Discrete Fourier Transform
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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).
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.
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 TopUsing spectral estimation methods for external problems of microwave measurements
O. O. Drobakhin; V. F. Borulko; M. V. Andreev; Y. V. Belichenko Precision Electromagnetic Measurements Digest, 1996 Conference on, 1996
Antenna pattern (AP) and reflection coefficient (RC) determination is one of the most widely occurring external problems of microwave measurements. It is very important to develop the means of antenna measurements in the presence of echo signals. For narrow band antennas in the presence of frequency dispersion, especially in the millimeter wave range, the timedomain pulse method has restrictions. It ...
Rakhi Dubolia; Roop Singh; Sarita Singh Bhadoria; Rekha Gupta Communication Systems and Network Technologies (CSNT), 2011 International Conference on, 2011
Digital watermarking is a technique which allows an individual to add hidden copyright notices or other verification messages to digital audio, video, or image signals and documents. Watermarking can be done by using least significant bit (LSB), singular value decomposition (SVD), Discrete Fourier Transform (DFT), Discrete cosine transform (DCT) and Discrete wavelet transform (DWT) techniques. In this paper Discrete cosine ...
An extraction method of environmental surface profile using planar endeffectors
R. Kubo; K. Ohnishi 9th IEEE International Workshop on Advanced Motion Control, 2006., 2006
It is very important for robots working in unknown environment to recognize surface profile of the environment. This paper presents an extraction method of environmental surface profile based on environmental modes. Contact condition between a planar endeffector and the environment is also determined by using active motion which is named "groping motion" of the endeffector. The extraction method utilizes discrete ...
Watermarking through color image bands decorrelation
A. Piva; F. Bartolini; L. Boccardi; V. Cappellini; A. De Rosa; M. Barni Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on, 2000
Image watermarking has received great attention. Nevertheless, researchers are still faced with several problems: the extension of graylevel watermarking to the color case is one of them. To get rid of the problems raised by the correlation among image color bands, a new approach based on the decorrelation property of the KarhunenLoeve transform (KLT) is proposed. The KLT is first ...
Doppler estimation based on signal phase matching principle in wideband OFDM
Jianguo Huang; Maohua Ran; Tao Zhang; Fangfei Wu TENCON 2010  2010 IEEE Region 10 Conference, 2010
Major problem in applying OFDM to underwater channels is the motioninduced Doppler distortion which creates nonuniform frequency offset in the case of a wideband acoustic signal. And the loss of orthogonality due to the Doppler effects must be compensated before the demodulation with discrete Fourier transform. This paper proposes a novel Doppler estimation technique for OFDM communications over an underwater ...
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Educational Resources on Discrete Fourier Transform
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Using spectral estimation methods for external problems of microwave measurements
O. O. Drobakhin; V. F. Borulko; M. V. Andreev; Y. V. Belichenko Precision Electromagnetic Measurements Digest, 1996 Conference on, 1996
Antenna pattern (AP) and reflection coefficient (RC) determination is one of the most widely occurring external problems of microwave measurements. It is very important to develop the means of antenna measurements in the presence of echo signals. For narrow band antennas in the presence of frequency dispersion, especially in the millimeter wave range, the timedomain pulse method has restrictions. It ...
Rakhi Dubolia; Roop Singh; Sarita Singh Bhadoria; Rekha Gupta Communication Systems and Network Technologies (CSNT), 2011 International Conference on, 2011
Digital watermarking is a technique which allows an individual to add hidden copyright notices or other verification messages to digital audio, video, or image signals and documents. Watermarking can be done by using least significant bit (LSB), singular value decomposition (SVD), Discrete Fourier Transform (DFT), Discrete cosine transform (DCT) and Discrete wavelet transform (DWT) techniques. In this paper Discrete cosine ...
An extraction method of environmental surface profile using planar endeffectors
R. Kubo; K. Ohnishi 9th IEEE International Workshop on Advanced Motion Control, 2006., 2006
It is very important for robots working in unknown environment to recognize surface profile of the environment. This paper presents an extraction method of environmental surface profile based on environmental modes. Contact condition between a planar endeffector and the environment is also determined by using active motion which is named "groping motion" of the endeffector. The extraction method utilizes discrete ...
Watermarking through color image bands decorrelation
A. Piva; F. Bartolini; L. Boccardi; V. Cappellini; A. De Rosa; M. Barni Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on, 2000
Image watermarking has received great attention. Nevertheless, researchers are still faced with several problems: the extension of graylevel watermarking to the color case is one of them. To get rid of the problems raised by the correlation among image color bands, a new approach based on the decorrelation property of the KarhunenLoeve transform (KLT) is proposed. The KLT is first ...
Doppler estimation based on signal phase matching principle in wideband OFDM
Jianguo Huang; Maohua Ran; Tao Zhang; Fangfei Wu TENCON 2010  2010 IEEE Region 10 Conference, 2010
Major problem in applying OFDM to underwater channels is the motioninduced Doppler distortion which creates nonuniform frequency offset in the case of a wideband acoustic signal. And the loss of orthogonality due to the Doppler effects must be compensated before the demodulation with discrete Fourier transform. This paper proposes a novel Doppler estimation technique for OFDM communications over an underwater ...
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IEEEUSA EBooks

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 specialpurpose 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.

Chapter 2 discusses digital modulation techniques, including both single carrier modulation and multicarrier modulation. Basic OFDM processing operations, such as discrete Fourier transform (DFT)/inverse discrete Fourier transform (IDFT), guard interval insertion/removal, guard band reservation, spectrum shaping, and peaktoaverage power ratio are all addressed.

This chapter contains sections titled: Image Coordinate System Linear Systems Point Source and Impulse Functions Probability and Random Variable Functions Image Formation Pinhole Imaging Fourier Transform Radon Transform Sampling Discrete Fourier Transform Wavelet Transform Exercises References

As speech processing devices like mobile phones, voice controlled devices, and hearing aids have increased in popularity, people expect them to work anywhere and at any time without user intervention. However, the presence of acoustical disturbances limits the use of these applications, degrades their performance, or causes the user difficulties in understanding the conversation or appreciating the device. A common way to reduce the effects of such disturbances is through the use of singlemicrophone noise reduction algorithms for speech enhancement. The field of singlemicrophone noise reduction for speech enhancement comprises a history of more than 30 years of research. In this survey, we wish to demonstrate the significant advances that have been made during the last decade in the field of discrete Fourier transform domainbased singlechannel noise reduction for speech enhancement.Furthermore, our goal is to provide a concise description of a stateoftheart speech enhancement s stem, and demonstrate the relative importance of the various building blocks of such a system. This allows the nonexpert DSP practitioner to judge the relevance of each building block and to implement a closetooptimal enhancement system for the particular application at hand. Table of Contents: Introduction / Single Channel Speech Enhancement: General Principles / DFTBased Speech Enhancement Methods: Signal Model and Notation / Speech DFT Estimators / Speech Presence Probability Estimation / Noise PSD Estimation / Speech PSD Estimation / Performance Evaluation Methods / Simulation Experiments with SingleChannel Enhancement Systems / Future Directions

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 CramÃ©rRao Lower Bound How to Prove Asymptotic Properties of Estimators? Pitfalls Preliminary ExampleÂ Â Continued Properties of the Noise after a Discrete Fourier Transform Exercises Appendixes

Fourier Transforms in DiscreteTime Systems
This chapter contains sections titled: Introduction, Properties of the DiscreteTime Fourier Transform, DiscreteTime Filters, The DT Fourier Series and the Discrete Fourier Transform (DFT), Properties of the DT Fourier Series and the DFT, Summary, Appendix To Chapter 18, Exercises for Chapter 18, Problems for Chapter 18

This book is Volume II of the series DSP for MATLAB™ and LabVIEW™. This volume 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 z Transform (including definition and properties, the inverse z transform, 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). 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. 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 princ ples 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, preparing the reader for the present volume (Volume II). Volume III of the series covers digital filter design (FIR design using Windowing, Frequency Sampling, and Optimum Equiripple techniques, and Classical IIR design) and Volume IV, the culmination of the series, is an introductory treatment of LMS Adaptive Filtering and applications. Table of Contents: The Discrete Time Fourier Transform / The zTransform / The DFT

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

The Discrete Fourier Transform
This chapter contains sections titled: Introduction Common Uses of the DFT Equation and Block Diagram Properties Real Input Signals Strengths Weaknesses Conclusions

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
Standards related to Discrete Fourier Transform
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