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A multirate pilot-symbol-assisted channel estimator for OFDM transmitter diversity systems

A multirate pilot-symbol-assisted channel estimator for OFDM...

引用

International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： K.F. Lee D.B. Williams Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA Motorola Inc. Boynton Beach Florida USA Center for Signal and Image Processing Georgia Institute of Technology Atlanta Georgia

Orthogonal frequency division multiplexing (OFDM) transmitter diversity techniques have been shown to be efficient means of achieving near optimal diversity gain in frequency-selective fading channels. For these systems, knowledge of the channel parameters is required at the receivers for diversity combining and decoding. In this paper, we propose a low complexity, bandwidth efficient, pilot-symbol-assisted channel estimator for multiple transmitter OFDM systems. The pilot symbols are constructed to be non-overlapping in frequency to allow for the simultaneous sounding of the multiple channels. The time-varying channel responses are tracked by interpolating a set of estimates obtained through periodically transmitted pilot symbols. The effectiveness and limitations of the proposed estimator are verified by simulations.

关键词： OFDM Transmitters Diversity reception Discrete Fourier transforms Transmitting antennas Channel estimation Data communication Diversity methods Frequency-selective fading channels Bandwidth

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Reconstructing surfaces using anisotropic basis functions

Reconstructing surfaces using anisotropic basis functions

引用

International Conference on computer Vision (ICCV)

作者： Huong Quynh Dinh G. Turk G. Slabaugh Graphics Visualization and Usability CenterCollege of Computing Georgia Institute of Technology USA School of Electrical and Computer Engineering Center for Signal and Image Processing Georgia Institute of Technology USA

ISBN: (纸本)0769511430

Point sets obtained from computer vision techniques are often noisy and non-uniform. We present a new method of surface reconstruction that can handle such data sets using anisotropic basis functions. Our reconstruction algorithm draws upon the work in variational implicit surfaces for constructing smooth and seamless 3D surfaces. Implicit functions are often formulated as a sum of weighted basis functions that are radially symmetric. Using radially symmetric basis functions inherently assumes, however that the surface to be reconstructed is, everywhere, locally symmetric. Such an assumption is true only at planar regions, and hence, reconstruction using isotropic basis is insufficient to recover objects that exhibit sharp features. We preserve sharp features using anisotropic basis that allow the surface to vary locally. The reconstructed surface is sharper along edges and at corner points. We determine the direction of anisotropy at a point by performing principal component analysis of the data points in a small neighborhood. The resulting field of principle directions across the surface is smoothed through tensor filtering. We have applied the anisotropic basis functions to reconstruct surfaces from noisy synthetic 3D data and from real range data obtained from space carving.

关键词： Surface reconstruction Anisotropic magnetoresistance image reconstruction Surface fitting Optical noise Shape Polynomials computer vision Surface emitting lasers Space technology

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Secure blind image steganographic technique using discrete Fourier transformation

Secure blind image steganographic technique using discrete F...

引用

IEEE International Conference on image processing

作者： F. Alturki R. Mersereau Department of Electronic Engineering College of Technological Studies Shuwaikh Kuwait Center for Signal and Image Processing Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

We present a new steganographic technique for covert communications. The technique embeds the hidden information in the DFT domain after permuting the image pixels in the spatial domain using a key. The permutation process introduces randomness into the cover image and results in a significant increase in the number of transform coefficients that can be used to transmit the hidden information. The hidden information is embedded using a quantization technique. The perceptual and statistical properties of the cover and the stego images remain similar for small quantization steps. The security of the system is examined against known stego attack.

关键词： Steganography Decorrelation Pixel Quantization Information security Cryptography Application software Frequency image converters Educational institutions

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Unsupervised estimation of the human vocal tract length over sentence level utterances 25

Unsupervised estimation of the human vocal tract length over...

引用

25th IEEE International Conference on Acoustics, Speech, and signal processing, ICASSP 2000

作者： Necioǧlu, Burhan F. Clements, Mark A. Barnwell, Thomas P. Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA30332 United States

ISBN: (纸本)0780362934

This paper describes a method for the unsupervised and gender-independent estimation of the average human vocal tract length from the speech waveform, and reports results obtained on Fant's (1960) X-ray vowel data as well as results from experiments performed on multiple sentence utterances of 86 male and 78 female TIMIT speakers, including correlation analyses between the vocal tract length estimates and given body heights. The investigated error criteria that make non-iterative, closed-form estimator solutions possible are all found to achieve good speaker clustering potential for both male and female subgroups. © 2000 IEEE.

关键词： Iterative methods

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A C++ research and development environment for speech and audio processing applications

A C++ research and development environment for speech and au...

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34th Asilomar Conference

作者： Erdem Ertan, A. Barnwell III, T.P. School of Elec./Computer Engineering Center for Signal/Image Processing Georgia Institute of Technology 250 14th Street NW Atlanta GA 30318 United States

Speech and audio processing algorithms, which are based on the processing of the features and signals, are often written using poor programming styles. Understanding the existing source code and extending it is thus a time-consuming process that forces researchers to deal with programming problems instead of speech and audio processing innovations. We have developed a new system in C++ to overcome these problems. The programming techniques used in this environment allow a researcher to concentrate on innovations in an environment that still allows the rapid implementation of efficient real-time speech and audio processing applications.

关键词： Speech processing

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Migration of underground targets in UWB-SAR systems

Migration of underground targets in UWB-SAR systems

引用

IEEE International Conference on image processing

作者： W. Lertniphonphun J.H. McClellan Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

ISBN: (纸本)0780362977

Ultra-wideband synthetic aperture radar (UWB-SAR) systems can be used for imaging underground targets. However, conventional imaging algorithms that assume a constant velocity of propagation will exhibit degradations such as blurred targets and incorrect target locations. A superior approach is to do the processing by migrating the raw data collected by an array of sensors. In this paper, we use a filtering structure for migration as a 2-D all-pass filter, and present a practical processing method for UWB-SAR imaging. Improvements versus conventional SAR image focusing are included.

关键词： Focusing Sensor arrays Ultra wideband technology Filtering Iterative algorithms image generation image sensors Government Pixel signal processing

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Maximum likelihood training of the embedded HMM for face detection and recognition

Maximum likelihood training of the embedded HMM for face det...

引用

IEEE International Conference on image processing

作者： A.V. Nefian M.H. Hayes Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

ISBN: (纸本)0780362977

The embedded hidden Markov model (HMM) is a statistical model that can be used in many pattern recognition and computer vision applications. This model inherits the partial size invariance of the standard HMM, and, due to its pseudo two-dimensional structure, is able to model two-dimensional data such as images, better than the standard HMM. We describe the maximum likelihood training for the continuous mixture embedded HMM and present the performance of this model for face detection and recognition. The experimental results are compared with other approaches to face detection and recognition.

关键词： Maximum likelihood detection Hidden Markov models Face detection Face recognition Pattern recognition computer vision Probability distribution image recognition signal processing image processing

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Low bit-rate subband video coding using context models

Low bit-rate subband video coding using context models

引用

IEEE International Conference on image processing

作者： M.Z. Coban R.M. Mersereau Center for Signal & Image Processing School of Electrical & Computer Engineering Georgia Institute of Technology Atlanta GA USA

We propose a hybrid low bit-rate subband video coding scheme utilizing context models, rate-constrained motion estimation and overlapped motion compensation. Emerging efficient context-based entropy coding techniques fit very well into wavelet/subband-based coding systems, making them very attractive candidates for the entropy coding part of a wavelet/subband-based video coding scheme. A multidimensional probability modeling technique along with context-based entropy coding are utilized to exploit redundancies in the subband structure, yielding better compression.

关键词： Video coding Context modeling Entropy coding Video compression image coding Motion estimation Bit rate Probability distribution signal design Statistical distributions

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A C++ research and development environment for speech and audio processing applications

A C++ research and development environment for speech and au...

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Asilomar Conference on signals, Systems & computers

作者： A. Erdem Ertan T.P. Barnwell School of Electrical and Computer Engineering Center for Signal and Image Processing Georgia Institute of Technology Atlanta GA USA

ISBN: (纸本)0780365143

关键词： Research and development Speech processing Technological innovation Programming profession Data mining Flowcharts Application software signal processing computer languages Data analysis

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Error analysis for quadtree image formation

Error analysis for quadtree image formation

引用

IEEE International Conference on image processing

作者： L.M. Kaplan Seung-Mok Oh M. Cobb J.H. McClellan Department of Engineering Clark Atlanta University Atlanta GA USA Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

ISBN: (纸本)0780362977

The quadtree image formation technique is a computationally efficient approximation to standard backprojection. Where the computational load of backprojection is O(N/sup 3/) for N sensors forming an N/spl times/N image, the quadtree method uses a divide-and-conquer strategy similar to the fast Fourier transform (FFT) to reduce the computational load down to O(N/sup 2/ log(N)). However, the quadtree introduces errors in the relative time shifts used to focus pulses. These errors reduce the signal gain in the mainlobe response for isotropic point-like targets. In addition, the oscillations of the sidelobes increase from stage to stage. This paper develops performance bounds for the mainlobe losses under far field conditions and relates these bounds to the slow-time Nyquist rate.

关键词： Error analysis Synthetic aperture radar Radar scattering Layout Radar imaging Frequency image sensors Ultra wideband radar Motion compensation Geometry

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