Echo Signal Processing

Ricker, Dennis W.

doi:10.1007/978-1-4615-0312-5

Cited by 83 publications

(83 citation statements)

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“…In cases where a priori knowledge about the signals is available, it may be better to use parametric methods to obtain better spectral estimates even when it is not easy or feasible to obtain large data set [2].In this chapter, the most common terms used in spectral analysis of the power systems, parametric and nonparametric spectral analysis methods, spectrogram representations for synthetic power signals will be introduced along with their advantages and disadvantages. The energy spectral density [8], [19] describes how the energy of a signals or a time series is distributed withf(ω)frequency.The energy spectral density of the signals is the square of the magnitude of the Fourier transform of the signals [8].…”

Section: Parametric Methods Of Psd Estimation and Spectrogram Rementioning

confidence: 99%

Spectral Analysis of Synthetic Power Signals of Different Regions Using Parametric Methods and Spectrogram Representations

Islam¹,

Shahnaz²,

Hoque³

et al. 2014

IOSRJEEE

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Section: Parametric Methods Of Psd Estimation and Spectrogram Rementioning

confidence: 99%

Spectral Analysis of Synthetic Power Signals of Different Regions Using Parametric Methods and Spectrogram Representations

Islam¹,

Shahnaz²,

Hoque³

et al. 2014

IOSRJEEE

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“…In a conventional radar system, the radar ambiguity function (AF) is a common tool for investigating radar signals [18,19,20,21] nominal values for which the matched filter has been designed. The AF can be expressed as…”

Section: Review Of the Conventional Ambiguity Functionmentioning

confidence: 99%

Performance Analysis of Phased Array and Frequency Diverse Array Radar Ambiguity Functions

Nusenu¹

2017

Adv. sci. technol. eng. syst. j.

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Radar ambiguity function is widely employed to analyze a radar system's time delay (range) resolution, Doppler frequency (range rate) resolution, mainlobe width and sidelobes in both range and Doppler. In this paper, ambiguity functions of frequency diverse array (FDA) which offers range-angle dependent transmit beampattern and Phased array which yields angle transmit beampattern is investigated. The FDA and Phased array radar ambiguity function is derived and evaluate its performance characteristics in terms of time-delay and Doppler frequency resolutions. Performance analysis has also been done in terms of empirical cumulative distribution function (ECDF). Simulation and results have verified the effectiveness of both radar systems by comparing their performance characteristics.

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“…If the measurement noise is completely unknown, bounds on the initial guess of σ 2 ε can be established. By the Wiener-Khintchine theorem (WKT) the denominator in (19) is non-negative and a real quantity [30] and…”

Section: Estimation Of Spatial Mixing Kernelmentioning

confidence: 99%

Estimation of the mixing kernel and the disturbance covariance in IDE-based spatiotemporal systems

Aram

Freestone

2016

Signal Processing

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The integro-difference equation (IDE) is an increasingly popular mathematical model of spatiotemporal processes, such as brain dynamics, weather systems, disease spread and others. We present an efficient approach for system identification based on correlation techniques for linear temporal systems that extended to spatiotemporal IDE-based models. The method is derived from the average (over time) spatial correlations of observations to calculate closed-form estimates of the spatial mixing kernel and the disturbance covariance function. Synthetic data are used to demonstrate the performance of the estimation algorithm.

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Echo Signal Processing

Abstract: Echo Signal Processing / Oennis W. Ricker. p.em. -(The Kll1\\'cr International Series in Engineering and Computer Science; SECS 725) Includes bibliographical references and index.

Cited by 83 publications

References 0 publications

Spectral Analysis of Synthetic Power Signals of Different Regions Using Parametric Methods and Spectrogram Representations

Spectral Analysis of Synthetic Power Signals of Different Regions Using Parametric Methods and Spectrogram Representations

Performance Analysis of Phased Array and Frequency Diverse Array Radar Ambiguity Functions

Estimation of the mixing kernel and the disturbance covariance in IDE-based spatiotemporal systems

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