Nonparametric Detection and Estimation of Highly Oscillatory Signals
暂无分享,去创建一个
[1] G. Dantzig,et al. FINDING A CYCLE IN A GRAPH WITH MINIMUM COST TO TIME RATIO WITH APPLICATION TO A SHIP ROUTING PROBLEM , 1966 .
[2] Feller William,et al. An Introduction To Probability Theory And Its Applications , 1950 .
[3] P. Massart,et al. Risk bounds for model selection via penalization , 1999 .
[4] Peter Craven,et al. Smoothing noisy data with spline functions , 1978 .
[5] J. Simmons. Echolocation in Bats: Signal Processing of Echoes for Target Range , 1971, Science.
[6] M. Talagrand,et al. Probability in Banach spaces , 1991 .
[7] D. Donoho. CART AND BEST-ORTHO-BASIS: A CONNECTION' , 1997 .
[8] Bruno Torrésani,et al. Wavelets and Binary Coalescences Detection , 1997 .
[9] P. Massart,et al. Adaptive estimation of a quadratic functional by model selection , 2000 .
[10] J. Simmons. The resolution of target range by echolocating bats. , 1973, The Journal of the Acoustical Society of America.
[11] Andrew R. Barron,et al. Minimum complexity density estimation , 1991, IEEE Trans. Inf. Theory.
[12] S. Haykin,et al. The Chirplet Transform : A Generalization of Gabor ’ s Logon Transform , 1991 .
[13] R. Hulse,et al. Discovery of a pulsar in a binary system , 1975 .
[14] Simon Haykin,et al. The chirplet transform: physical considerations , 1995, IEEE Trans. Signal Process..
[15] Ronald R. Coifman,et al. Entropy-based algorithms for best basis selection , 1992, IEEE Trans. Inf. Theory.
[16] J. Rice. Mathematical Statistics and Data Analysis , 1988 .
[17] H. Joksch. The shortest route problem with constraints , 1966 .
[18] Patrick Flandrin,et al. Time-Frequency/Time-Scale Analysis , 1998 .
[19] D. Donoho,et al. Adaptive multiscale detection of filamentary structures embedded in a background of uniform random points , 2003 .
[20] I. Johnstone,et al. Ideal denoising in an orthonormal basis chosen from a library of bases , 1994 .
[21] C. Reinsch. Smoothing by spline functions , 1967 .
[22] Dean P. Foster,et al. The risk inflation criterion for multiple regression , 1994 .
[23] Thorne,et al. Spin-induced orbital precession and its modulation of the gravitational waveforms from merging binaries. , 1994, Physical review. D, Particles and fields.
[24] Michael A. Saunders,et al. Atomic Decomposition by Basis Pursuit , 1998, SIAM J. Sci. Comput..
[25] H. Akaike. A new look at the statistical model identification , 1974 .
[26] P. Massart,et al. Gaussian model selection , 2001 .
[27] Maxim J. Goldberg,et al. Removing noise from music using local trigonometric bases and wavelet packets , 1994 .
[28] Robin Pemantle,et al. Unpredictable paths and percolation , 1998 .
[29] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[30] Joshua R. Smith,et al. LIGO: the Laser Interferometer Gravitational-Wave Observatory , 1992, Science.
[31] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[32] Eric Chassande-Mottin,et al. Best chirplet chain: near-optimal detection of gravitational wave chirps , 2006 .
[33] I. Johnstone. Wavelets and the theory of non-parametric function estimation , 1999, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.
[34] I. Johnstone,et al. Minimax estimation via wavelet shrinkage , 1998 .
[35] Darko Žubrinić,et al. Fundamentals of Applied Functional Analysis: Distributions, Sobolev Spaces, Nonlinear Elliptic Equations , 1997 .
[36] Colin L. Mallows,et al. Some Comments on Cp , 2000, Technometrics.
[37] Alan V. Oppenheim,et al. Discrete-time signal processing (2nd ed.) , 1999 .
[38] Stéphane Mallat,et al. Matching pursuits with time-frequency dictionaries , 1993, IEEE Trans. Signal Process..
[39] S. Mallat. A wavelet tour of signal processing , 1998 .
[40] Christina Courtright,et al. Context in information behavior research , 2007 .
[41] Lars F. Villemoes. Adapted Bases of Time-Frequency Local Cosines , 2001 .
[42] Yogendra P. Chaubey. Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment , 1993 .
[43] T. Apostol. One-variable calculus, with an introduction to linear algebra , 1967 .
[44] I. Daubechies. Ten Lectures on Wavelets , 1992 .
[45] Measuring gravitational waves from binary black hole coalescences. I. Signal to noise for inspiral, merger, and ringdown , 1997, gr-qc/9701039.
[46] R. Balasubramanian,et al. Time-frequency detection of gravitational waves , 1999 .
[47] Xiaoming Huo,et al. Beamlets and Multiscale Image Analysis , 2002 .
[48] P. Massart,et al. From Model Selection to Adaptive Estimation , 1997 .
[49] Emmanuel J. Candès,et al. Multiscale Chirplets and Near-Optimal Recovery of Chirps , 2002 .
[50] Dianne P. O'Leary,et al. The Use of the L-Curve in the Regularization of Discrete Ill-Posed Problems , 1993, SIAM J. Sci. Comput..
[51] J. H. Taylor,et al. Measurements of general relativistic effects in the binary pulsar PSR1913 + 16 , 1979, Nature.
[52] I. Johnstone,et al. Wavelet Shrinkage: Asymptopia? , 1995 .
[53] C. J. Stone,et al. Consistent Nonparametric Regression , 1977 .
[54] E. Candès,et al. Searching for a trail of evidence in a maze , 2007, math/0701668.
[55] Bruno Torrésani,et al. Time Scale Approach for Chirp Detection , 2003, Int. J. Wavelets Multiresolution Inf. Process..
[56] Douglas L. Jones,et al. Shear madness: new orthonormal bases and frames using chirp functions , 1993, IEEE Trans. Signal Process..
[57] John E. Reynolds,et al. Biology of Marine Mammals , 1999 .
[58] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[59] F. Santosa,et al. Linear inversion of ban limit reflection seismograms , 1986 .
[60] Emmanuel J. Candes,et al. Detecting highly oscillatory signals by chirplet path pursuit , 2006, gr-qc/0604017.
[61] C. Moss,et al. Echolocation in bats and dolphins , 2003 .
[62] Tom M. Apostol,et al. Calculus, Volume 1: One-Variable Calculus with an Introduction to Linear Algebra , 1961 .
[63] Dennis Gabor,et al. Theory of communication , 1946 .
[64] Shimon Ullman,et al. Structural Saliency: The Detection Of Globally Salient Structures using A Locally Connected Network , 1988, [1988 Proceedings] Second International Conference on Computer Vision.
[65] Per Christian Hansen,et al. Rank-Deficient and Discrete Ill-Posed Problems , 1996 .
[66] B. Silverman,et al. Nonparametric regression and generalized linear models , 1994 .
[67] Yu. I. Ingster,et al. Nonparametric Goodness-of-Fit Testing Under Gaussian Models , 2002 .
[68] Emmanuel J. Cand. Modern statistical estimation via oracle inequalities , 2006 .
[69] Xiaoming Huo,et al. Near-optimal detection of geometric objects by fast multiscale methods , 2005, IEEE Transactions on Information Theory.
[70] D. Donoho,et al. Higher criticism for detecting sparse heterogeneous mixtures , 2004, math/0410072.
[71] Xiaoming Huo,et al. ADAPTIVE MULTISCALE DETECTION OF FILAMENTARY STRUCTURES IN A BACKGROUND OF UNIFORM RANDOM POINTS 1 , 2006 .
[72] Ravindra K. Ahuja,et al. Network Flows: Theory, Algorithms, and Applications , 1993 .
[73] Martin Greiner,et al. Wavelets , 2018, Complex..
[74] Terence Tao,et al. The Dantzig selector: Statistical estimation when P is much larger than n , 2005, math/0506081.
[75] Cheng-Shang Chang. Calculus , 2020, Bicycle or Unicycle?.
[76] P. Flandrin,et al. On the Time–Frequency Detection of Chirps1 , 1999 .
[77] C. Mallows. More comments on C p , 1995 .
[78] B. Owen,et al. Matched filtering of gravitational waves from inspiraling compact binaries: Computational cost and template placement , 1998, gr-qc/9808076.