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Modelling of multifractal object boundaries

Modelling of multifractal object boundaries

引用

Canadian Conference on electrical and computer engineering (CCECE)

作者： S. Siddiqui W. Kinsner Signal and Data Compression Laboratory Department of Electrical and Computer Engineering University of Manitoba Winnipeg MAN Canada

This paper presents a new technique that combines fractal and wavelet analyses to model rough (nonsmooth) but crisp (one-pixel wide) object boundaries that have fractal or multifractal characteristics. The boundary is represented compactly by two sets of descriptors and control points. The first set contains information about complexities present on the boundary and is calculated using a fractal dimension analysis. The second set contains information about the shape of the boundary and is calculated by using wavelet analysis. We apply the midpoint displacement algorithm on the two sets of control points in order to reconstruct boundaries with the required fractal or multifractal dimension. The quality of reconstruction is measured using the Renyi fractal dimension singularity measure. Experimental results produced compression ratios in the range of 300:1 to 450:1, while preserving the complexities of the original boundary, as measured by the above multifractal metrics.

关键词： Fractals Image coding Wavelet analysis Image segmentation Image reconstruction Shape Information analysis Video compression Curve fitting Image analysis

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Linear Degrees of Freedom for K-user MISO Interference Channels With Blind Interference Alignment

Linear Degrees of Freedom for K-user MISO Interference Chann...

引用

作者： Yang, Heecheol Shin, Wonjae Lee, Jungwoo Wireless Signal Processing Laboratory Department of Electrical and Computer Engineering Seoul National University Seoul08826 Korea Republic of

In this paper, we characterize the degrees of freedom (DoF) for K-user M × 1 multiple-input single-output interference channels with reconfigurable antennas, which have N-preset modes at the receivers, assuming linear coding strategies in the absence of channel state information at the transmitters, i.e., blind interference alignment. Our linear DoF converse builds on the lemma that if a set of transmit symbols is aligned at their common unintended receivers, those symbols must have independent signal subspace at their corresponding receivers. This lemma arises from the inherent feature that channel state's changing patterns of the links towards the same receiver are always identical, assuming that the coherence time of the channel is long enough. We derive an upper bound for the linear sum DoF, and propose an achievable scheme that exactly achieves the linear sum DoF upper bound when both of the n∗/M=R1 and MK/n∗=R2 are integers, where n∗ denotes the optimal number of preset modes out of N preset modes. For the other cases, where either R1 or R2 is not an integer, we only give some guidelines how the interfering signals are aligned at the receivers to achieve the upper bound. As an extension, we also show the linear sum DoF upper bound for downlink/uplink cellular networks. © 2017 IEEE.

关键词： Channel state information

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ECG compression with block encoding

ECG compression with block encoding

引用

Canadian Conference on electrical and computer engineering (CCECE)

作者： B. Huang W. Kinsner Department of Electrical and Computer Engineering Signal and Data Compression Laboratory University of Manitoba Winnipeg MAN Canada

This paper presents an electrocardiogram (ECG) frame (beat) compression scheme using block encoding and windowed-variance techniques, where the ECG frame has already been classified. compression of the complicated ECG frame is converted into a linear time registration problem of segments in this scheme. The segment in the frame is detected and partitioned by the windowed-variance technique. It is computationally inexpensive. A high compression ratio of nearly 50:1 is achieved and not related to the reconstruction error. The normalized percent root-mean-square difference is about 2.53% for a 10-minute ECG recording.

关键词： Electrocardiography Encoding Data compression signal sampling Laboratories signal resolution Sampling methods Hospitals Databases Telephony

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Transient analysis and genetic algorithms for classification

Transient analysis and genetic algorithms for classification

引用

Communications, Power and Computing Conference: WESCANEX

作者： J. Toonstra W. Kinsner Department of Electrical & Computer Engineering Signal and Data Compression Laboratory University of Manitoba Winnipeg MAN Canada

This paper presents a method of generating unique fingerprints of radio transmitter turn-on transients. The fingerprinting system consists of the application of multiresolution wavelet analysis used to characterize the features contained in the transient followed by the use of a genetic algorithm to extract the wavelet coefficients that represent critical features of the transient. To measure the ability of the system to generate efficient and unique fingerprints, a neural network is used to classify the transients by their fingerprints. To test the noise sensitivity of the system, noisy transients were applied to a trained neural network, the network was able to positively classify noisy transients with 20 dB signal to noise ratios (SNR) and up. Experiments with real radio transients show that the system is able generate uniqiue fingerprints for absolute classification by a neural network for radios of differing model type as well as radios of the same model type.

关键词： Transient analysis Genetic algorithms Fingerprint recognition signal to noise ratio Neural networks Radio transmitters signal resolution Wavelet analysis Algorithm design and analysis Wavelet coefficients

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Power system transient modelling and classification

Power system transient modelling and classification

引用

Canadian Conference on electrical and computer engineering (CCECE)

作者： J. Chen W. Kinsner B. Huang Department of Electrical and Computer Engineering Signal and Data Compression Laboratory University of Manitoba Winnipeg MAN Canada

This paper presents a method of modelling of power transients and their classification. A discrete wavelet transform and multifractal analysis based on a variance fractal dimension trajectory technique are used as tools to analyze the transients for feature extraction. A probabilistic neural network is used as a classifier for classification of transients associated with power system faults and switching. Experiments show that the classification system can achieve classification rate of 99% for power transients, and is robust in noisy environments.

关键词： Power system transients Power system modeling Discrete wavelet transforms Fractals Analysis of variance Transient analysis Wavelet analysis Feature extraction Neural networks Power system faults

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Complexity and its measures in cognitive and other complex systems

Complexity and its measures in cognitive and other complex s...

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IEEE International Conference on Cognitive Informatics

作者： Witold Kinsner Signal and Data Compression Laboratory Department of Electrical and Computer Engineering University of Manitoba Winnipeg MAN Canada

ISBN: (纸本)9781424425389

The last few decades of physics, chemistry, biology, computer science, engineering, and social sciences have been marked by major developments of views on cognitive systems, dynamical systems, complex systems, complexity, self-organization, and emergent phenomena that originate from the interactions among the constituent components (agents) and with the environment, without any central authority. How can measures of complexity capture the intuitive sense of pattern, order, structure, regularity, evolution of features, memory, and correlation? This paper describes several key ideas, including dynamical systems, complex systems, complexity, and quantification of complexity. As there is no single definition of a complex system, its complexity and complexity measures too have many definitions. This papers also addresses some practical aspects of acquiring the observables.

关键词： Dynamical systems Complex systems Cognitive systems Complexity Complexity measures Monoscale Multiscale measures Complex systems cognitive function Complexity DYNAMICAL SYSTEMS emergent phenomena

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Multimode Spectral Coding of Speech at 2400 bps and Below

Multimode Spectral Coding of Speech at 2400 bps and Below

引用

IEEE Workshop on Speech Coding For Telecommunications

作者： A.M. Das A. Gersho Signal Compression Laboratory Department of Electrical and Computer Engineering University of California Santa Barbara CA USA

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Quality measures in the processing of high-contrast images

Quality measures in the processing of high-contrast images

引用

Advances in Image Transmission II 1980

作者： Algazi, V.R. Ford, G.E. Signal and Image Processing Laboratory Department of Electrical and Computer Engineering University of California DavisCA95616 United States

The use of image quality measures in the design of processing algorithms and equipment is a difficult task. Realistic and useful images are complex and far from the threshold conditions under which psychophysical measurements and models are obtained. For a class of processing algorithms, the image distortion is actually proportional to the image contrast. For these algorithms it appears possible to determine a worst case image and to establish fairly simple quality criteria. The basic components of such a quality measure are discussed and examples of application given. © 1980 SPIE. All rights reserved.

关键词： Image quality

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Asymptotic closed-loop design of predictive multi-stage vector quantizers

Asymptotic closed-loop design of predictive multi-stage vect...

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IEEE International Conference on Image Processing

作者： H. Khalil K. Rose Signal Compression Laboratory Department of Electrical and Computer Engineering University of California Santa Barbara CA USA

This work considers the design of a multi-stage vector quantizer (MSVQ) for application to the motion compensated prediction error of video signals. It is well known that the design of predictive vector quantizers suffers from fundamental difficulties due to the prediction loop, which have an impact on the convergence and the stability of the design procedure. We propose an approach to predictive MSVQ design that enjoys the stability of open-loop design while ensuring ultimate optimization of the closed-loop system. The proposed design method is tested on video compression at low bit rates, where it significantly outperforms widely-used closed-loop design techniques, and achieves improvement over the H.263 standard.

关键词： Video compression Discrete cosine transforms Bit rate Image coding Laboratories Stability Mobile communication Statistics Video coding signal design

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A study of outliers for robust independent component analysis

A study of outliers for robust independent component analysi...

引用

Canadian Conference on electrical and computer engineering (CCECE)

作者： N. Gadhok W. Kinsner Department of Electrical and Computer Engineering Signal and Data Compression Laboratory University of Manitoba Winnipeg MAN Canada

The impact of outliers on the signal separation performance of an independent component analysis (ICA) algorithm is an important characteristic in assessing the algorithm's utility in real-world applications. If an ICA estimator has the property of B-robustness, the influence of an extreme point is bounded, leading to good separation performance in the presence of outliers. In recent work, major ICA estimators, such as FastICA, have been proven not to be B-robust. We seek to enhance the non-B-robust FastICA estimator by the introduction of K-means clustering for outlier mitigation. We compare our algorithm with the B-robust /spl beta/-divergence algorithm by conducting a simulation to reproduce published results. The paper demonstrates the utility of the K-means clustering algorithm to mitigate a class of outliers such that our ICA separation performance is at least equal to that of published results for the B-robust /spl beta/-divergence estimator.

关键词： Robustness Independent component analysis signal processing algorithms Clustering algorithms Higher order statistics Statistical analysis Blind source separation Vectors Data compression Laboratories

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