For real-time radar processing, it is very desirable to have an algorithm that does not assume restricted statistics of the input data and can be implemented for high-speed processing (without a high cost) to meet rea...
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For real-time radar processing, it is very desirable to have an algorithm that does not assume restricted statistics of the input data and can be implemented for high-speed processing (without a high cost) to meet real-time requirements. We therefore apply the QR decomposition-based least-squares method for linear prediction to the problem of computing the reflection coefficients of a lattice predictor, instead of using the conventional Burg algorithm. We also propose a modified one-dimensional ring architecture for implementing the QR method of least-squares. The particular application considered in this case is that of surveillance radar systems for air traffic control.< >
This paper summarizes the results of two neural hardware implementations of a helicopter gearbox health monitoring system (HMS). Our first hybrid approach and implementation to fault diagnosis is outlined, and our res...
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This paper summarizes the results of two neural hardware implementations of a helicopter gearbox health monitoring system (HMS). Our first hybrid approach and implementation to fault diagnosis is outlined, and our results are summarized using three levels of fault characterization: fault detection (fault or no fault), classification (gear or bearing fault), and identification (fault sub-classes). Our second all-analog implementation exploits the ability, of analog neural hardware to compute the discrete Fourier transform (DFT) as a pre-processor to a neural classifier. Our hardware results compare well with previously published software simulations.< >
In this paper, results on limit cycle oscillations in floating-point implementations of recursive filters are reviewed. Special attention is paid to structures with a single floating-point nonlinearity in the recursiv...
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A class of linear-phase finite impulse response (FIR) digital filters for sampling rate conversion is introduced. These filters consist of two cascaded parts. The first part is a parallel connection of two or three br...
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The authors outline an edge-prediction-adjustment strategy for the detection of diffused edges using an image pyramid structure. An initial edge map is obtained from an appropriate high-level image of the pyramid usin...
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The authors outline an edge-prediction-adjustment strategy for the detection of diffused edges using an image pyramid structure. An initial edge map is obtained from an appropriate high-level image of the pyramid using a conventional edge detection method. Next, using a simple linear interpolation, the predicted edge map for the adjacent low-level image is determined. Based on the information of the predicted edges, edge adjustment is carried out using a sequential search in a small neighborhood of each of the predicted edges with the aid of a dynamic programming based method. Simulation results on both synthetic and medical images indicate that the performance of the proposed approach is much better than that of the commonly used differential of a Gaussian-based approach.< >
Results on limit cycle oscillations in floating-point implementations of recursive filters are reviewed. Special attention is paid to structures with a single floating-point nonlinearity in the recursive filter loop, ...
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Results on limit cycle oscillations in floating-point implementations of recursive filters are reviewed. Special attention is paid to structures with a single floating-point nonlinearity in the recursive filter loop, for which efficient criteria are proposed to guarantee the absence of limit cycles. Both unlimited exponent range limit cycles and underflow limit cycles are considered. Also results on wave digital filters and related structures are discussed.< >
A class of linear-phase finite impulse response (FIR) digital filters for sampling rate conversion is introduced. These filters consist of two cascaded parts. The first part is a parallel connection of two or three br...
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A class of linear-phase finite impulse response (FIR) digital filters for sampling rate conversion is introduced. These filters consist of two cascaded parts. The first part is a parallel connection of two or three branches with transfer function of the form A/sub k/(z)B/sub k/) (z/sup D/), where D is the sampling rate conversion ratio. The second part has a transfer function of the form C(z/sup D/). The advantage of these designs is that they provide a significant reduction in the multiplication and addition rates as well as in the number of required multipliers over the equivalent conventional direct-form designs also in cases where D is a prime number. In these cases, the sampling rate conversion cannot be performed in several stages and many of the other existing designs lose their advantages. Special multiplier-free solutions are generated for implementing the filters A/sub k/(z), resulting in dramatic savings. Several examples are included showing the efficiency of the proposed filters compared to other existing designs.< >
This paper describes a method for reducing the information contained in an image sequence, while retaining the information necessary for the interpretation of the sequence by a human observer. The method consists of f...
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This paper describes a method for reducing the information contained in an image sequence, while retaining the information necessary for the interpretation of the sequence by a human observer. The method consists of first locating the redundant information, reducing the degree of redundancy, and coding the result. The sequence is treated as a single 3-D data volume, the voxels of which are grouped into several regions, obtained by a 3-D split and merge algorithm. To find these regions, we first obtain an initial region space by splitting the image sequence until the gray-level variation over each region can be approximated by a 3-D polynomial, to a specified accuracy. This results in a set of parallelepipedic regions of various sizes. To represent the gray-level variation over these regions, the coefficients of the approximating polynomial are used as features. The most similar regions are then merged, using a region adjacency graph. The information is coded by representing the borders of the regions using a pyramidal structure in the x, y, t space. The coefficients of the approximating polynomials are coded in a straightforward manner. For 256 x 256 pixel, 25 frames/s image sequences, compressions allowing transmission rates near 64 kbit/s are obtained.
Conventional subband coding for image data compression uses two-dimensional (2-D) separable QMF banks in which the analysis and synthesis filters are composed of 1-D filters. Such an implementation produces a large si...
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The problem of defining an appropriate measure of the degree of nonstationarity for stochastic processes that exhibit cyclostationarity is addressed. After discussing several candidate measures of degree of nonstation...
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The problem of defining an appropriate measure of the degree of nonstationarity for stochastic processes that exhibit cyclostationarity is addressed. After discussing several candidate measures of degree of nonstationarity, one particularly promising measure is adopted. By decomposing this measure, several component measures are arrived at. Bounds on these measures are derived and their utility in applications involving signal detection and estimation is established. Examples are presented to illustrate the calculation of degrees of nonstationarity for several types of cyclostationary signals.
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