標題: Titlebook: Coherence; In Signal Processing David Ramírez,Ignacio Santamaría,Louis Scharf Book 2022 The Editor(s) (if applicable) and The Author(s), un [打印本頁] 作者: metabolism 時間: 2025-3-21 18:10
書目名稱Coherence影響因子(影響力)
書目名稱Coherence影響因子(影響力)學(xué)科排名
書目名稱Coherence網(wǎng)絡(luò)公開度
書目名稱Coherence網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Coherence被引頻次
書目名稱Coherence被引頻次學(xué)科排名
書目名稱Coherence年度引用
書目名稱Coherence年度引用學(xué)科排名
書目名稱Coherence讀者反饋
書目名稱Coherence讀者反饋學(xué)科排名
作者: peritonitis 時間: 2025-3-21 22:15 作者: FECK 時間: 2025-3-22 00:34
Coherence, Classical Correlations, and their Invariances,principal angles and with canonical correlations. The study of factorizations of two-channel covariance matrices leads to filtering formulas for MMSE filters and their error covariances. When covariance matrices are estimated from measurements, then the filter and error covariance are random matrice作者: HERTZ 時間: 2025-3-22 06:52 作者: 傻 時間: 2025-3-22 09:42 作者: Pudendal-Nerve 時間: 2025-3-22 16:15
Adaptive Subspace Detectors,n noise covariance matrices by constructing covariance estimates from a secondary channel of signal-free measurements. Then the Kelly and Should we say ACE (adaptive coherence estimator) detectors, and their generalizations, are derived as generalized likelihood ratio detectors. These detectors use 作者: Pudendal-Nerve 時間: 2025-3-22 19:36
Two-Channel Matched Subspace Detectors,n. We study second-order detectors where the unknown transmitted signal is modeled as a zero-mean Gaussian and averaged out or marginalized and first-order detectors where the unknown transmitted signal appears in the mean of the observations with no prior distribution assigned to it. The signal sub作者: Admire 時間: 2025-3-22 21:18 作者: 刻苦讀書 時間: 2025-3-23 02:13 作者: GROVE 時間: 2025-3-23 08:07
Performance Bounds and Uncertainty Quantification,e Cramér-Rao bound for parameters that are carried in the mean value or the covariance matrix of a MVN model. Coherence arises naturally. A concluding section on information geometry ties the Cramér-Rao bound on error covariance to the resolvability of the underlying probability distribution from wh作者: 注意力集中 時間: 2025-3-23 12:09
Variations on Coherence,rnel methods, and time-frequency modeling. The concept of coherence in compressed sensing and matrix completion is made clear by the restricted isometry property and the concept of coherence index, which are discussed in the chapter. We also consider in this chapter multiview learning, in which the 作者: panorama 時間: 2025-3-23 17:56
Epilogue,it might appear, for likelihood in the MVN model actually leads to the optimization of functions that depend on sums and products of eigenvalues, which are themselves data dependent. Moreover, it is often the case that there is an illuminating Euclidean or Hilbert space geometry. Perhaps it is the g作者: 招惹 時間: 2025-3-23 20:09
Spectral Properties and Regularity,itten as a broadband coherence, with a new definition for broadband coherence. Additionally, this chapter also addresses the problem of testing for block-structured covariance, when the block structure is patterned to model cyclostationarity. Spectral formulas establish the connection with the cyclic spectrum of a cyclostationary time series.作者: 遠地點 時間: 2025-3-24 01:48
Fractional Integrals and Semigroups,ry, may provide a way to address vexing problems in signal processing and machine learning, especially when there is no theoretical basis for assigning a distribution to data. This suggestion is developed in more detail in the concluding epilogue to the book.作者: 放縱 時間: 2025-3-24 02:52
Detection of Spatially Correlated Time Series,itten as a broadband coherence, with a new definition for broadband coherence. Additionally, this chapter also addresses the problem of testing for block-structured covariance, when the block structure is patterned to model cyclostationarity. Spectral formulas establish the connection with the cyclic spectrum of a cyclostationary time series.作者: GROWL 時間: 2025-3-24 09:09
Epilogue,ry, may provide a way to address vexing problems in signal processing and machine learning, especially when there is no theoretical basis for assigning a distribution to data. This suggestion is developed in more detail in the concluding epilogue to the book.作者: 不來 時間: 2025-3-24 11:02
Some Nonlinear Evolution Equations,imension of the measurement space is reduced, under a constraint that distances or dissimilarities between high-dimensional measurements are preserved or approximated in a measurement space of lower dimension.作者: Scleroderma 時間: 2025-3-24 15:52 作者: 劇毒 時間: 2025-3-24 22:43
Spectral Properties and Regularity,oises. For each noise and signal model, the invariances of the hypothesis testing problem and its GLR are established. Maximum likelihood estimation of unknown signal and noise parameters leads to a variety of coherence statistics.作者: Chipmunk 時間: 2025-3-25 00:37
Spectral Properties and Regularity,ing the eigenvalues of an average of projection matrices, while the corresponding eigenvectors form a basis for the central subspace. We discuss applications of subspace averaging to subspace clustering and to source enumeration in array processing.作者: concentrate 時間: 2025-3-25 05:09
Least Squares and Related,imension of the measurement space is reduced, under a constraint that distances or dissimilarities between high-dimensional measurements are preserved or approximated in a measurement space of lower dimension.作者: 蚊帳 時間: 2025-3-25 08:13 作者: 預(yù)定 時間: 2025-3-25 12:45
Two-Channel Matched Subspace Detectors,oises. For each noise and signal model, the invariances of the hypothesis testing problem and its GLR are established. Maximum likelihood estimation of unknown signal and noise parameters leads to a variety of coherence statistics.作者: 水汽 時間: 2025-3-25 19:42
Subspace Averaging and its Applications,ing the eigenvalues of an average of projection matrices, while the corresponding eigenvectors form a basis for the central subspace. We discuss applications of subspace averaging to subspace clustering and to source enumeration in array processing.作者: 黃瓜 時間: 2025-3-25 20:33 作者: eardrum 時間: 2025-3-26 03:44 作者: Palliation 時間: 2025-3-26 07:51 作者: 否決 時間: 2025-3-26 09:38 作者: 染色體 時間: 2025-3-26 13:13 作者: 變異 時間: 2025-3-26 20:09 作者: 極肥胖 時間: 2025-3-27 00:24 作者: Overstate 時間: 2025-3-27 01:36 作者: Simulate 時間: 2025-3-27 07:38
Some Nonlinear Evolution Equations,s whether or not the covariance matrices of independent vector-valued MVN models are equal. The chapter concludes with a discussion of the expected likelihood principle for cross-validating a covariance model.作者: 滔滔不絕地講 時間: 2025-3-27 12:39
Alfonso Castro,Ratnasingham Shivajilized versions of CCA (KCCA) and the LMS adaptive filtering algorithm (KLMS). The chapter concludes with a discussion of a complex time-frequency distribution based on the coherence between a time series and its Fourier transform.作者: incubus 時間: 2025-3-27 17:34
Introduction,so serves to justify the use of complex signals, which will be extensive throughout the book, as well as to present the problem of extracting information from a multi-sensor array of series analysis that motivates our interest in coherence.作者: 狂熱語言 時間: 2025-3-27 20:14
Coherence and Classical Tests in the Multivariate Normal Model,s whether or not the covariance matrices of independent vector-valued MVN models are equal. The chapter concludes with a discussion of the expected likelihood principle for cross-validating a covariance model.作者: Hirsutism 時間: 2025-3-28 01:31 作者: 做作 時間: 2025-3-28 02:11 作者: 混合 時間: 2025-3-28 06:21
Performance Bounds and Uncertainty Quantification,e Cramér-Rao bound for parameters that are carried in the mean value or the covariance matrix of a MVN model. Coherence arises naturally. A concluding section on information geometry ties the Cramér-Rao bound on error covariance to the resolvability of the underlying probability distribution from which measurements are drawn.作者: Toxoid-Vaccines 時間: 2025-3-28 11:19 作者: Instantaneous 時間: 2025-3-28 14:58
Some Nonlinear Evolution Equations,del, model order determination, and total least squares. A section on oblique projections addresses the problem of resolving a few modes in the presence of many. Sections on multidimensional scaling and the Johnson-Lindenstrauss lemma introduce two topics in ambient dimension reduction that are loos作者: 灌溉 時間: 2025-3-28 21:46
Spectral Properties and Regularity,principal angles and with canonical correlations. The study of factorizations of two-channel covariance matrices leads to filtering formulas for MMSE filters and their error covariances. When covariance matrices are estimated from measurements, then the filter and error covariance are random matrice作者: Arboreal 時間: 2025-3-29 01:54 作者: offense 時間: 2025-3-29 05:38
https://doi.org/10.1007/978-1-4612-5561-1on. The probability distribution for the measurements may carry the signal in a parameterization of the mean or in a parameterization of the covariance matrix. Likelihood ratio detectors are derived, their invariances are revealed, and their null distributions are derived where tractable. The result作者: 樹上結(jié)蜜糖 時間: 2025-3-29 09:16
Spectral Properties and Regularity,n noise covariance matrices by constructing covariance estimates from a secondary channel of signal-free measurements. Then the Kelly and Should we say ACE (adaptive coherence estimator) detectors, and their generalizations, are derived as generalized likelihood ratio detectors. These detectors use 作者: ERUPT 時間: 2025-3-29 14:13
Spectral Properties and Regularity,n. We study second-order detectors where the unknown transmitted signal is modeled as a zero-mean Gaussian and averaged out or marginalized and first-order detectors where the unknown transmitted signal appears in the mean of the observations with no prior distribution assigned to it. The signal sub作者: 極力證明 時間: 2025-3-29 18:29 作者: alabaster 時間: 2025-3-29 21:30
Spectral Properties and Regularity,ween pairs of subspaces. In this chapter, we first review the geometry of the Grassmann and Stiefel manifolds, in which .-dimensional subspaces and .-dimensional frames live, respectively. Then, we assign probability distributions to these manifolds. We pay particular attention to the problem of sub作者: lambaste 時間: 2025-3-30 01:01 作者: fertilizer 時間: 2025-3-30 05:59
Alfonso Castro,Ratnasingham Shivajirnel methods, and time-frequency modeling. The concept of coherence in compressed sensing and matrix completion is made clear by the restricted isometry property and the concept of coherence index, which are discussed in the chapter. We also consider in this chapter multiview learning, in which the 作者: 錯 時間: 2025-3-30 10:52
