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Back to Top2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
The Conference focuses on all aspects of instrumentation and measurement science and technology research, development and applications. The list of program topics includes but is not limited to: Measurement Science & Education, Measurement Systems, Measurement Data Acquisition, Measurements of Physical Quantities, and Measurement Applications.
APCCAS 20122012 IEEE Asia Pacific Conference on Circuits and Systems
2012 APCCAS will be focused on presenting new ideas, novel architectures, cuttingedge circuit techniques and technologies, for heterogeneous integration for circuits and systems.
Periodicals related to Fft
Back to TopCircuits 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.
SolidState Circuits, IEEE Journal of
The IEEE Journal of SolidState Circuits publishes papers each month in the broad area of solidstate circuits with particular emphasis on transistorlevel design of integrated circuits. It also provides coverage of topics such as device modeling, technology, systems design, layout, and testing that relate directly to IC design. Integrated circuits and VLSI are of principal interest; material related to discrete ...
Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
Integrated circuits and systems;VLSI based Architecture and applications; highspeed circuits and interconnect; mixedsignal SoC; speed/area/power/noise tradeoffs in CMOS circuits.
Xplore Articles related to Fft
Back to TopMeasurements of ocean wave spectra with vertical polarization Xband radar image sequences
Limin Cui; Yijun He 2009 IEEE International Geoscience and Remote Sensing Symposium, 2009
Ocean wave parameters, such as significant wave height, can be computed from wave spectrum. Ordinarily Xband nautical radar can produce the three dimensional wave number frequency image spectra from a time series of radar images with a 3D FFT algorithm. The fundamental image spectrum is related to the surface wave spectrum by the modulation transfer function (MTF). To determine the ...
A harmonic analysis algorithm based on synchronous sampling
Yadong Song; Canmei Yang 2014 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2014
The harmonic pollution has become a more and more serious problem because of the largescale application of nonlinear electrical loads in power systems. It is known to all that fast Fourier transformation (FFT) is an effective method for power signal harmonic analysis, but aliasing effect, picket fence effect, spectrum leakage and spectrum disturbance make it suffer from inevitable limitation. In ...
Superresolution imager via compressive sensing
Qi Wang; Guangming Shi IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, 2010
In this paper, we propose a novel imager that can acquire superresolution (SR) images with significantly fewer sensors. The theoretical basis of this imager is compressive sensing (CS) theory, which calls for a measurement matrix with good properties for effective reconstruction, such as RIP. Such a property indicates that entries of the received signal are effectively aliased. In our imager ...
Carrier frequency offset estimation for DSSS signals in the wired test of beamforming networks
Shuai Wang; Jun Shao; Shuiping Tu; Jibo Dai TENCON 2015  2015 IEEE Region 10 Conference, 2015
Beamforming for satelliteborne communications systems has attracted intensive attention in the past decade as it enables frequency reuse among the areas covered by different beams, and hence greatly improves bandwidth efficiency. This paper considers carrier frequency offset estimation for DSSS signals in the wired test of beamforming networks. A twostage frequency offset estimation algorithm is proposed and implemented, whose resource ...
Highperformance FFT processing using reconfigurable logic
G. Szedo; V. Yang; C. Dick Conference Record of ThirtyFifth Asilomar Conference on Signals, Systems and Computers (Cat.No.01CH37256), 2001
The fast Fourier transform (FFT) and its inverse (IFFT) are two of the most widely used building blocks in digital signal processing designs. A novel structure for a radix4 type FFT is proposed which can process frames of 16bit complex samples at a rate of one output sample per 100 MHz clock cycle, thus performing a 1024point transform in approximately ...
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Educational Resources on Fft
Back to TopeLearning
Measurements of ocean wave spectra with vertical polarization Xband radar image sequences
Limin Cui; Yijun He 2009 IEEE International Geoscience and Remote Sensing Symposium, 2009
Ocean wave parameters, such as significant wave height, can be computed from wave spectrum. Ordinarily Xband nautical radar can produce the three dimensional wave number frequency image spectra from a time series of radar images with a 3D FFT algorithm. The fundamental image spectrum is related to the surface wave spectrum by the modulation transfer function (MTF). To determine the ...
A harmonic analysis algorithm based on synchronous sampling
Yadong Song; Canmei Yang 2014 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2014
The harmonic pollution has become a more and more serious problem because of the largescale application of nonlinear electrical loads in power systems. It is known to all that fast Fourier transformation (FFT) is an effective method for power signal harmonic analysis, but aliasing effect, picket fence effect, spectrum leakage and spectrum disturbance make it suffer from inevitable limitation. In ...
Superresolution imager via compressive sensing
Qi Wang; Guangming Shi IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, 2010
In this paper, we propose a novel imager that can acquire superresolution (SR) images with significantly fewer sensors. The theoretical basis of this imager is compressive sensing (CS) theory, which calls for a measurement matrix with good properties for effective reconstruction, such as RIP. Such a property indicates that entries of the received signal are effectively aliased. In our imager ...
Carrier frequency offset estimation for DSSS signals in the wired test of beamforming networks
Shuai Wang; Jun Shao; Shuiping Tu; Jibo Dai TENCON 2015  2015 IEEE Region 10 Conference, 2015
Beamforming for satelliteborne communications systems has attracted intensive attention in the past decade as it enables frequency reuse among the areas covered by different beams, and hence greatly improves bandwidth efficiency. This paper considers carrier frequency offset estimation for DSSS signals in the wired test of beamforming networks. A twostage frequency offset estimation algorithm is proposed and implemented, whose resource ...
Highperformance FFT processing using reconfigurable logic
G. Szedo; V. Yang; C. Dick Conference Record of ThirtyFifth Asilomar Conference on Signals, Systems and Computers (Cat.No.01CH37256), 2001
The fast Fourier transform (FFT) and its inverse (IFFT) are two of the most widely used building blocks in digital signal processing designs. A novel structure for a radix4 type FFT is proposed which can process frames of 16bit complex samples at a rate of one output sample per 100 MHz clock cycle, thus performing a 1024point transform in approximately ...
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IEEEUSA EBooks

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.

This book is Volume IV of the series DSP for MATLAB™ and LabVIEW™. Volume IV 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, Noise Cancellation, Interference Cancellation, Echo Cancellation (with single and dualH topologies), and Inverse Filtering/Deconvolution. 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 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&# 482; 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 digitaltoanalog 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 4 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, includi g 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 Discrete 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 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 (impleme ted 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. Table of Contents: Introduction To LMS Adaptive Filtering / Applied Adaptive Filtering

This chapter contains sections titled: Introduction Four Performance Measures Ten BuildingBlock Algorithm Constraints TwoPoint FFT ThreePoint FFT FourPoint FFT FivePoint FFT SevenPoint FFT EightPoint FFT NinePoint FFT SixteenPoint FFT General Algorithms for All Odd Numbers BuildingBlock Algorithm Comparison Matrix Conclusions This chapter contains sections titled: References

Rigorous Diffraction Theory for 360?? ComputerGenerated Holograms
Most algorithms for a computergenerated hologram using FFT are effective only under the condition that both the input and observation surfaces are finite planes that are parallel to each other. To synthesize a 360 degree hologram in a computer, a numerical simulation of the diffraction on the non planar observation surfaces is required. At first, we propose a simple but rigorous equation which describes the relation between the diffracted wavefront of a 3D object and its 3D Fourier spectrum. In this method, an exact solution of the diffraction integral is given by the Green function. This principle gives us an intuitive understanding of calculation processes for various diffraction situation. Alternatively, fast computation solutions for spherical computer generated hologram employing PSF (convolution method) is proposed. We start with Helmholtz equation, with considering a boundary value problem in spherical coordinates. The solution define the transfer function and the spectral decomposition of the wave field in the spherical surface. Using the transfer function and the wave spectrum we can develop a spectral propagation formula (for spherical surfaces in spherical coordinates) analogous to the angular spectrum formula. Some computer simulation and experimental results are presented.

Fast Algorithms and Hybrid Techniques
This chapter contains sections titled: Introduction to Fast Algorithms Conjugate GradientFFT Method Adaptive Integral Method Fast Multipole Method Adaptive CrossApproximation Algorithm Introduction to Hybrid Techniques Hybrid Finite DifferenceFinite Element Method Hybrid Finite ElementBoundary Integral Method Summary Notes References Problems

This chapter introduces linear transforms, with a particular focus on the fast Fourier transform, the discrete cosine transform and the wavelet transform. Both parallel and pipelined implementations of the FFT and DCT are described. Filtering and inverse filtering in the frequency domain are discussed in some detail. The final section in this chapter discusses the stages within image and video coding, and outlines some of the techniques that can be used at each stage.

NearUltrasonic Wireless Orthogonal Frequency Division MULTIPLEXING MODEM DESIGN
This chapter discusses transmission of an image file over a nearultrasonic (NUS) wireless channel. The image file is orthogonal frequency division multiplexing (OFDM) modulated and transmitted from the speaker of a phone over an NUS wireless channel. The microphone in a PC samples the received signal and demodulates it to restore the image data. The chapter investigates transmit and receive algorithms for NUS OFDM systems. It also analyzes the waveforms and spectra of NUS systems at major processing stages. To demodulate each OFDM symbol, one needs to separately perform fast Fourier transform (FFT) on the properly partitioned portions of rcbb. The vector rcbb is the sampled version of the frequencyoffset compensated complex baseband signal. Proper partitioning of rcbb requires locating the starting sample of each OFDM symbol. The chapter is designed to help teach and understand communication systems using a classroomtested, active learning approach.

Chapter 9 illustrates architectures and circuits that are widely used in OFDM systems, including fast Fourier transform (FFT) processors, delay buffers, and circuits for rectangulartopolar conversion and for polartorectangular conversion.

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

A train of identical linearFM pulses provides both range resolution and Doppler resolution, hence its importance and popularity in radar systems. Its ambiguity function still suffers from significant sidelobes, both in delay and Doppler. Thus, modifications are usually applied to reduce these sidelobes. The chapter starts by considering the basic signal without modifications. The 2nd section demonstrates simple implementation (using FFT) of filters matched to higher Doppler shifts. The 3rd and 4th sections describe Doppler sidelobes reduction using interpulse weighting, and range sidelobes reduction using intrapulse weighting. Section 5 presents analytic results of the delayDoppler response in the presence of both interpulse and intrapulse weighting.