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Deconvolution of sensor array signals using scale transform properties

Deconvolution of sensor array signals using scale transform ...

引用

IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis

作者： M. Izzetoglu T. Akgul Signal Processing Laboratory Electrical and Computer Engineering Department Drexel University Philadelphia PA USA

In this paper, we present the extension of solutions to the multiscale deconvolution problem which appears in sensor array applications. The sensor outputs are assumed to be generated as a convolution of the unknown source signal, the so-called wavelet, with various time-scaled versions of an unknown impulse response of the medium, namely reflectivity sequences. Methods to deconvolve these signals are available if the scaling effects, referred to as time-scale factors, are truly known. Here we show that time-scale factors between the system impulse responses can be obtained from the sensor array measurements by using the scale transform properties which yield "absolutely blind" multiscale deconvolution scheme.

关键词： Sensor arrays Deconvolution Reflectivity signal processing Biosensors Application software Convolution Sensor systems Discrete transforms signal generators

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Maternal ECG elimination and foetal ECG detection-comparison of several algorithms

Maternal ECG elimination and foetal ECG detection-comparison...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： A. Kam A. Cohen Signal Processing Laboratory Department of Electrical and Computer Engineering Ben-Gurion University of the Negev Beersheba Israel

When trying to record a foetal ECG (FECG), one of the main problems is the interference from the maternal ECG (MECG). Three algorithms for eliminating maternal ECG are compared. Two adaptive filtering techniques, LMS (least mean square) and RLS (recursive least squares), are compared to a new algorithm that uses the blind source separation (BSS) theorem to separate the FECG from signals that are recorded with a lot of MECG interference. Simulation studies were first performed. Two independent ECG signals (sources) were simulated; one was considered as the MECG while the other was the FECG. By mixing the two sources with various channels, the algorithms were checked and compared. The algorithms were tested on real data as well as that taken from DAISY (the DAtabase for the Identification of SYstems). Conclusions concerning the mixing system were drawn both from the real data and from the simulation experiments.

关键词： Electrocardiography Interference Adaptive filters Least squares approximation Resonance light scattering Least squares methods Filtering algorithms Blind source separation Source separation System testing

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Reconstruction of motion vector missing macroblocks in H.263 encoded video transmission over lossy networks

Reconstruction of motion vector missing macroblocks in H.263...

引用

IEEE International Conference on Image Processing

作者： S. Shirani F. Kossentini R. Ward Signal Processing and Multimedia Laboratory Department of Electrical and Computer Engineering University of British Columbia Vancouver BC Canada

Errors caused by loss of coded data can seriously affect an H.263 decoded image sequence. Several scenarios may occur that include: (1) loss of macroblocks in I or P frames, and (2) loss of motion vectors of macroblocks in P frames. The missing macroblocks in I and P frames can be reasonably reconstructed by exploiting the correlation between adjacent macroblocks. Existing methods which reconstruct the motion vector of a macroblock rely on existing motion vectors of surrounding macroblocks, and the results are not always satisfactory. A novel reconstruction technique for restoration of macroblocks with missing motion vectors is proposed. This method exploits the image continuity inside and across the borders of the macroblocks. Simulation results indicate that the performance of the proposed algorithm is good, both subjectively and objectively.

关键词： Image reconstruction Decoding Image sequences Image restoration

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Cochannel signal separation in fading channels using a modified constant modulus array

Cochannel signal separation in fading channels using a modif...

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Asilomar Conference on signals, Systems & computers

作者： S. Gummadi B.L. Evans Embedded Signal Processing Laboratory Department of Electrical and Computer Engineering University of Texas Austin Austin TX USA

We convert a constant modulus (CM) array into a robust smart antenna by modifying the error criterion to be a weighted sum of conventional CM array error and decision-directed equalization error. The new error criterion enables the CM array to (1) separate digital cochannel signals with multipath and inter-symbol interference and (2) track fading signals. The key contribution is that the modified error criterion adds phase sensitivity to the otherwise phase insensitive CM error criterion. We present computer simulations to show the signal tracking properties of the CM array using the modified error criterion in a fading environment.

关键词： Source separation Fading computer errors Antenna arrays Adaptive arrays Laboratories Robustness Frequency Attenuation Least squares approximation

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Reversible wavelet and spectral transforms for lossless compression of color images

引用

IEEE International Conference on Image Processing

作者： N. Strobel S.K. Mitra B.S. Manjunath Signal and Image Processing Laboratory Department of Electrical and Computer Engineering University of California Santa Barbara CA USA

ISBN: (纸本)0818688211

A new lossless image compression method for progressive-resolution transmission of color images is proposed. It is based on spatial and spectral transforms. Reversible wavelet transforms are performed across the red, green, and blue color components first. Then adaptive spectral transforms are applied to the associated color subbands. Simulation results indicate that the proposed algorithm can achieve bit rates that are about 20% lower than results obtained with comparable lossless image compression techniques supporting progressive-resolution transmission.

关键词： Wavelet transforms Image coding Color Decorrelation signal resolution Propagation losses Image storage signal processing Image processing Laboratories

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Adaptive heterodyne filters (AHF) for detection and attenuation of narrow band signals

Adaptive heterodyne filters (AHF) for detection and attenuat...

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

作者： K.E. Nelson M.A. Soderstrand Electrical and Computer Engineering Department Digital Signal Processing and Communications Laboratory USA University of California Davis CA USA

A fixed filter may be converted into an adaptive filter with a single adaptation parameter through the use of a new adaptive heterodyne filter (AHF) concept in which the frequency of the heterodyne signal is adjusted thereby translating the entire filter transfer function in frequency. If the fixed filter is selected to be a very narrow-band band-pass filter, the new AHF concept can be used very effectively in the elimination of narrow band interference in wide-band communications or control systems. A specific example of the removal of a slow-moving time-varying mechanical resonance from the control signal for a flight control system demonstrates the power of the new AHF concept.

关键词： Adaptive filters Attenuation Band pass filters Frequency conversion Narrowband Communication system control Control systems Transfer functions Interference elimination Wideband

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An interference rejection approach to noise adjusted principal components transform

An interference rejection approach to noise adjusted princip...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Chein-I Chang Qian Du Remote Sensing Signal and Image processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD USA

ISBN: (纸本)0780344030

A signal-to-noise ratio based PCA approach, called maximum noise fraction (MNF) transformation or noise adjusted principal components (NAPC) transform PCA was previously developed to arrange principal components in decreasing order of image quality rather than data variance as done for PCA. One of major disadvantages of this approach is that the noise covariance matrix must be estimated accurately from the data a priori. Another is that the factor of interference is not taken into account in MNF or NAPC where the effect of interference tends to be more serious than noise in hyperspectral images. In this paper, these two problems are addressed by considering the interference as a separate unwanted signal source from which an interference rejection approach to noise adjusted principal components transform (IRNAPC) can be developed in a similar manner that the NAPC was derived. It is shown that if interference is taken care of properly, IRNAPC significantly improves NAPC. Additionally, interference annihilation also improves the estimation of the noise covariance matrix.

关键词： signal to noise ratio Covariance matrix Principal component analysis Hyperspectral imaging Multispectral imaging Object detection Interference suppression Remote sensing signal processing Image processing

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Unsupervised linear unmixing Kalman filtering approach to signature extraction and estimation for remotely sensed imagery

Unsupervised linear unmixing Kalman filtering approach to si...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： C. Brumbley Chein-I Chang Remote Sensing Signal and Image processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD USA

Linear Unmixing Kalman Filtering (LUKF) approach was recently developed which incorporates the concept of linear unmixing into Kalman filtering so as to achieve signature abundance estimation, subpixel detection and classification for remotely sensed images. However, LUKF assumes a complete knowledge of the signature matrix used in the linear mixture model. In this paper, the LUKF is extended to an unsupervised LUKF where no knowledge about the signature matrix is required a priori. The unsupervised learning method proposed for the ULUKF is derived from a vector quantization-based clustering algorithm. It employs a nearest-neighbor rule to group potential signatures resident within an image scene into a class of distinct clusters whose centers represent different types of signatures. These clusters' centers are then used as if they were true signatures in the signature matrix LUKF. In order to evaluate the effectiveness of ULUKF, HYDICE images were used for assessment. The results produced by ULUKF show that subpixel detection and classification can be performed.

关键词： Kalman filters Nonlinear filters Filtering Vector quantization Clustering algorithms Iterative algorithms State estimation Remote sensing signal processing Image processing

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Image region extraction for content-based image retrieval 9

Image region extraction for content-based image retrieval

引用

9th European signal Processing Conference, EUSIPCO 1998

作者： Androutsos, D. Plataniotis, K.N. Venetsanopoulos, A.N. Department of Electrical and Computer Engineering Digital Signal and Image Processing Laboratory University of Toronto 10 King's College Road TorontoONMoS3G4 Canada Ryerson Polytechnic University 350 Victoria Street Toronto ONM5B2K3 Canada

We present a technique for coarsely extracting the regions of natural color images which contain directional detail, e.g.. edges, texture, etc.. and smooth color regions. which we then use for image database indexing. As a measure of color activity, we use a perceptually modified distance measure based on the sum-of-Angles criterion. We then apply histogram thresholding techniques to separate the image into smooth color regions and busy regions where edge, texture and color activity exists. Color segmentation is performed on the smooth areas using HSV histogram techniques, to obtain image regions with one dominant average color. Database indices are then created from the busy regions using the directional detail histogram technique along with the color vectors representing the segmented smooth areas. Image retrieval is then performed using the histogram intersection method for the detailed areas and color vector distance measures are utilized for retrieval of the smooth color regions.

关键词： Color

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Recent advances in the performance of InP gunn devices for the 100-300-GHz frequency range

Recent advances in the performance of InP gunn devices for t...

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International Conference on Terahertz Electronics

作者： H. Eisele A. Rydberg G.I. Haddad Solid-State Electronics Laboratory Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI USA Signal and Systems Group Department of Material Science University of Uppsala Uppsala Sweden

Improved heat dissipation in InP Gunn devices resulted in RF power levels exceeding 200 mW, 130 mW, 80 mW, and 25 mW at oscillation frequencies of around 103 GHz, 132 GHz, 152 GHz, and 162 GHz, respectively. Corresponding DC-to-RF conversion efficiencies exceeded 2.3% between 102 GHz and 132 GHz. Power combining increased the available RF power levels to more than 300 mW at 106 GHz, around 130 mW at 136 GHz, and more than 125 mW at 152 GHz with corresponding combining efficiencies from 80% to more than 100%. Operation in a second-harmonic mode yielded RF power levels of more than 2 mW around 220 GHz and more than 1 mW around 280 GHz.

关键词： Indium phosphide Gunn devices Radio frequency Heat sinks Resistance heating Oscillators Circuits Temperature Power generation Phase noise

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