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Power consumption of a 2's complement adder minimized by effective dynamic data ranges

Power consumption of a 2's complement adder minimized by eff...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： R. Sheen S. Wang O.T.-C. Chen Ruey-Liang Ma Signal and Media Laboratories Department of Electrical Engineering National Chung Cheng University Chiayi Taiwan Computer System Development Department Computer & Communication Research Laboratory Industrial Technology and Research Institute Hsinchu Taiwan

Typically, two's complement is chosen to represent numbers since arithmetic operations of addition and subtraction are easy to perform. However, due to sign extension, an arithmetic operation for small dynamic data ranges may require switching power in the entire word length. Herein, we develop a two's complement adder with the dynamic-range determination and sign-extension units to reduce power consumption. According to the actual data range by minimizing sign-extension bits, only partial functional blocks of an adder are active to generate a final result of which sign bit is then extended to match the original word length. Experimental results demonstrate that our 32-bit carry-lookahead adder has 22.9% power reduction than the conventional one while dynamic ranges of input data are the Gaussian distribution with a mean of 16 bits and a standard deviation of 8 bits.

关键词： Energy consumption Dynamic range Adders Communication switching Arithmetic Capacitance Power dissipation Voltage Frequency Laboratories

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Fractal segmentation of signal from noise for radio transmitter fingerprinting

Fractal segmentation of signal from noise for radio transmit...

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Canadian Conference on electrical and computer engineering (CCECE)

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

This paper presents a study of segmentation between channel noise and turn-on transient for radio transmitter fingerprinting. The segmentation is based on a multifractal measure, which is called variance fractal dimension trajectory. Previous studies have shown that this multifractal measure is effective in nonstationary signal characterization. We employ two techniques for the variance fractal dimension implementation and evaluate them in terms of noise segmentation. An optimal window size for the fingerprinting is presented. We also present the Renyi dimension trajectory based on generalized entropy as an alternative of the variance fractal dimension measure for noise segmentation.

关键词： Fractals Radio transmitters Fingerprint recognition Entropy Noise measurement Sun Data compression Laboratories signal analysis

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Characterizing behaviour of birth/death processes using fractal measures

Characterizing behaviour of birth/death processes using frac...

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Canadian Conference on electrical and computer engineering (CCECE)

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

The goal of this work was to determine if fractal dimensions would be useful in attempting to characterize and extract emergent behaviour from cellular automata. More specifically, we sought to determine if entropy-based fractal dimensions might prove more useful in extracting behavioural information than morphological dimensions, such as the Hausdorff dimension. This hypothesis was confirmed over several experiments by calculating the gyration dimension, Hausdorff dimension, and by finding Shannon's entropy of the automata's supporting environment during each system iteration.

关键词： Fractals Automata Entropy Lattices Topology Data mining Shape Probability Genetics Cloning

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Progressive transmission of images using wavelets: evaluation using the Renyi generalized entropy

Progressive transmission of images using wavelets: evaluatio...

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Canadian Conference on electrical and computer engineering (CCECE)

作者： R. Dansereau W. Kinsner TR Laboratories (Telecommunications Research Laboratories) Winnipeg MAN Canada Department of Electrical and Computer Engineering Signal and Data Compression Laboratory University of Manitoba Winnipeg MAN Canada Department of Electrical and Computer Engineering Signal and Data Compression Laboratory University of Manitoba Winnipeg MAN Canada

This paper explores the quality of successive steps in a wavelet based progressive image transmission, using the Renyi generalized dimension D/sub q/. The Renyi generalized dimension is used to measure the multifractal complexity within an image giving us a tool for evaluating image quality other than the traditional PSNR. We apply this to a wavelet based progressive image transmission scheme through denoising, zerotree coding, and adaptive arithmetic coding to see how D/sub q/ changes as the image is reconstructed.

关键词： Entropy Image communication Image coding PSNR Fractals Noise reduction Arithmetic Image quality Energy measurement Image recognition

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Segmentation using multifractals for object-oriented video coding

Segmentation using multifractals for object-oriented video c...

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Canadian Conference on electrical and computer engineering (CCECE)

作者： H. Chen P. Yahampath W. Kinsner Department of Electrical and Computer Engineering Signal and Data Compression Laboratory University of Manitoba Winnipeg MAN Canada Telecommunications Research Laboratory Winnipeg MAN Canada

This paper presents a study of the application of multifractal measures in the segmentation of a video sequence image for object-oriented video coding through the generalized Renyi entropy. Grey-level sequence images are analyzed from the point of view of strange attractors. Multifractal feature maps are used to extract the features from the video sequence image. The nonuniform property of the image is reflected in the singularity spectrum and the Mandelbrot spectrum. Each video-object plane (VOP) specifies a particular image sequence content and the textures in the different contents can be separated because similar textures generally will have an homogeneous property which can be characterized by the singularity and Mandelbrot dimension of the fractal sets. Consequently, we can achieve not only image segmentation, but also a separation of the video-object layers (VOLs).

关键词： Fractals Video coding Image segmentation Histograms Layout Object oriented modeling Video sequences Video compression Image processing MPEG 4 Standard

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Generalized orthogonal subspace projection approach to multispectral image classification 4

Generalized orthogonal subspace projection approach to multi...

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Image and signal Processing for Remote Sensing IV 1998

作者： Ren, Hsuan Chang, Chein-I Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County 1000 Hilltop Circle BaltimoreMD21250 United States

ISBN: (纸本)9780819429599

Orthogonal subspace projection (OSP) has been successfully applied to hyperspectral image processing. In order for OSP to be effective, the number of bands must be no less than that of signatures to be classified so that there are sufficient dimensions to accommodate individual signatures to discriminate one another via orthogonal projection. This intrinsic constraint is not an issue for hyperspectral images since they generally have hundreds of bands which are more than the number of signatures resident within images. It, however, may not be true for multispectral images where the number of signatures to be classified is greater than the number of bands such as 3-band SPOT images. This paper presents a generalization of OSP, called generalized OSP (GOSP) to relax this constraint in such a fashion that OSP can be extended to multispectral image processing in an unsupervised fashion. The idea of GOSP is to create new additional band images nonlinearly from original multispectral images so as to achieve sufficient dimensionality prior to OSP classification. It is then followed by an unsupervised OSP classifier, called automatic target detection and classification algorithm (ATDCA) for classification. The effectiveness of the proposed GOSP is evaluated by a 3-band SPOT and a 4-band Landsat MSS images. The experimental results has shown that GOSP significantly improves the classification performance of OSP. © 1998 SPIE.

关键词： Landsat

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Progressive transmission of images through fractal surface interpolation

Progressive transmission of images through fractal surface i...

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Canadian Conference on electrical and computer engineering (CCECE)

This paper presents a progressive image transmission technique based on fractal surface interpolation (FSI). This technique is an extension of our previous work, and relies on the extraction and reconstruction of self-affine fractal surfaces with specified Hurst exponents, H/sup */. Fractional Brownian motion (fBm) through midpoint displacement (MPD) provides the basis for generating these surfaces between interpolation points. Progressive transmission is achieved by ordering increasing levels of detail within the FSI representation. This allows for quicker recognition of the transmitted or reconstructed image within the first 5 percent of the transmission process.

关键词： Fractals Interpolation Surface reconstruction Image reconstruction Brownian motion Image coding Data compression Laboratories Image communication Image recognition

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Sonar resolution-based environment mapping 15

Sonar resolution-based environment mapping

引用

15th IEEE International Conference on Robotics and Automation, ICRA 1998

作者： Cahut, Leyla Vlavanis, Kimon P. Delic, Hakan Robotics and Automation Laboratory Center for and Advanced Computer Studies University of Southwestern Louisiana LafayetteLA70504 United States Signal and Image Processing Laboratory Department of Electrical Engineering BogaziCi University Bebek 80815 Istanbul Turkey

ISBN: (纸本)078034300X

Ultrasonic range sensors are used to obtain the information required for collision-free navigation of a mobile robot in a semi-structured or unstructured environment. A set of range readings from a ring of sonars are correlated to acquire a 2D map of the robot's environment. The map is continuously enhanced via novel matching and update algorithms as new data are collected while the robot is in motion. The algorithm utilizes confidence measures that are directly obtained from the sonar's resolution or accuracy. There are no additional modeling assumptions and the approach is robust. The algorithms are experimentally tested on the Nomad 200 mobile robot and Nomad's Cognos Software Development Package. © 1998 IEEE.

关键词： Software testing

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Deconvolution of sensor array signals using scale transform properties

Deconvolution of sensor array signals using scale transform ...

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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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