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Statistical Signal Processing978-1-4471-0139-0Series ISSN 1439-2232 Series E-ISSN 2510-3814合唱队 发表于 2025-3-22 09:33:17
Non-linear Transforms of Processes,tained in the context of filtering. In fact, studying these relations must generally be done case by case. Here, we present some simple examples of memoryless non-linear transforms that we encounter commonly in the fields of electronics and telecommunications.Synapse 发表于 2025-3-22 15:46:27
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Non-parametric Spectral Estimation,ce coefficients are not known exactly but are only estimated. Here, we address the problem of non-parametric estimation of these coefficients, hence that of non-parametric spectral estimation by means of the periodogram estimator.昏迷状态 发表于 2025-3-22 22:15:36
Parametric Spectral Estimation,y a small number of autocovariance coefficients of the process being studied are available from the observation. In such situations, parametric spectral estimation techniques are often preferred, and in particular techniques involving rational spectra models.痛苦一下 发表于 2025-3-23 04:05:34
Bayesian Methods and Simulation Techniques,or this, we use a Bayesian approach, which allows possible . information about the desired parameters to be incorporated. In order to be able to perform the numerical computation of the estimators, we use Monte Carlo techniques to solve integration and maximisation problems that appear in Bayesian estimation.胆小鬼 发表于 2025-3-23 06:16:02
Random Processes,. In this chapter, we recall some notions relating to random processes, looking more particularly at second order properties of processes.