Conferences related to Fourier Transform

Back to Top

2018 15th International Workshop on Advanced Motion Control (AMC)

1. Advanced Motion Control2. Haptics, Robotics and Human-Machine Systems3. Micro/Nano Motion Control Systems4. Intelligent Motion Control Systems5. Nonlinear, Adaptive and Robust Control Systems6. Motion Systems for Robot Intelligence and Humanoid Robotics7. CPG based Feedback Control, Morphological Control8. Actuators and Sensors in Motion System9. Motion Control of Aerial/Ground/Underwater Robots10. Advanced Dynamics and Motion Control11. Motion Control for Assistive and Rehabilitative Robots and Systems12. Intelligent and Advanced Traffic Controls13. Computer Vision in Motion Control14. Network and Communication Technologies in Motion Control15. Motion Control of Soft Robots16. Automation Technologies in Primary Industries17. Other Topics and Applications Involving Motion Dynamics and Control


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 25th IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE Signal Processing Society, is the premier forum for the presentation of technological advances and research results in the fields of theoretical, experimental, and applied image and video processing. ICIP 2018, the 25th in the series that has been held annually since 1994, brings together leading engineers and scientists in image and video processing from around the world.


2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (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 papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2018 43rd International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz2018)

Covering terahertz, far infrared and millimeter wave science, technology and applications


More Conferences

Periodicals related to Fourier Transform

Back to Top

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.


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.


Broadcasting, IEEE Transactions on

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


Circuits and Systems II: Express Briefs, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


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.)


More Periodicals

Most published Xplore authors for Fourier Transform

Back to Top

Xplore Articles related to Fourier Transform

Back to Top

Overview of the Fourier Transform Hyperspectral Imager (HSI) boarded on HJ-1A satellite

[{u'author_order': 1, u'affiliation': u'Beijing Normal University, 100875, China', u'full_name': u'Xiang Zhao'}, {u'author_order': 2, u'affiliation': u'Beijing Normal University, 100875, China', u'full_name': u'Zhengqing Xiao'}, {u'author_order': 3, u'affiliation': u'China Center for Resource Satellite Data and Applications, Beijing 100094, China', u'full_name': u'Qian Kang'}, {u'author_order': 4, u'affiliation': u'Satellite Environmental Center, Ministry of Environmental Protection of China, Beijing,100029, China', u'full_name': u'Qing Li'}, {u'author_order': 5, u'affiliation': u'Beijing Normal University, 100875, China', u'full_name': u'Li Fang'}] 2010 IEEE International Geoscience and Remote Sensing Symposium, 2010

On September 6, 2008, in Taiyuan Satellite Launch Center, HJ-1A/B satellites (HJ-1A/B), China's first two satellites of Environment & Disasters Monitoring and Predicting Microsatellite Constellations, were successfully launched with the technique of “one rocket, two satellites”. The HyperSpectral Imager(HSI) on-board HJ-1A satellite is a Fourier Transform HyperSpectral Imager(FTHSI) built by Xian Institute of Optics and Precision Mechanics(XIOPM) of Chinese Academy ...


Miniaturizing Fourier Transform Spectrometer With an Electrothermal Micromirror

[{u'author_order': 1, u'affiliation': u'Research Institute of Micro/Nano Technology, Shanghai Jiao Tong University, Shanghai, China', u'full_name': u'Wei Wang'}, {u'author_order': 2, u'affiliation': u'Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA', u'full_name': u'Sean R. Samuelson'}, {u'author_order': 3, u'affiliation': u'Research Institute of Micro/Nano Technology, Shanghai Jiao Tong University, Shanghai, China', u'full_name': u'Jiapin Chen'}, {u'author_order': 4, u'affiliation': u'Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA', u'full_name': u'Huikai Xie'}] IEEE Photonics Technology Letters, 2015

An amplitude-division Fourier transform spectroscopy system has been constructed. The system design hinges on an electrothermally actuated micromirror with large piston motion. The micromirror is composed of electrothermal mesh actuators and can generate up to 95 μm usable linear optical path difference of the system at only 0.8 Vdc. A custom electrical system is developed to control the micromirror and ...


A Modified Equation for the Spectral Resolution of Fourier Transform Spectrometers

[{u'author_order': 1, u'affiliation': u'State Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, China', u'full_name': u'Jinyang Li'}, {u'author_order': 2, u'affiliation': u'State Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, China', u'full_name': u'Dan-feng Lu'}, {u'author_order': 3, u'affiliation': u'State Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, China', u'full_name': u'Zhi-mei Qi'}] Journal of Lightwave Technology, 2015

The spectral resolution of a Fourier transform spectrometer (FTS) is traditionally expressed as Δν = 0.5/δmaxin which ν is the wavenumber and δmaxis the maximum optical pathlength difference (OPD). This equation is valid for the moving mirror-based FTS whose OPD is independent of wavelength but inapplicable to the FTS with wavelength-dependent OPD. In this paper, by taking into account the ...


Non-Destructive Evaluation of Soft Body Armour Condition using Fourier Transform Infrared Spectroscopy

[{u'author_order': 1, u'affiliation': u'School of Engineering, Massey University, New Zealand', u'full_name': u'S. Alsallal'}, {u'author_order': 2, u'affiliation': u'School of Engineering, Massey University, New Zealand', u'full_name': u'M. Tunnicliffe'}, {u'author_order': 3, u'affiliation': u'School of Engineering, Massey University, New Zealand', u'full_name': u'E. Avci'}] 2018 43rd International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), 2018

The aim of this study is to identify an effective Non-Destructive Evaluation (NDE) approach that can differentiate between a usable and unusable piece of aged soft body armour that is for protection of body. Firstly, target materials were aged artificially through heating and humidity. Secondly, new and aged samples were analyzed in terms of strength through Fourier Transform Infrared Spectroscopy ...


Fourier transform spectroscopy via a single electro-optic frequency comb

[{u'author_order': 1, u'affiliation': u'Department of Electrical and Computer Engineering, McGill University, 3480 University Street, Montreal, Quebec, Canada', u'full_name': u'M. Imrul Kayes'}, {u'author_order': 2, u'affiliation': u'Department of Electrical and Computer Engineering, McGill University, 3480 University Street, Montreal, Quebec, Canada', u'full_name': u'Martin Rochette'}] 2017 IEEE Photonics Conference (IPC), 2017

We demonstrate a single-comb Fourier transform spectrometer by sweeping the pulse repetition frequency of an electro-optic frequency comb. Such combs are more flexible than mode-locked lasers in terms of tunability of the comb repetition rate, which provides an advantage for comb based spectroscopy.


More Xplore Articles

Educational Resources on Fourier Transform

Back to Top

eLearning

No eLearning Articles are currently tagged "Fourier Transform"

IEEE-USA E-Books

  • A Fixed-Point Fast Fourier Transform Error Analysis

    This paper contains an analysis of the fixed-point accuracy of the powqer of two, fast Fourier transform algorithm. This analysis leads to approximate upper and lower bounds on the root-mean-square error. Also included are the results of some accuracy experiments on a simulated fixed-point machine and their comparison with the error upper bound.

  • Fast Fourier Transform Hardware Implementations—An Overview

    This discussion served as an introduction to the Hardware Implementations session of the IEEE Workshop on Fast Fourier Transform Processing. It introduces the problems associated with implementing the FFT algorithm in hardware and provides a frame of reference for characterizing specific implementations. Many of the design options applicable to an FFT processor are described, and a brief comparison of several machine organizations is given.

  • Roundoff Noise in Floating Point Fast Fourier Transform Computation

    A statistical model for roundoff errors is used to predict output noise-to- signal ratio when a fast Fourier transform is computed using floating point arithmetic. The result, derived for the case of white input signal, is that the ratio of mean-squared output noise to mean-squared output signal varies essentiallay as ν = log2N, where N is the number of points transformed. This predicted result is significantly lower than bounds previously derived on mean-squared output noise-to-signal ratio, which are proportional to ν2. The predictions are verified experimentally, with excellent agreement. The model applies to rounded arithmetic, and it is found experimentally that if one truncates, rather than rounds, the results of floating point additions and multiplications, the output noise increases significantly (for a given ν). Also, for truncation, a greater than linear increase with ν of the output noise-to-signal ratio is observed.

  • A Linear Filtering Approach to the Computation of the Discrete Fourier Transform

    This chapter contains sections titled: Introduction, An Algorithm Suggested by Chirp Filtering

  • A Fast Fourier Transform Algorithm Using Base 8 Iterations

    None

  • Fourier Transform

    This chapter first investigates signal spectra in Simulink. It then performs the Fourier transform of the sampled audio signals. It also examines the spectral characteristics of the periodic function. Next, the chapter analyzes the relationship between the envelope of the line spectrum and the pulse width. It then provides step-by-step code exercises and instructions to implement execution sequences. The envelope of the line spectrum has the shape of a sinc function, or, more exactly, the absolute value of the sinc function, since the scope shows the?>magnitude?> spectrum. The chapter finally reviews generation of a periodic signal that has the same line spectrum as Pulse Generator1 but does not have the line component located at 6 kHz. It is designed to help teach and understand communication systems using a classroom- tested, active learning approach.

  • Data Transmission by FrequencyDivision Multiplexing Using the Discrete Fourier Transform

    The Fourier transform data communication system is a realization of frequency- division multiplexing (FDM) in which discrete Fourier transforms are computed as part of the modulation and demodulation processes. In addition to eliminating the banks of subcarrier oscillators and coherent demodulators usually required in FDM systems, a completely digital implementation can be built around a special-purpose computer performing the fast Fourier transform. In this paper, the system is described and the effects of linear channel distortion are investigated. Signal design criteria and equalization algorithms are derived and explained. A differential phase modulation scheme is presented that obviates any equalization.

  • Fourier Transform and Fourier Series

    The Fourier transform (FT) has been widely used in circuit analysis and synthesis, from filter design to signal processing, image reconstruction, and so on. Fourier transform is used for energy signal which contain finite energy. The discrete Fourier transform (DFT) and fast Fourier transform (FFT) are discrete tools to analyze time domain signals. One needs to know the problems caused by discretization and specify the parameters accordingly to avoid nonphysical and nonmathematical results. Mathematically, FT is defined for continuous time signals, and in order to go to frequency domain, the time signal must be observed from an infinite-extend time window. This chapter lists a simple MATLAB code for the Fourier series representation of a given function. The number of terms required in the Fourier series representation depends on the smoothness of the function and the specified accuracy.

  • Appendix A: The Fourier Transform

    This chapter contains sections titled: * Introduction * Fourier Transformation of Time-Domain and Spatial Frequency-Domain Signals ]]>

  • Appendix B: Fourier Analysis and the Fast Fourier Transform (FFT)

    This appendix contains sections titled: * The Structure of the FFT * Windowing * FFT of the State Variable * Exercise * References



Standards related to Fourier Transform

Back to Top

No standards are currently tagged "Fourier Transform"


Jobs related to Fourier Transform

Back to Top