This paper describes a new digital reprogrammable architecture called Field Programmable On-line oPerators (FPOP). This architecture is a kind of FPGA dedicated to very low-power implementations of numerical algorithm...
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ISBN:
(纸本)0819432938
This paper describes a new digital reprogrammable architecture called Field Programmable On-line oPerators (FPOP). This architecture is a kind of FPGA dedicated to very low-power implementations of numerical algorithms in signalprocessing or digital control applications for embedded or portable systems. FPOP is based on a reprogrammable array of on-line arithmetic operators. On-line arithmetic is a digit-serial arithmetic with most significant digits first using a redundant number system. Because of the small size of the digit-serial operators and the small number of communication wires between the operators, single chip implementation of complex numerical algorithms can be achieved using on-line arithmetic. Furthermore, the digit-level pipeline and the small size of the arithmetic operators lead to high-performance parallel computations. Compared to a standard FPGA, the basic cells in FPOP are arithmetic operators such as adders, subtracters, multipliers, dividers, square-rooters, sine or cosine operators. This granularity level allows very efficient power x delay implementations of most algorithms used in digital control and signalprocessing. The circuit also integrates some analog to digital and digital to analog converters.
This paper presents modifications of the continuous Hopfield and Hartline-Ratliff networks for use in signal restoration and parameter estimation. The particular parameter estimation problem of interest is concerned w...
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ISBN:
(纸本)081940943X
This paper presents modifications of the continuous Hopfield and Hartline-Ratliff networks for use in signal restoration and parameter estimation. The particular parameter estimation problem of interest is concerned with the estimation of the directions of arrival of an unknown number of plane waves in unknown noise. Restoration of linearly distorted noisy images is considered as an example of regularized restoration of a signal with known dynamic range.
In this paper a novel method of estimating displacement of moving objects from one frame to the next in the image sequence is presented. This method is based on using the artificial neural networks for different model...
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ISBN:
(纸本)0819425842
In this paper a novel method of estimating displacement of moving objects from one frame to the next in the image sequence is presented. This method is based on using the artificial neural networks for different models of motion. The two model is examined: affine flow and planar surface motion. Various circuit architectures of simple neuron-like processors are considered for estimation of motion parameters. The efficiency of the proposed networks are investigated by computer simulation for using in video processing.
作者:
Rohrbaugh, RUSN
CTR SURFACE WARFAREADV SIGNAL PROC BRANCHBREMERTONWA 98314
Time-frequency methods are applied for bearing analysis of a motor-generator. We show that these methods reveal features that are not seen by traditional methods, such as the power spectrum. These features may be used...
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ISBN:
(纸本)0819422347
Time-frequency methods are applied for bearing analysis of a motor-generator. We show that these methods reveal features that are not seen by traditional methods, such as the power spectrum. These features may be used for detection of specific faults and as supplemental information to assess the condition of the machine.
In this paper we address the problem of implementing a Least Squares problem, like that arising in the adaptive beamforming case, on a multiprocessor network comprising of general purpose DSP processors. Although opti...
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ISBN:
(纸本)081940943X
In this paper we address the problem of implementing a Least Squares problem, like that arising in the adaptive beamforming case, on a multiprocessor network comprising of general purpose DSP processors. Although optimal array processors have been proposed for this problem, an implementation on a generalized network is a flexible and more modular and reconfigurable solution, suited for a highly dynamic environment with changing applications and problem sizes. The parallelization issues have been explored and a scheme for an efficient implementation has been described.
An on-chip VLSI architecture for computation of Fourier transforms is presented. It performs the arithmetic operations in a digit-level pipeline fashion. For this purpose, the implementation of arithmetic operators is...
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ISBN:
(纸本)0819412767
An on-chip VLSI architecture for computation of Fourier transforms is presented. It performs the arithmetic operations in a digit-level pipeline fashion. For this purpose, the implementation of arithmetic operators is based on on-line (i.e., digit-serial and most significant digit first) arithmetic, and the transforms are performed by a parallel-pipeline version of the Cooley- Tukey fast Fourier transform (FFT) algorithm.
A general overview of the definition and properties of the recently defined Wigner higher order moment spectra (WHOS) is given in this paper. It is shown how the properties satisfied by WHOS are the extension of the w...
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ISBN:
(纸本)081940943X
A general overview of the definition and properties of the recently defined Wigner higher order moment spectra (WHOS) is given in this paper. It is shown how the properties satisfied by WHOS are the extension of the well known properties of the Wigner-Ville distribution to a higher-order domain. In addition, a general class formulation, the discrete implementation, a comparison with a cumulant-based definition, the reduced interference condition, and tone application also are discussed.
This paper derives the relationship between the coefficients of the Fourier expansion of a periodic signal and the coefficients of the wavelet expansion of the same signal. The formula derived shows how the Fourier co...
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ISBN:
(纸本)0819404098
This paper derives the relationship between the coefficients of the Fourier expansion of a periodic signal and the coefficients of the wavelet expansion of the same signal. The formula derived shows how the Fourier concept of frequency and the wavelet concept of scale are related and how the wavelet coefficients display the information contained in the signal in a new way. The relationship also shows how the wavelet expansion can be used to approximately calculate the Fourier coefficients.
A new approach for signal extrapolation based on wavelet representation known as scale-time limited extrapolation and a denoising process is investigated in this research. We first examine a new signal modeling techni...
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ISBN:
(纸本)0819412767
A new approach for signal extrapolation based on wavelet representation known as scale-time limited extrapolation and a denoising process is investigated in this research. We first examine a new signal modeling technique using wavelets and the corresponding scale-time limited signal extrapolation algorithm. Then, the sensitivity of the algorithm to noise is discussed, and a denoising algorithm based on the time-localization property of the wavelet transform is proposed. By integrating the denoising process and the iterative scale-time limited extrapolation algorithm, we obtain a very robust signal extrapolation algorithm for noisy data. A simulation result of signal extrapolation from noisy observed data is presented to illustrate the performance of the proposed robust signal extrapolation algorithm.
The use of wireless personal communication networks (PCN) to increase the capacity of cellular radio systems is a topic currently receiving much attention. In addition to the increase in capacity one achieves by going...
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ISBN:
(纸本)081940943X
The use of wireless personal communication networks (PCN) to increase the capacity of cellular radio systems is a topic currently receiving much attention. In addition to the increase in capacity one achieves by going to a microcellular system, one can increase the spectral efficiency even further by allowing the PCN to overlay a frequency band which is already occupied with narrowband waveforms. Various signalprocessing techniques can be used advantageously in this regard, and such techniques are outlined below.
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