rao bounds and maximum-likelihood (ML) estimation algorithms are derived. Some properties of the ML estimators are proved. The relationship of ML estimation to the discrete Fourier transform is exploited to obtain practical algorithms. The threshold effect of one algorithm is analyzed and compared to simulation results. Other simulation results verify other aspects of the analysis.

  • Some Probability and Stochastic Convergence Fundamentals

    This chapter contains sections titled: * Notations and Definitions * The Covariance Matrix of a Function of a Random Variable * Sample Variables * Mixing Random Variables * Preliminary Example * Definitions of Stochastic Limits * Interrelations between Stochastic Limits * Properties of Stochastic Limits * Laws of Large Numbers * Central Limit Theorems * Properties of Estimators * Cram¿¿r-Rao Lower Bound * How to Prove Asymptotic Properties of Estimators? * Pitfalls * Preliminary Example¿¿-¿¿Continued * Properties of the Noise after a Discrete Fourier Transform * Exercises * Appendixes

  • Analysis and Simulation of a Digital Mobile Channel Using Orthogonal Frequency Division Multiplexing

    This paper discusses the analysis and simulation of a technique for combating the effects of multipath propagation and cochannel interference on a narrow- band digital mobile channel. This system uses the discrete Fourier transform to orthogonally frequency multiplex many narrow subchannels, each signaling at a very low rate, into one high-rate channel. When this technique is used with pilot-based correction, the effects of flat Rayleigh fading can be reduced significantly. An improvement in signal-to-interference ratio of 6 dB can be obtained over the bursty Rayleigh channel. In addition, with each subchannel signaling at a low rate, this technique can provide added protection against delay spread. To enhance the behavior of the technique in a heavily frequency- selective environment, interpolated pilots are used. A frequency offset reference scheme is employed for the pilots to improve protection against cochannel interference.

  • Data Analysis

    This chapter presents data analysis techniques pertinent to various radio channels. The chapter first discusses the analysis of a single radio channel measurement to estimate the impulse response and the frequency response of the channel using basic spectral analysis techniques. It commences with the discrete Fourier transform (DFT) and the effect of the window functions on the estimated channel response. Then, the chapter addresses statistical analysis of time and space series. It defines and uses the RUNS test to determine the stationarity of a process. The last part of the chapter addresses high resolution parameter estimation techniques used in double directional analysis such as space‐alternating generalized expectation (SAGE), multiple signal classification (MUSIC) and estimation of signal parameters via the rational invariance technique (ESPRIT). This is followed by a discussion on the estimation of multiple input--multiple output (MIMO) channel capacity.

  • Signal Processing and Filtering Techniques

    This chapter contains sections titled: Linear Time‐Invariant Systems The Discrete Fourier Transform Short‐Time Fourier Transform Summary and Further Reading Principal Symbols

  • Frequency Domain Aspects of Electromagnetic Transient Analysis of Power Systems

    The electromagnetic transient (EMT) response of a power system can be determined either by time-domain (TD) or by frequency-domain (FD) methods. This chapter deals with those aspects of frequency domain analysis and of digital signal processing that have become essential for the analysis of transients in modern power systems. It provides a brief review of basic concepts of FD methods. Continuous-time Fourier analysis is introduced as an extension of phasor analysis which is more familiar to power engineers. The chapter presents the basic differences between continuous-time and discrete- time Fourier analysis. Of special interest in the chapter are: (1) the effect of aliasing, (2) the sampling theorem and (3) the principle of conservation of information. The chapter also provides a brief overview of multirate transient analysis methods based on the discrete Fourier transform (DFT) and the numerical Laplace transform (NLT).

  • Fourier Representations of Signals

    This chapter contains sections titled: * The Fourier Series * Cosine-only Expansion of Fourier Series * Fourier Series in Complex Exponentials * The Fourier Transform * Physical Meaning of Fourier Transform * Properties of the Fourier Transform * Fourier Transform Representations for Periodic Signals * The Discrete Fourier Transform * The Inverse Discrete Fourier Transform * Physical Meaning of the Discrete Fourier Transform This chapter contains sections titled: * Further Reading * Exercises



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