標(biāo)題: Titlebook: Wavelets and Statistics; Anestis Antoniadis,Georges Oppenheim Book 1995 Springer-Verlag New York 1995 Gaussian process.Hypothese.Markov ra [打印本頁] 作者: 管玄樂團 時間: 2025-3-21 19:45
書目名稱Wavelets and Statistics影響因子(影響力)
書目名稱Wavelets and Statistics影響因子(影響力)學(xué)科排名
書目名稱Wavelets and Statistics網(wǎng)絡(luò)公開度
書目名稱Wavelets and Statistics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Wavelets and Statistics被引頻次
書目名稱Wavelets and Statistics被引頻次學(xué)科排名
書目名稱Wavelets and Statistics年度引用
書目名稱Wavelets and Statistics年度引用學(xué)科排名
書目名稱Wavelets and Statistics讀者反饋
書目名稱Wavelets and Statistics讀者反饋學(xué)科排名
作者: forager 時間: 2025-3-21 21:57 作者: instructive 時間: 2025-3-22 03:53
Thresholding of Wavelet Coefficients as Multiple Hypotheses Testing Procedure,t coefficients among those chosen for the wavelet reconstruction. The resulting procedure is inherently adaptive, and responds to the complexity of the estimated function. Finally, comparing the proposed FDR-threshold with that fixed global of Donoho and Johnstone by evaluating the relative Mean-Squ作者: Mumble 時間: 2025-3-22 08:25
Thresholding of Wavelet Coefficients as Multiple Hypotheses Testing Procedure,t coefficients among those chosen for the wavelet reconstruction. The resulting procedure is inherently adaptive, and responds to the complexity of the estimated function. Finally, comparing the proposed FDR-threshold with that fixed global of Donoho and Johnstone by evaluating the relative Mean-Squ作者: 玷污 時間: 2025-3-22 10:54
Translation-Invariant De-Noising,-noising using the undecimated or stationary wavelet transform..Cycle-spinning exhibits benefits outside of wavelet de-noising, for example in cosine packet denoising, where it helps suppress ‘clicks’. It also has a counterpart in frequency domain de-noising, where the goal of translation-invariance作者: Itinerant 時間: 2025-3-22 14:03
Translation-Invariant De-Noising,-noising using the undecimated or stationary wavelet transform..Cycle-spinning exhibits benefits outside of wavelet de-noising, for example in cosine packet denoising, where it helps suppress ‘clicks’. It also has a counterpart in frequency domain de-noising, where the goal of translation-invariance作者: Projection 時間: 2025-3-22 18:52
Wavelet Thresholding: Beyond the Gaussian I.I.D. Situation,matically adapts to possibly different degrees of regularity for the different directions. The resulting fully-adaptive spectral estimator attains the rate that is optimal in the idealized Gaussian white noise model up to a logarithmic factor.作者: thwart 時間: 2025-3-22 22:47
Wavelet Thresholding: Beyond the Gaussian I.I.D. Situation,matically adapts to possibly different degrees of regularity for the different directions. The resulting fully-adaptive spectral estimator attains the rate that is optimal in the idealized Gaussian white noise model up to a logarithmic factor.作者: 把…比做 時間: 2025-3-23 04:44
Book 1995his volume reflects the broad spectrum of the conference. as it includes 21 articles contributed by specialists in various areas in this field. The material compiled is fairly wide in scope and ranges from the development of new tools for non parametric curve estimation to applied problems, such as 作者: demote 時間: 2025-3-23 09:31 作者: 脊椎動物 時間: 2025-3-23 12:06 作者: ASSAY 時間: 2025-3-23 16:16
Paulo Oliveira,Charles Suquethe design, implementation, deployment, and evaluation of middleware, operating systems, and applications for computing and communications in mobile wireless sys978-3-642-01801-5978-3-642-01802-2Series ISSN 1867-8211 Series E-ISSN 1867-822X 作者: indemnify 時間: 2025-3-23 19:15
0930-0325 ld. The material compiled is fairly wide in scope and ranges from the development of new tools for non parametric curve estimation to applied problems, such as 978-0-387-94564-4978-1-4612-2544-7Series ISSN 0930-0325 Series E-ISSN 2197-7186 作者: 配置 時間: 2025-3-24 00:38
searchers have reported successfuldevelopments with leg-based mobile robots capable of climbing upstairs, although they require further investigation. The research workpresented here focuses on wheel-based mobile robots that navigate inhuman-made indoor environments. .The main problems described throughout th978-1-4613-6982-0978-1-4615-4405-0作者: PLAYS 時間: 2025-3-24 05:11 作者: indecipherable 時間: 2025-3-24 07:20
Patrice Abry,Paulo Gon?alvès,Patrick Flandrin the conference and gives detailed recommendations for future research. This summary is included at the end of the book. The summary i"nc1udes highlights of data presented, areas of research needs, recommendations for standardization of test parameters and species analyzed, suggested new methodology作者: persistence 時間: 2025-3-24 13:40 作者: Recess 時間: 2025-3-24 18:33 作者: tattle 時間: 2025-3-24 22:29
Bernard Delyon,Anatoli Juditsky Put together a high-quality workshop program consisting of a few focused wo- shops that would provide ample time for discussion, thus enabling presenters to quickly advance their work and workshop attendees to quickly get an idea of - going work in selected research areas. 2. Provide a more complet作者: 大雨 時間: 2025-3-25 01:08
Jacques Istastellite Personal Communications Networks (SPCNs) are now expected to grow very fast, even beyond the most optimistic forecast: their unique feature to establish ex abrupto a world-wide communication fabric is certainly the winning card. Market analyses now indicate that LEO networks already planned 作者: 預(yù)感 時間: 2025-3-25 04:42
Maurits Malfait,Dirk Rooseices to wireless devices such as cellular phones, Personal Digital Assistants (PDAs) and notebooks. Mobile and wireless Internet c:an give users access to personalized information anytime and anywhere they need it, and thus empower them to make decisions more quickly, and bring them closer to friend作者: 允許 時間: 2025-3-25 08:25
G. P. Nasonrtschaftlichkeitsanalyse zeigt er schlie?lich, unter welchen Voraussetzungen sich Investitionen in mobile qualifizierte elektronische Signaturen für Mobilfunkanbieter und Zertifizierungsdienstleister rechtfertigen lassen..978-3-8349-1318-0978-3-8349-8182-0Series ISSN 2512-6997 Series E-ISSN 2512-7004 作者: SUGAR 時間: 2025-3-25 12:17 作者: notice 時間: 2025-3-25 17:19 作者: podiatrist 時間: 2025-3-25 22:26
978-0-387-94564-4Springer-Verlag New York 1995作者: Progesterone 時間: 2025-3-26 01:11 作者: instructive 時間: 2025-3-26 05:31 作者: 透明 時間: 2025-3-26 09:18
Locally Self Similar Gaussian Processes,of medical images. In this lecture, we first describe the class of Self Similar Gaussian Processes (SSGP) and give (in one dimension) a multiresolution analysis of the Fractional Brownian Motion of index.(.). We then enlarge the SSGP setting to the elliptic gaussian processes setting.作者: 貧困 時間: 2025-3-26 13:00
Nonparametric Supervised Image Segmentation by Energy Minimization using Wavelets,jected onto a wavelet basis. We assume a white noise model on the observed image. The aim of this paper is to study the asymptotic behavior of non-parametric estimators of the boundary when the number of pixels grows to infinity.作者: 出血 時間: 2025-3-26 20:41 作者: Indict 時間: 2025-3-27 00:45
Micronde: a Matlab Wavelet Toolbox for Signals and Images,nization are described and its use both in command line and interface mode are illustrated. Real or synthetic signals as well as images are used to present wavelet-based analysis, de-noising and compression.作者: MARS 時間: 2025-3-27 03:00 作者: iodides 時間: 2025-3-27 08:29
,,(0,1) Weak Convergence of the Empirical Process for Dependent Variables,obtain a general tightness condition. In the strong mixing case, this allows us to improve on the well known result of Yoshihara (of course for the. . continuous functionals). In the same spirit, we give also an application to associated variables which improves a recent result of Yu. Some statistical applications are presented.作者: Exonerate 時間: 2025-3-27 10:12 作者: conception 時間: 2025-3-27 14:16
0930-0325 nalysis, signal processing, probability theory and statistics. The abundance of intriguing and useful features enjoyed by wavelet and wavelet packed transforms has led to their application to a wide range of statistical and signal processing problems. On November 16-18, 1994, a conference on Wavelet作者: 集中營 時間: 2025-3-27 19:10
Thresholding of Wavelet Coefficients as Multiple Hypotheses Testing Procedure,oefficients for further reconstruction of de-noised signal plays a key-role in the wavelet decomposition/reconstruction procedure. [DJ1] proposed a global threshold. and showed that such a threshold . reduces the expected risk of the corresponding wavelet estimator close to the possible minimum. To 作者: integrated 時間: 2025-3-27 22:44 作者: epidermis 時間: 2025-3-28 02:45 作者: 旋轉(zhuǎn)一周 時間: 2025-3-28 08:16
Wavelets, spectrum analysis and 1/, processes, the revisiting of classical spectral estimators from a time-frequency perspective allows to define different wavelet-based generalizations which are proved to be statistically and computationally efficient. Discretization issues (in time and scale) are discussed in some detail, theoretical claims a作者: enmesh 時間: 2025-3-28 10:27
Variance Function Estimation in Regression by Wavelet Methods,riance function in heteroscedastic multiple linear regression problems. The variance function is recovered by means of a smoothing nonparametric method, based on wavelet decompositions. The proposed method does not require preliminary or simultaneous estimation of the mean function. The resulting wa作者: 顯而易見 時間: 2025-3-28 15:25 作者: chassis 時間: 2025-3-28 22:27 作者: Commemorate 時間: 2025-3-29 01:29
Locally Self Similar Gaussian Processes,of medical images. In this lecture, we first describe the class of Self Similar Gaussian Processes (SSGP) and give (in one dimension) a multiresolution analysis of the Fractional Brownian Motion of index.(.). We then enlarge the SSGP setting to the elliptic gaussian processes setting.作者: DEI 時間: 2025-3-29 06:13
WaveLab and Reproducible Research,sions are provided for Macintosh, UNIX and Windows machines... makes available, in one package, all the code to reproduce all the figures in our published wavelet articles. The interested reader can inspect the source code to see exactly what algorithms were used, how parameters were set in producin作者: CRACK 時間: 2025-3-29 09:43 作者: Trochlea 時間: 2025-3-29 14:39 作者: 騷擾 時間: 2025-3-29 17:00
Extrema Reconstructions and Spline Smoothing: Variations on an Algorithm of Mallat & Zhong, These authors construct an approximation of the wavelet transform of the signal via an alternate projection iteration procedure and they obtain an approximation of the original signal by inverting the approximate wavelet transform. We explain how to solve the same problem by directly constructing t作者: 卵石 時間: 2025-3-29 22:03
Identification of Chirps with Continuous Wavelet Transform,resentations such as wavelet representations are well adapted to the characterization problem of such chirps. Ridges in the modulus of the transform determine regions in the transform domain with a high concentration of energy, and are regarded as natural candidates for the characterization and the 作者: CHASE 時間: 2025-3-30 02:14 作者: 灰姑娘 時間: 2025-3-30 07:32 作者: 爭吵加 時間: 2025-3-30 09:25 作者: CHAFE 時間: 2025-3-30 16:20 作者: 圖表證明 時間: 2025-3-30 17:39
Translation-Invariant De-Noising,r example, Gibbs phenomena in the neighborhood of discontinuities—to the lack of translation invariance of the wavelet basis. One method to suppress such artifacts, termed “cycle spinning” by Coifman, is to “average out” the translation dependence. For a range of shifts, one shifts the data (right o作者: Breach 時間: 2025-3-30 22:20
Estimating Wavelet Coefficients,studied for three types of observation design: the regular design, when the observations.(x.) are taken on the regular grid . the case of jittered regular grid, when it is only known that for all . the random design case: .are independent and identically distributed random variables on [0,1]. We sho作者: Immortal 時間: 2025-3-31 02:17 作者: 溝通 時間: 2025-3-31 05:11
Nonparametric Supervised Image Segmentation by Energy Minimization using Wavelets,jected onto a wavelet basis. We assume a white noise model on the observed image. The aim of this paper is to study the asymptotic behavior of non-parametric estimators of the boundary when the number of pixels grows to infinity.作者: 我邪惡 時間: 2025-3-31 11:03
Nonparametric Supervised Image Segmentation by Energy Minimization using Wavelets,jected onto a wavelet basis. We assume a white noise model on the observed image. The aim of this paper is to study the asymptotic behavior of non-parametric estimators of the boundary when the number of pixels grows to infinity.作者: Amplify 時間: 2025-3-31 16:33 作者: Semblance 時間: 2025-3-31 19:19
On the Statistics of Best Bases Criteria,e criteria for best bases representation are random variables. The search may thus be very sensitive to noise. In this paper, we characterize the asymptotic statistics of the criteria to gain insight which can in turn, be used to improve on the performance of the analysis. By way of a well-known inf作者: 表被動 時間: 2025-4-1 01:19
Discretized Wavelet Density Estimators for Continuous Time Stochastic Processes,ch are satisfied for rather general diffusion processes, the. . error of the linear wavelet estimator of. constructed from the observation . converges with the rate . when . In this work we study two discretized versions of this estimator, constructed from the dicrete observations . We show that the作者: 表示向前 時間: 2025-4-1 05:53
Discretized Wavelet Density Estimators for Continuous Time Stochastic Processes,ch are satisfied for rather general diffusion processes, the. . error of the linear wavelet estimator of. constructed from the observation . converges with the rate . when . In this work we study two discretized versions of this estimator, constructed from the dicrete observations . We show that the作者: 離開 時間: 2025-4-1 07:24 作者: amplitude 時間: 2025-4-1 10:47 作者: 爵士樂 時間: 2025-4-1 16:51 作者: Acupressure 時間: 2025-4-1 20:57 作者: maudtin 時間: 2025-4-2 02:42
Choice of the Threshold Parameter in Wavelet Function Estimation, data. The choice of threshold is crucial to the success of the method and is currently subject to an intense research effort. We describe how we have applied the statistical technique of cross-validation to choose a threshold and we present results that indicate that its performance for correlated 作者: 惡意 時間: 2025-4-2 03:29
Choice of the Threshold Parameter in Wavelet Function Estimation, data. The choice of threshold is crucial to the success of the method and is currently subject to an intense research effort. We describe how we have applied the statistical technique of cross-validation to choose a threshold and we present results that indicate that its performance for correlated 作者: 夜晚 時間: 2025-4-2 08:23
The Stationary Wavelet Transform and some Statistical Applications,useful subsequently in the paper. A ‘stationary wavelet transform’, where the coefficient sequences are not decimated at each stage, is described. Two different approaches to the construction of an inverse of the stationary wavelet transform are set out. The application of the stationary wavelet tra作者: OWL 時間: 2025-4-2 11:57 作者: STELL 時間: 2025-4-2 18:05
Wavelet Thresholding: Beyond the Gaussian I.I.D. Situation, of these applications are based on. of the empirical coefficients. For regression and density estimation with independent observations, we establish joint asymptotic normality of the empirical coefficients by means of strong approximations. Then we describe how one can prove asymptotic normality un作者: MUTE 時間: 2025-4-2 20:36 作者: opportune 時間: 2025-4-3 00:48
,,(0,1) Weak Convergence of the Empirical Process for Dependent Variables,obtain a general tightness condition. In the strong mixing case, this allows us to improve on the well known result of Yoshihara (of course for the. . continuous functionals). In the same spirit, we give also an application to associated variables which improves a recent result of Yu. Some statistic作者: 按等級 時間: 2025-4-3 07:10 作者: 火海 時間: 2025-4-3 07:57 作者: Obstreperous 時間: 2025-4-3 15:59
Wavelets, spectrum analysis and 1/, processes,proved to be statistically and computationally efficient. Discretization issues (in time and scale) are discussed in some detail, theoretical claims are supported by numerical experiments and the importance of the proposed approach in turbulence studies is underlined.
