The parallel realization of a popular dynamic time warping (DTW) algorithm is discussed. Two alternative techniques are proposed, one based on a circular array and the other using a linear array of processing elements...
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The parallel realization of a popular dynamic time warping (DTW) algorithm is discussed. Two alternative techniques are proposed, one based on a circular array and the other using a linear array of processing elements (PEs). The architecture of each PE is defined in both cases and computational phases are outlined. The number of PEs is not restricted to be fixed. With small modifications, both of the techniques can implement DTW with any number of PEs available. The performance of the new architectures is superior to that of architectures previously reported in the literature.< >
We show that for purely frequency modulated signals one can always find a distribution which is infinitely concentrated along its instantaneous frequency. For signals that are both frequency and amplitude modulated we...
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ISBN:
(纸本)0819404098
We show that for purely frequency modulated signals one can always find a distribution which is infinitely concentrated along its instantaneous frequency. For signals that are both frequency and amplitude modulated we consider a class of distribution which are explicit functionals of the instantaneous frequency. lated
Beam-based adaptive processing is an economical way to achieve good interference rejection performance from an adaptive receiving array, at much less computational cost than full element-based methods. However, to exp...
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ISBN:
(纸本)0819404098
Beam-based adaptive processing is an economical way to achieve good interference rejection performance from an adaptive receiving array, at much less computational cost than full element-based methods. However, to exploit this potential for planar arrays it is necessary to identify, in real time, which beams must be retained for adaptive concellation. This paper analyzes the beam-selection problem and presents a computationally efficient algorithm that performs real-time beam selection.
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 frequency versus timedelay (FVTD) technique is introduced to acquire unknown parameters of received chirp signals. This technique can precisely determine a single chirp clearly distinguish completely overlapped upch...
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ISBN:
(纸本)0819404098
A frequency versus timedelay (FVTD) technique is introduced to acquire unknown parameters of received chirp signals. This technique can precisely determine a single chirp clearly distinguish completely overlapped upchirp and downchirp and is also capable of realizing various overlapped multiple chirp signals. The basic implementation concept of this approach is relatively simple. We first employ a bank of bandpass filters to noncoherently process the incoming chirps. The filtered and sampled signals are then shifted into a set of frequency time and power distribution sequences which provide enough information for acquiring the unknown parameters of the received chirp signals. Examples and figures are used to illustrate this procedure.
In this paper we describe aspects of an ongoing program of work aimed at the practical realization of systolic array structures to implement digital adaptive beam-forming algorithms.
ISBN:
(纸本)0819406945
In this paper we describe aspects of an ongoing program of work aimed at the practical realization of systolic array structures to implement digital adaptive beam-forming algorithms.
Most real-world signals are non-Gaussian. If they were Gaussian then they could be completely characterized by their first- and second-order statistics, because the probability density function (p.d.f.) for a Gaussian...
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ISBN:
(纸本)0819404098
Most real-world signals are non-Gaussian. If they were Gaussian then they could be completely characterized by their first- and second-order statistics, because the probability density function (p.d.f.) for a Gaussian signal is completely described by these statistics. Because most real-world signals are not Gaussian, we need to use more than just first- and second-order statistics, i.e., we need to use "higher-order statistics." We could use higher-order moments, e.g., triplecorrelations, quadruple-correlations, etc., or we could use cumulants. Cumulants are related to higher-order moments, but do not necessarily always equal these moments. Reasons for preferring cumulants over moments are explained below.
We use the Wigner distribution to study pulse propagation in a dispersive media and we show that it leads naturally to a particle view. Using the results obtained we develop a simple approximation method that evolves ...
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ISBN:
(纸本)0819441880
We use the Wigner distribution to study pulse propagation in a dispersive media and we show that it leads naturally to a particle view. Using the results obtained we develop a simple approximation method that evolves a pulse in time.
In a very recent past, new techniques, referred to as time-scale methods and making use of the so-called wavelet transform, have been proposed for the analysis of nonstationary or time-varying signals. They are basica...
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ISBN:
(纸本)0819404098
In a very recent past, new techniques, referred to as time-scale methods and making use of the so-called wavelet transform, have been proposed for the analysis of nonstationary or time-varying signals. They are basically devoted to the description of signal time evolutions at different observation scales; this is achieved by using shifted and dilated versions of some elementary analyzing waveform along the time axis. The purpose of this paper is twofold: it is intended (1) to provide a brief overview of linear wavelet techniques (continuous and discrete transforms) and bilinear time-scale methods (time-scale energy distributions), and (2) to put them in some common perspective with existing signalprocessing tools (Gabor decompositions, constant-Q analysis, quadrature mirror filters, wideband ambiguity functions, time-frequency energy distributions). Existing or potentially relevant applications are also pointed out.
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