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Traffic modeling in a multi-media environment

Traffic modeling in a multi-media environment

引用

Canadian Conference on electrical and computer engineering (CCECE)

作者： S.N. Subramanian Tho Le-Ngoc Center for Signal Processing and Communications Department of Electrical and Computer Engineering Concordia University Montreal QUE Canada

Proposes a new model for characterizing the data traffic in a multi-media environment. The authors model the data traffic by a two-state doubly stochastic Poisson process, with sojourn times in each state having an independent and identical heavy tailed distribution, such as the Pareto distribution. The simulation results from the new data traffic model are presented. The new model is versatile in capturing the self-similar characteristics of traffic found in the traffic measurements. The authors also suggest that the other two types of multi-media traffic namely, voice and video may each be characterized by a 2-state doubly stochastic Poisson process with exponential sojourn times (i.e., a Markov modulated Poisson process or MMPP).

关键词： Traffic control Multimedia communication Stochastic processes Packet switching Telecommunication traffic Communication system traffic control signal processing Electronic mail B-ISDN Jitter

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Objective measurement of image impairments. Blocking, blurring, and spatial edge noise

Objective measurement of image impairments. Blocking, blurri...

引用

Canadian Conference on electrical and computer engineering (CCECE)

作者： W.W. Bishtawi W.E. Lynch Center of Signal Processing and Communications Department of Electrical & Computer Engineering Concordia University Montreal QUE Canada

The impairment detection method (IDM) is proposed. It is an objective measurement technique of subjective image quality. Given the original and reproduced image as inputs, both images are divided into three areas: flat area, texture area, and sharp edge area. Features are extracted from each area using gradient vector block analysis. The IDM produces three output parameters that measure blocking distortion, blurring, and spatial edge noise.

关键词： Noise measurement Distortion measurement Image coding Image quality Humans Histograms Pixel signal processing Measurement techniques Mean square error methods

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Index mapping approach of deriving the PM DFT algorithms

Index mapping approach of deriving the PM DFT algorithms

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Canadian Conference on electrical and computer engineering (CCECE)

作者： D. Sundararajan M.O. Ahmad Center for Signal Processing and Communications Department of Electrical and Computer Engineering Concordia University Montreal QUE Canada

The DFT is of fundamental importance in many areas of science and engineering due to its efficient evaluation of frequently used operations such as signal analysis, convolution, and correlation. It has been shown that radix-2 DFT (discrete Fourier transform) algorithms can be designed based on vector representation of data providing several advantages. These algorithms provide more efficient solution for the problem of DFT computation. An index mapping approach is used to derive these algorithms. This approach makes the derivation simpler and provides a better insight into the functioning of the algorithms. The signal flow graph of the algorithm is also presented.

关键词： Equations Transforms

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Shape equalization of binary images using Fourier descriptor interpolation in low-level processing for image understanding

Shape equalization of binary images using Fourier descriptor...

引用

Canadian Conference on electrical and computer engineering (CCECE)

作者： M. Macieszczak M.O. Ahmad Center for Signal Processing and Communications Department of Electrical and Computer Engineering Concordia University Montreal QUE Canada

One of the most essential tasks in the image understanding systems is shape analysis of the binary images. The effectiveness of the shape analysis process requires an accurate description of the shape of the object and an appropriate structure of the input data. In this paper, a new method of the shape equalization is presented. The proposed approach increases the accuracy of the shape description without increasing the complexity of the input information. The method is based on the data interpolation using Fourier descriptors and takes advantage of the statistical properties of the objects found in image scenes. A 1-D filter is used for spatial filtering of the contours.

关键词： Shape Interpolation Layout Image sampling Frequency signal processing computer vision Image analysis Filters Filtering

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A window-sequence coding transformation suitable for computationally-efficient bit-serial implementation of stack filters

A window-sequence coding transformation suitable for computa...

引用

Midwest Symposium on Circuits and Systems (MWSCAS)

作者： C.E. Savin M.O. Ahmad M.N.S. Swamy Centre for Signal Processing and Communications Department of Electrical and Computer Engineering Concordia University Montreal QUE Canada

A window-sequence coding (WSC) technique suitable for improving the computational efficiency of a bit-serial implementation of 2-D stack filters is proposed. The WSC technique takes advantage of the observation that in most images, many pixels appearing in the filter-window at a certain time-instant assume non-distinct values. An algorithm that uses the bit-serial binary-tree search (BTS) architecture for stack filtering and employs the WSC technique is developed. The proposed algorithm is designated as a modified binary-tree search (MBTS) algorithm. It is shown that the computational efficiency of MBTS algorithm for 2-D stack filtering is significantly better than the efficiency of a BTS algorithm employing a recently proposed technique called the input compression. The improvement stems from the fact that in the input compression method, the samples appearing in a filter-window of size M are always mapped to the set of integers (0, 1, ..., M-1), in spite of the fact that usually in a 2-D window, several groups of pixels assume non-distinct values.

关键词： Nonlinear filters signal processing algorithms Filtering algorithms Computational efficiency signal processing Pixel Algorithm design and analysis Maximum likelihood detection Image restoration signal restoration

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On some intrinsic properties of the Radon transform of an SRF with application to 2-D spectrum estimation

On some intrinsic properties of the Radon transform of an SR...

引用

Canadian Conference on electrical and computer engineering (CCECE)

作者： R.R. Galigekere E.I. Plotkin Centre for Signal Processing and Communications Department of Electrical & Computer Engineering Concordia University Montreal QUE Canada

Some important issues that arise in applications involving the Radon transform (RT) of a stationary random field (SRF), specifically 2-D spectrum estimation (SE), are brought out. An expression for the RT of an SRF is developed based on a representation of an SRF of a given power spectrum density (PSD), valid up to second order statistics. The expression is useful in relating the autocorrelation function (ACF) of the RT with the RT of the 2-D ACF, as well as in highlighting some properties of the RT associated with an SRF. Inherent windowing that is inevitable in practice, and some of its implications on 2-D SE using the RT are discussed.

关键词： Application software signal processing Statistics Computed tomography Spectral analysis Autocorrelation Image analysis Image coding Frequency Density functional theory

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A new design of switched-current IIR filters

A new design of switched-current IIR filters

引用

Canadian Conference on electrical and computer engineering (CCECE)

作者： Shenghong Wang M.O. Ahmad Center for Signal Processing and Communications Department of Electrical and Computer Engineering Concordia University Montreal QUE Canada

A new design of a switched-current IIR filter using digital filter synthesis is described. The filter consists of unit delays, coefficient multipliers and adders. The design methodology is simple and it gives filters whose structure is very regular. The methodology is very suitable for programmable filter design and design automation. As an example, a second-order IIR filter is designed employing the developed technique and it is implemented using a new high accuracy differential switched-current memory cell.

关键词： IIR filters Circuits Digital filters Design automation Voltage Switches Communication switching signal processing signal synthesis Delay

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An adaptive fractal-based algorithm for image compression

An adaptive fractal-based algorithm for image compression

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Canadian Conference on electrical and computer engineering (CCECE)

作者： B. Dzerdz M.O. Ahmad Center for Signal Processing and Communications Department of Electrical and Computer Engineering Concordia University Montreal QUE Canada

The use of fractal theory in the area of image compression is a relatively new and intriguing concept. Its theoretical basis is well established in the theory of iterated function systems, and particularly in partitioned iterated function systems. However, there are still numerous questions about its practical implementation to be answered. The main problem with this method is that of reducing the complexity of an otherwise very promising concept. We describe a simple and efficient adaptive fractal-based algorithm for image compression. The algorithm uses horizontal-vertical (HV) partitioning of an image into rectangular blocks of different sizes. The partitioning information is used in the encoding process for determining both the range and the domain image blocks. Neither the ranges nor the domains are determined in advance. Instead, the image is fully partitioned into small areas not larger than some predetermined size. The ranges and the corresponding domains are then determined in an adaptive manner, by comparing the rectangular image blocks with different scales. The proposed algorithm attempts to find a good cover for the ranges as large as possible and it then proceeds toward smaller ranges only if an optimal cover is not found with the larger scale. The method allows the total number of finally chosen ranges to be reduced, which is an essential requirement for achieving high compression ratios. The proposed algorithm gives roughly one-half the number of ranges compared to that given by the quad-tree based partitions yielding significant improvement in the compression ratio.

关键词： Fractals Image coding signal processing algorithms Partitioning algorithms Adaptive signal processing Image converters

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An on-line method for signal recovery from nonuniform samples using block-rearrangement

An on-line method for signal recovery from nonuniform sample...

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Canadian Conference on electrical and computer engineering (CCECE)

作者： J. Romero E.I. Plotkin Centre for Signal Processing and Communications Department of Electrical & Computer Engineering Concordia University Montreal QUE Canada

A method for the signal recovery from nonuniform samples based on the block rearrangement of the sample ensemble is presented. The proposed method belongs to the class of on-line procedures because of the use of block processing that permits a fast start without waiting for additional information. The method consists of three basic stages. In the first stage, a rearrangement of the samples takes place by which they are allocated in blocks. In the second stage, an estimate of the corresponding uniform samples is obtained. The third stage consists in the successive application of an iterative procedure that improves the preliminary estimate of the uniform samples, by correcting the values of the nonuniform samples calculated from the estimate of the uniform samples. To obtain the estimate, two different methods are used: one based on the solution of systems of linear equations, and another one based on singular value decomposition.

关键词： signal processing Differential equations Iterative methods Sampling methods Error correction Finite wordlength effects

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Efficient generation of long-memory signals using lattice structures 29

Efficient generation of long-memory signals using lattice st...

引用

29th Asilomar Conference on signals, Systems and computers, ACSSC 1995

作者： Kogon, Stephen M. Manolakis, Dimitris G. Digital Signal Processing Laboratory School of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA30332-0250 United States Institute for Space Research Boston College 885 Centre Street Chestnut HillMA02159-1164 United States

ISBN: (纸本)0818673702

Two new algorithms are presented for the generation of long-memory signals using lattice filter structures. Currently, the best known generation methods make use of the Levins on-Durbin recursion which requires 0(N2) computations to compute the model. Two new synthesis methods for fractional difference signals are given which exploit the a priori knowledge of the partial correlation coefficients to reduce the computations by an order of magnitude from 0(N2) to O(N). A synthesis technique is also given for fractional noise signals using lattice filters where the lattice coefficients are determined using the Schiir algorithm, again with a computational savings over the Levins on-Durbin recursion. The lattice filter also has the distinct advantage of guaranteeing a stable system which is an important issue for long-memory signals which have a fractional order pole on the unit circle. © 1996 IEEE

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