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A comparison of the octave-band directional filter bank and Gabor filters for texture classification

A comparison of the octave-band directional filter bank and ...

引用

IEEE International Conference on image processing

作者： P.S. Hong L.M. Kaplan M.J.T. Smith Center for Signal and Image Processing Georgia Institute of Technology Atlanta Georgia USA Center for Theoretical Studies of Physical Systems Clark Atlanta University Atlanta Georgia School of Electrical and Computer Engineering Purdue University West Lafayette Indiana USA

This paper investigates the similarities between Gabor filters and the octave-band directional filter bank (OBDFB) with respect to texture classification. Both decompositions can angularly and radially discriminate in the 2-D frequency domain; however, the OB-DFB has a computationally efficient implementation that makes it an attractive alternative to Gabor filters. An analysis of local energy features from Gabor filters and the OBDFB is presented showing similarities between their texture features. Texture classification experiments using both decompositions show comparable classification accuracy.

关键词： Filter bank Gabor filters Feature extraction image processing Frequency domain analysis image texture analysis Pixel signal processing Physics computing Systems engineering and theory

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Activation detection in multi-subject studies of fMRI using GLRT

Activation detection in multi-subject studies of fMRI using ...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： S.M. Shams G.A. Hossein-Zadeh H. Soltanian-Zadeh Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Institute for Studies in Theoretical Physics and Mathematics University of Tehran School of Cognitive Sciences Tehran Iran Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Institute for Studies in Theoretical Physics and Mathematics and Medical Image Analysis Laboratory Henry Ford Health System University of Tehran School of Cognitive Sciences Iran

A new method based on generalized likelihood ratio test (GLRT) for activation detection in multi-subject studies of functional MRI (fMRI) is proposed. In this method, we test the correlation between the fMRI time series of different subjects and the bases of a signal subspace which increases the flexibility of method in detecting different shapes of hemodynamic response. The proposed multivariate method can be applied to group studies where the conventional cross-correlation method cannot be used due to its univariate property. This method is applied to both experimental and simulated fMRI data and the results are compared to those of general linear model (GLM). We show that the proposed method detects more significant activated regions in analyzing experimental data and more true voxels in simulated data

关键词： Testing Hemodynamics Brain modeling Process control Intelligent control Physics computing Mathematics Time series analysis Magnetic resonance imaging Data analysis

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Spectral modification for digital singing voice synthesis using asymmetric generalized Gaussians

Spectral modification for digital singing voice synthesis us...

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

作者： M.E. Lee M.J.T. Smith Center for Signal and Image Processing Georgia Institute of Technology School of Electrical and Computer Engineering Atlanta GA USA

This paper examines the problem of modelling and resynthesis of voiced song with the goal of improving the subjective performance quality. A set of methods is introduced based on the sinusoidal model for speech which enables precise modification of spectral characteristics as well as vibrato structure while maintaining the original speech quality and naturalness of the voice. Spectral characteristics are modified by modelling the formant structure with a set of asymmetric generalized Gaussians. Subjective tests were conducted which show that the proposed methods are effective in providing high quality modifications to vocal characteristics.

关键词： Gaussian processes Frequency Resonance Speech analysis signal synthesis signal processing image processing Testing Character recognition Speech recognition

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Direct estimation of musical pitch contour from audio data

Direct estimation of musical pitch contour from audio data

引用

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

作者： A.S. Durey M.A. Clements Center for Signal and Image Processing Georgia Institute of Technology School of Electrical and Computer Engineering Atlanta GA USA

The increasing amount of music being stored in digital formats calls for increasingly more creative methods for music information retrieval. One subset of music retrieval methods relies on storing a melody in a pitch contour representation. Most often, this contour information is generated either from symbolic format (MIDI) or from raw audio after a pitch transcription step. We propose a method of extracting pitch contour information from musical audio without an intermediate transcription step by combining a musically-tuned constant Q transform with crosscorrelation. When tested on a database of 520 monophonic music recordings, our method generates pitch contours from raw audio data with up to 98% accuracy.

关键词： Music information retrieval Multiple signal classification Data mining Audio databases signal processing image processing image retrieval Testing Audio recording Web sites

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New signal subspace direction-of-arrival estimator for wideband sources

New signal subspace direction-of-arrival estimator for wideb...

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

作者： Yeo-Sun Yoon L.M. Kaplan J.H. McClellan Center for Signal and Image Processing Georgia Institute of Technology School of Electrical and Computer Engineering Atlanta GA USA Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA CTSPS Dept. of Engineering Clark Atlanta University Atlanta GA

signal subspace methods in DOA estimation for wideband sources require preprocessing to find initial values which are close enough to the true values or to convert sensor outputs into desired forms. The preprocessing procedure should be carefully done lest it introduce some distortion. Failure to find proper initial values may prevent convergence of the estimator or cause biases in the estimator. The proposed method detects uncorrelated wideband sources using the signal subspace and the noise subspace of decomposed wideband signals. It does not require any initial values. The only preprocessing is narrowband decomposition of the sensor output which is very common in other wideband methods. computer simulation showed that the proposed method has less bias than and comparable variance to CSSM with small focusing errors.

关键词： Wideband Direction of arrival estimation Narrowband Frequency estimation Array signal processing Multiple signal classification Collaboration Government signal processing image processing

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Multi-channel spectrum analysis of surface waves

Multi-channel spectrum analysis of surface waves

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Asilomar Conference on signals, Systems & computers

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

Spectrum analysis of surface waves (SASW) is one of the most effective non-invasive methods for soil characterization. Surface waves travel in the medium along a free boundary and can be easily detected by using a transducer placed on the free surface of the boundary. Traditional methods of SASW are two-station methods that use the phase information at two receivers to determine phase velocity as a function of frequency. Multi-station methods have also been developed by using a two-dimensional Fourier transform approach, but these methods exhibit poor resolution. We propose a new method based on vector processing of data obtained from an array of tri-axial sensors to produce a high resolution, multi-modal spectrum of the surface waves. These different modes can be identified and reconstructed in time domain, and then inverted to obtain the shear velocity profile of the subsurface.

关键词： Surface waves Frequency Sensor arrays Rough surfaces Surface roughness Fourier transforms Surface reconstruction Amplitude estimation Polarization Parametric statistics

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Synchronous and asynchronous distributed DSP education 14

Synchronous and asynchronous distributed DSP education

引用

14th International Conference on Digital signal processing, DSP 2002

作者： Hayes, Monson H. Jackson, JoeI R. Center for Signal and Image Processing Georgia Institute of Technology School of Electrical and Computer Engineering AtlantaGA30332-0250 United States

ISBN: (纸本)0780375033

The Georgia Tech Regional engineering Program (GTREP) was originally created to provide the opportunity for students in southeastern Georgia to earn a Georgia Tech undergraduate engineering degree without leaving the region. Students complete two years of general education and engineering prerequisites at their home institutions before beginning the Georgia Tech curriculum as juniors. Georgia Tech courses are taught both by local faculty in southeast Georgia and remotely by faculty on the main campus. This system is further complicated by the fact that courses are delivered to three partner institutions as well as the GTREP facilities. The GTREP program is an ideal test bed for novel distributed education methods. In this paper, we present some results for the combined approach we have developed, and outline plans for future scaling as the GTREP program expands. © 2002 IEEE.

关键词： Students

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Pruned multi-angle resolution fast beam-forming

Pruned multi-angle resolution fast beam-forming

引用

IEEE Sensor Array and Multichannel signal processing Workshop, SAME 2002

作者： Yoon, Yeo-Sun Kaplan, Lance M. McClellan, James H. Center for Signal and Image Processing Georgia Institute of Technology School of Electrical and Computer Engineering AtlantaGA30332-0250 United States Dept. of Engineering CTSPS Clark Atlanta University AtlantaGA303 14 United States

ISBN: (纸本)0780375513

Delay-and-sum (DS) beam-forming is one of the basic beam-forming methods, and it is effective for both narrow- And wide-band sources. However, DS beam-forming exhibits high computational complexity. Recently, a fast multistage approximation of DS beam-forming was introduced. In order to further improve the computational efficiency of the fast beam-former, we have integrated a detector into the intermediate stages of the fast algorithm. This detector can save computations by stopping further processing to resolve benign angular sectors that do not contain a coherent source. The joint fast detector beam-former was tested using various wideband signals such as spread spectrum signals used in wireless communications. This technique should provide a useful direction finding solution in wireless communications and target localization applications. In addition, the fast algorithm can find initial values for high resolution direction-of-arrivals estimators such as coherent signal subspace methods. © 2002 IEEE.

关键词： Computational efficiency

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Multiresolution Quadtree Beamformer

Multiresolution Quadtree Beamformer

引用

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

作者： Seung-mok Oh James H. McClellan Center for Signal and Image Processing Georgia Institute of Technology School of Electrical and Computer Engineering Atlanta GA USA

The delay-sum beamformer (DSBF) is a space-time domain beamforming,method that performs coherent summation of sensor data. However, the computational complexity of finding the steered response over all angles is O(N 3 ). In this paper, an O(N 2 log 2 N) space-time domain beamforming algorithm it is proposed. This fast algorithm does not require uniform sensor spacing. It is called Quadtree Beamformer (QBF) because it is based on the iterative subband spectral decomposition method that has been used in the Quadtree BackProjection SAR imaging algorithm. The QBF is implemented by recursively performing a spectral decomposition process over the space-time domain sensor array data. It also provides intermediate stage data that can be used for multi-angle multiresolution beamforming.

关键词： Arrays Complexity theory Three dimensional displays signal resolution image resolution Array signal processing Imaging

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Multicarrier modulation via finite-field transforms

Multicarrier modulation via finite-field transforms

引用

IEEE Digital signal processing Workshop

作者： F. Fekri D.B. Williams Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

Multicarrier modulation has rapidly become common in both wireline and wireless high speed digital communications applications. However, the large dynamic range of a multicarrier signal causes problems at both the transmitter and the receiver. Here, finite-field mathematics are examined as a means of controlling the signal's dynamic range. A framework for multicarrier modulation with finite-field transforms is constructed, and equivalence to certain maximum distance separable error-correcting codes is demonstrated. Implications on the assumed digital channel model caused by using finite-field mathematics in the transmitter and receiver are also discussed.

关键词： Discrete Fourier transforms Transmitters Dynamic range OFDM modulation Convolution Mathematics Modulation coding Equalizers Discrete transforms Digital modulation

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