Discrete Fourier Transform
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Back to TopConferences related to Discrete Fourier Transform
Back to Top2012 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
he International Conference on Digital Image Computing: Techniques and Applications (DICTA) is the main Australian Conference on computer vision, image processing, pattern recognition, and related areas. DICTA was established as a biannual conference in 1991 and became an annual event in 2007. It is the premiere conference of the Australian Pattern Recognition Society (APRS).
2009 IEEE International Conference on Electro/Information Technology (eit2009)
The 2009 Electro/Information Technology Conference, sponsored by the IEEE Region 4 (R4), is focused on basic/applied research results in the fields of electrical and computer engineering as they relate to Information Technology and its applications. The purpose of the conference is to provide a forum for researchers and industrial investigators to exchange ideas and discuss developments in this growing field.
Periodicals related to Discrete Fourier Transform
Back to TopImage Processing, IEEE Transactions on
Signalprocessing 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 halftoning and display, andcolor reproduction.
Medical Imaging, IEEE Transactions on
Imaging methods applied to living organisms with emphasis on innovative approaches that use emerging technologies supported by rigorous physical and mathematical analysis and quantitative evaluation of performance.
The most highlycited general interest journal in electrical engineering and computer science, the Proceedings is the best way to stay informed on an exemplary range of topics. This journal also holds the distinction of having the longest useful archival life of any EE or computer related journal in the world! Since 1913, the Proceedings of the IEEE has been the ...
Signal Processing Letters, IEEE
Rapid dissemination of new results in signal processing worldwide.
Signal Processing, IEEE Transactions on
The technology of transmission, recording, reproduction, processing, and measurement of speech; other audiofrequency 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.
Xplore Articles related to Discrete Fourier Transform
Back to TopFault diagnoses for all the stages of the power electronic converter
Tamer Kamel; Yevgen Biletskiy; Christopher P Diduh; Liuchen Chang 2012 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 2012
This paper presents a fault detection, classification, and diagnoses for all the successive stages of the power electronic converter, including; the three phase rectifier, the dcdc converter, and finally the single phase inverter. The paper provides a number of proposed algorithms for the open circuit fault diagnoses of these stages. The inputs of these algorithms are the voltage and current ...
Time domain implementation of spacetime/frequency block codes for OFDM systems
A. Lodhi; F. Said; M. Dohler; A. H. Aghvami IEE Proceedings  Communications, 2006
Spatial diversity is a widely applied technique for enhancing the wireless system performance, since it greatly reduces the detrimental effects of multipath fading. Orthogonal spacetime block codes are considered to be a good choice for spatial diversity, as they provide full diversity without any channel state information at the transmitter. The standard frequency domain application of these block codes for ...
Optimum preemphasis for FM transmission with frequencydomain voice scrambling
Y. Akaiwa; E. Okamoto; Y. Furuya IEEE 39th Vehicular Technology Conference, 1989
Optimum pre and deemphasis are theoretically investigated for FM and PM transmission, including frequencydomain scrambling for voice security. Using a linear system model, the optimum frequency characteristics for pre and de emphasis filters are given as functions of the voice signal spectrum, demodulator output noise spectrum, and the scrambling method. Comparisons of the maximum attainable SNR (signal/noise ratio) are made ...
Toshihiro Hori IEEE Transactions on Circuits and Systems I: Regular Papers, 2008
This paper discusses how to reduce the numbers of sampling points to obtain the 2D discrete Fourier transform used in harmonic balance method. A method of embedding a 2D Fourier transform into a 1D one has already been proposed. This paper proposes a method of reducing the numbers of sampling points in a 1D Fourier transform, by using bandpass sampling. ...
The impact of harmonics calculation methods on power quality assessment in wind farms
Łukasz Hubert Kocewiak; Jesper Hjerrild; Claus Leth Bak Proceedings of 14th International Conference on Harmonics and Quality of Power  ICHQP 2010, 2010
Different methods of calculating harmonics in measurements obtained from offshore wind farms are shown in this paper. Appropriate data processing methods are suggested for harmonics with different origin and nature. Enhancements of discrete Fourier transform application in order to reduce measurement data processing errors are proposed and compared with classical methods. Comparison of signal processing methods for harmonic studies is ...
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Educational Resources on Discrete Fourier Transform
Back to TopeLearning
Fault diagnoses for all the stages of the power electronic converter
Tamer Kamel; Yevgen Biletskiy; Christopher P Diduh; Liuchen Chang 2012 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 2012
This paper presents a fault detection, classification, and diagnoses for all the successive stages of the power electronic converter, including; the three phase rectifier, the dcdc converter, and finally the single phase inverter. The paper provides a number of proposed algorithms for the open circuit fault diagnoses of these stages. The inputs of these algorithms are the voltage and current ...
Time domain implementation of spacetime/frequency block codes for OFDM systems
A. Lodhi; F. Said; M. Dohler; A. H. Aghvami IEE Proceedings  Communications, 2006
Spatial diversity is a widely applied technique for enhancing the wireless system performance, since it greatly reduces the detrimental effects of multipath fading. Orthogonal spacetime block codes are considered to be a good choice for spatial diversity, as they provide full diversity without any channel state information at the transmitter. The standard frequency domain application of these block codes for ...
Optimum preemphasis for FM transmission with frequencydomain voice scrambling
Y. Akaiwa; E. Okamoto; Y. Furuya IEEE 39th Vehicular Technology Conference, 1989
Optimum pre and deemphasis are theoretically investigated for FM and PM transmission, including frequencydomain scrambling for voice security. Using a linear system model, the optimum frequency characteristics for pre and de emphasis filters are given as functions of the voice signal spectrum, demodulator output noise spectrum, and the scrambling method. Comparisons of the maximum attainable SNR (signal/noise ratio) are made ...
Toshihiro Hori IEEE Transactions on Circuits and Systems I: Regular Papers, 2008
This paper discusses how to reduce the numbers of sampling points to obtain the 2D discrete Fourier transform used in harmonic balance method. A method of embedding a 2D Fourier transform into a 1D one has already been proposed. This paper proposes a method of reducing the numbers of sampling points in a 1D Fourier transform, by using bandpass sampling. ...
The impact of harmonics calculation methods on power quality assessment in wind farms
Łukasz Hubert Kocewiak; Jesper Hjerrild; Claus Leth Bak Proceedings of 14th International Conference on Harmonics and Quality of Power  ICHQP 2010, 2010
Different methods of calculating harmonics in measurements obtained from offshore wind farms are shown in this paper. Appropriate data processing methods are suggested for harmonics with different origin and nature. Enhancements of discrete Fourier transform application in order to reduce measurement data processing errors are proposed and compared with classical methods. Comparison of signal processing methods for harmonic studies is ...
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An algorithm is presented for the calculation of the spectrum of direct digital frequency synthesizers (DDFS'B) as a result of phase accumulator truncation. This algorithm. which is derived using number theoretic methods. includes a dosed form expression, relating the magnitude, number, and position of the spurious noise lines in the output spectrum at a DDFS to the readonly memory (ROM) lookup table size, the amount of phase accumulator truncation and the input frequency control command. The combined finite word length effects of the ROM and the DigitaltoAnalog converter (DAC) nonlinearities are also examined in the light of these new results and new design guidelines are developed. The spectrums predicted by these closed form expressions are compared against spectrums generated by a discrete Fourier transform (DFT) and are shown to have comparable accuracy. As a result of obtaining an expression for the magnitude of the spurious noise frequencies, a relationship between the greatest common divisor at the input frequency command word and the ROM table size, the phase accumulator word lengths, and the magnitude of the worst case sput is obtained. This relationship is used as the basis for a novel modification to the conventional phase accumulator structure which results in a 3.922dB reduction in the magnitude of the worst ease spurious response. This hardware modification is also shown to average out the error effects of DAC nonlinearities and roundoff in the stored sine ROM samples.

Measurements of Frequency Response Functions
This chapter contains sections titled: Introduction An Introduction to the Discrete Fourier Transform Spectral Representations of Periodic Signals Analysis of FRF Measurements Using Periodic Excitations Reducing FRF Measurement Errors for Periodic Excitations FRF Measurements Using Random Excitations FRF Measurements of Multiple Input, Multiple Output Systems Guidelines for FRF Measurements Conclusion Exercises Appendixes

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 highlevel 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 finitedifference timedomain 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 onedimensional simulation and progresses to a threedimensional 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 to propagation in dispersive media. Peripheral topics that are pertinent to timedomain simulation, such as Ztransforms 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 finitedifference timedomain method. Appropriate as both a textbook and for selfstudy, this tutorialstyle book will provide all the background you will need to begin research or other practical work in electromagnetic simulation.

Synchronized Phasor Measurement
Phasor computation is a digital technology of estimating the phasor components from the measured analog waveforms. Devices to perform such digital signal processing are called phasor measurement units (PMUs). This chapter provides a description of methods in computing the phasor quantities, in particular, at off???nominal frequencies. The basic method used to compute the phasor representation of a sinusoidal signal is the discrete Fourier transform (DFT). Under off???nominal frequency operation, the phasor expression requires a post???processing step to correct for the effects caused by the leakage phenomenon, resulting from the truncation of sampled data outside the data window. The chapter then discusses a few applications of PMU data to monitor the impact of disturbances on a power system and extract power system disturbance information. PMU data is also useful for reinforcing some of the power system dynamics concepts.

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 highlevel 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 finitedifference timedomain 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 onedimensional simulation and progresses to a threedimensional 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 to propagation in dispersive media. Peripheral topics that are pertinent to timedomain simulation, such as Ztransforms 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 finitedifference timedomain method. Appropriate as both a textbook and for selfstudy, this tutorialstyle book will provide all the background you will need to begin research or other practical work in electromagnetic simulation.

Introduction to Orthogonal Frequency Division Multiplexing
This chapter contains sections titled: Introduction Principles of QAMOFDM Modulation by Discrete Fourier Transform [553, 554] Transmission via Bandlimited Channels Generalised Nyquist Criterion Basic OFDM Modem Implementations Cyclic OFDM Symbol Extension Reducing MDI by Compensation [151] Adaptive Channel Equalisation OFDM Bandwidth Efficiency Summary

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

Transforms Used in Electronic Image Processing
This chapter contains sections titled: The Fourier Series The OneDimensional Fourier Transform The TwoDimensional Fourier Transform Important Functions Relating to the Fourier Transform The Discrete Fourier Transform Example and Properties of the Discrete Fourier Transform Computation of the Discrete Fourier Transform Other Image Transforms

This book is Volume III of the series DSP for MATLAB™ and LabVIEW™. Volume III covers digital filter design, including the specific topics of FIR design via windowedideallowpass filter, FIR highpass, bandpass, and bandstop filter design from windowedideal lowpass filters, FIR design using the transition bandoptimized Frequency Sampling technique (implemented by InverseDFT or Cosine/Sine Summation Formulas), design of equiripple FIRs of all standard types including Hilbert Transformers and Differentiators via the Remez Exchange Algorithm, design of Butterworth, Chebyshev (Types I and II), and Elliptic analog prototype lowpass filters, conversion of analog lowpass prototype filters to highpass, bandpass, and bandstop filters, and conversion of analog filters to digital filters using the Impulse Invariance and Bilinear Transform techniques. Certain filter topologies specific to FIRs are also discussed, as are two simple FIR types, the Comb and Moving Average filters. The entire series consists of four volumes that collectively cover basic digital signal processing in a practical and accessible manner, but which nonetheless include all essential foundation mathematics. As the series title implies, the scripts (of which there are more than 200) described in the text and supplied in code form here will run on both MATLAB™ and LabVIEW™. The text for all volumes contains many examples, and many useful computational scripts, augmented by demonstration scripts and LabVIEW™ Virtual Instruments (VIs) that can be run to illustrate various signal processing concepts graphically on the user's computer screen. Volume I consists of four chapters that collectively set forth a brief overview of the field of digital signal processing, useful signals and concepts (including convolution, recursion, difference equations, LTI systems, etc), conversion from the continuous to discrete domain and back (i.e., analogtodigital and digitaltoanalo conversion), aliasing, the Nyquist rate, normalized frequency, sample rate conversion and Mulaw compression, and signal processing principles including correlation, the correlation sequence, the Real DFT, correlation by convolution, matched filtering, simple FIR filters, and simple IIR filters. Chapter four of Volume I, in particular, provides an intuitive or "first principle" understanding of how digital filtering and frequency transforms work. Volume II provides detailed coverage of discrete frequency transforms, including a brief overview of common frequency transforms, both discrete and continuous, followed by detailed treatments of the Discrete Time Fourier Transform (DTFT), the zTransform (including definition and properties, the inverse ztransform, frequency response via ztransform, and alternate filter realization topologies including Direct Form, Direct Form Transposed, Cascade Form, Parallel Form, and Lattice Form), and the Discrete Fourier Transform (DFT) (including Di crete Fourier Series, the DFTIDFT pair, DFT of common signals, bin width, sampling duration, and sample rate, the FFT, the Goertzel Algorithm, Linear, Periodic, and Circular convolution, DFT Leakage, and computation of the Inverse DFT). Volume IV, the culmination of the series, is an introductory treatment of LMS Adaptive Filtering and applications, and covers cost functions, performance surfaces, coefficient perturbation to estimate the gradient, the LMS algorithm, response of the LMS algorithm to narrowband signals, and various topologies such as ANC (Active Noise Cancelling) or system modeling, Periodic Signal Removal/Prediction/Adaptive Line Enhancement (ALE), Interference Cancellation, Echo Cancellation (with single and dualH topologies), and Inverse Filtering/Deconvolution/Equalization. Table of Contents: Principles of FIR Design / FIR Design Techniques / Classical IIR Design

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 infiniteextend 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.
Standards related to Discrete Fourier Transform
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