A new method is introduced to achieve partial shape recognition by means of a modified Hopfield neural network. Given a scene consisting of partially occluded objects, a model object in the scene is hypothesized by ma...
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A new method is introduced to achieve partial shape recognition by means of a modified Hopfield neural network. Given a scene consisting of partially occluded objects, a model object in the scene is hypothesized by matching the landmarks of the model with those in the scene. A local shape measure, known as the sphericity of a triangular transformation, is used as a measure of similarity between two landmarks. The hypothesis of a model object in a scene is completed by matching the model landmarks with the scene landmarks. The landmark matching task is performed by a modified Hopfield neural network. The location of the model in the scene is estimated with a least squares fit among the matched landmarks. A heuristic measure is then computed to decide if the model is in the scene.< >
The scheme consists of two levels of management. The front end of the scheme is a derivation of Kohonen's self-organization model to configure maps for the satellite communication network dynamically. The model co...
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The scheme consists of two levels of management. The front end of the scheme is a derivation of Kohonen's self-organization model to configure maps for the satellite communication network dynamically. The model consists of three stages. The first stage is the pattern recognition task, in which an exemplar map that best meets the current network requirements is selected. The second stage is the analysis of the discrepancy between the chosen exemplar map and the state of the network, and the adaptive modification of the chosen exemplar map to conform closely to the network requirement (input data pattern) by means of Kohonen's self-organization. On the basis of certain performance criteria, whether a new map is generated to replace the original chosen map is decided in the third stage. A state-dependent routing algorithm, which arranges the incoming call to some proper path, is used to make the network more efficient and to lower the call block rate.< >
The design of a CMOS VLSI chip to perform real-time iterative deconvolution is presented. A bit-level systolic array architecture for convolution, multiplication, and addition is used to implement the circuit. A brief...
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The design of a CMOS VLSI chip to perform real-time iterative deconvolution is presented. A bit-level systolic array architecture for convolution, multiplication, and addition is used to implement the circuit. A brief introduction to the iterative deconvolution problem is also given. Simulations done to data have shown that the systolic array portions of the chip will yield satisfactory throughput for millions of iterations per second.< >
The authors consider the integration problem of LAN/MAN traffic to WAN by ATM/SONET multiplexing. They propose separate buffers for voice and data to efficiently control the throughput of each traffic type. Transmissi...
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The authors consider the integration problem of LAN/MAN traffic to WAN by ATM/SONET multiplexing. They propose separate buffers for voice and data to efficiently control the throughput of each traffic type. Transmission bandwidth is dynamically and adaptively shared between voice and data to guarantee grade of service (GOS) requirements for each traffic type. The authors propose two algorithms for access policies; the (N/sub 1/,N/sub 2/) scheme and its adaptive variation. Their algorithms do not require the knowledge of arrival statistics. In the fact scheme, they can play with the tradeoff between delay and cell loss probability of each traffic type. In the second scheme, for most of the time and under normal network conditions, voice traffic has higher priority. Data traffic has higher priority when the number of data cells queued reaches a certain threshold. They show how the network performance is affected by several system parameters.< >
Results of combining the shape recognition method of N. Ansari and E.J. Delp (1989) and two motion estimation algorithms presented by R.Y. Tsai and T.S. Huary (1981, 1982) to perform motion and structure estimation of...
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Results of combining the shape recognition method of N. Ansari and E.J. Delp (1989) and two motion estimation algorithms presented by R.Y. Tsai and T.S. Huary (1981, 1982) to perform motion and structure estimation of a rigid planar object from landmark matching are presented. From all numerical experiments that have been tried, the recognition algorithm can handle the landmark matching tasks well if the object follows a relatively small rigid motion such that the normal of the object surface is not almost perpendicular to the optical axis. Due to the nonlinearity of the computation procedure of the combined algorithm and roundoff error generated by the computer, the estimated parameters deviate up to 10% from the predefined parameters. The combined algorithm is, however, convenient, inexpensive and not shaken by missing or extraneous landmarks in the second view as long as there are more than three landmark corresponding pairs.< >
A new method of bispectrum estimation by an AR (autoregressive) model has been proposed for a signal which is the output of a mixed-phase system driven by a non-Gaussian noise. This is achieved by relating the bispect...
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A new method of bispectrum estimation by an AR (autoregressive) model has been proposed for a signal which is the output of a mixed-phase system driven by a non-Gaussian noise. This is achieved by relating the bispectrum phase and magnitude to the system group delay functions. The maximum and minimum phase property of the group delay functions makes AR bispectrum estimation possible, since there exists a direct relation between the cepstral and AR coefficients. The proposed method uses only the bispectrum information and is applicable for moving average (MA) or AR or ARMA system with either mixed-phase poles or mixed-phase zeros or both. Unlike some of the existing methods, it uses all the bispectral information and does not involve any solution of a system of equations. The method has been illustrated for MA and ARMA systems using sample root mean square error as the performance index.< >
We consider a synchronized bufferless Clos ATM switch with input cell processor queues. The arrival process to each input port of the switch is assumed to be bursty and it is modeled by an Interrupted Bernoulli Proces...
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Recently, a very simple nonlinear algorithm, the so-called Teager's algorithm, has been introduced to calculate the energy of a one-dimensional sequence [1]. In this paper, this algorithm is extended to two-dimens...
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Stack filters are a class of sliding-window nonlinear digital filters that possess the weak superposition property (threshold decomposition) and the ordering property known as the stacking property. They have been dem...
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Stack filters are a class of sliding-window nonlinear digital filters that possess the weak superposition property (threshold decomposition) and the ordering property known as the stacking property. They have been demonstrated to be robust in suppressing noise. A new method based on the least means squares (LMS) algorithm is developed to adaptively configure a stack filter. Experimental results are presented to demonstrate the effectiveness of the proposed method to noise suppression.< >
作者:
A.K. OjhaD.B. KochCommunications
Information and Signal Processing (CISP) Group Department of Electrical and Computer Engineering University of Tennessee Knoxville TN USA
The authors investigate the performance of PN (pseudonoise) codes and complementary codes in an additive white Gaussian noise (AWGN) environment from a detection standpoint, and they provide a comparison of the perfor...
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The authors investigate the performance of PN (pseudonoise) codes and complementary codes in an additive white Gaussian noise (AWGN) environment from a detection standpoint, and they provide a comparison of the performance of these two coding methods in a pulsed radar context. A general method of choosing a cost function is proposed to compare the two coding schemes. Simulation results are presented which demonstrate that, for the AWGN channel model used, the complementary coded signals can provide improved performance over PN coded signals in practical pulsed radar systems.< >
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