Bin Han spends much of his time researching Wavelet, Refinable function, Mathematical analysis, Dual wavelet and Transfer matrix. Bin Han has researched Wavelet in several fields, including Discrete mathematics, Spline and Pure mathematics. His work deals with themes such as Matrix and Scalar, which intersect with Refinable function.
The study incorporates disciplines such as Orthonormal basis, Biorthogonal system and Eigenvalues and eigenvectors in addition to Mathematical analysis. His Dual wavelet research incorporates themes from Vanishing moments and Function space. Bin Han combines subjects such as Smoothness and Antisymmetric relation with his study of Transfer matrix.
His primary areas of study are Wavelet, Mathematical analysis, Pure mathematics, Refinable function and Algorithm. The study of Wavelet is intertwined with the study of Discrete mathematics in a number of ways. His research integrates issues of Orthonormal basis and Filter bank in his study of Mathematical analysis.
His Pure mathematics study combines topics from a wide range of disciplines, such as Vanishing moments, Matrix and Gravitational singularity. He has included themes like Smoothness, Linear combination and Hermite polynomials in his Refinable function study. His Algorithm research is multidisciplinary, relying on both Filter, Inpainting, Shearlet, Tensor product and Cascade algorithm.
The scientist’s investigation covers issues in Pure mathematics, Wavelet, Applied mathematics, Vanishing moments and Vector-valued function. His work in the fields of Pure mathematics, such as Sobolev space, intersects with other areas such as Shearlet transform. His Wavelet research focuses on Biorthogonal system in particular.
His studies in Applied mathematics integrate themes in fields like Helmholtz equation, Optimal control, Hermite polynomials, Spline and Discretization. His biological study spans a wide range of topics, including Refinable function, Hilbert's syzygy theorem and Mathematical analysis. The various areas that he examines in his Mathematical analysis study include Characterization and Shearlet.
His scientific interests lie mostly in Vanishing moments, Pure mathematics, Filter bank, Spectral theorem and Matrix. His Vanishing moments research includes themes of Refinable function, Factorization and Real algebraic geometry. Particularly relevant to Hilbert's syzygy theorem is his body of work in Pure mathematics.
His Filter bank research is multidisciplinary, relying on both Dimension, Structure, Mathematical analysis and Nonzero coefficients.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Framelets: MRA-based constructions of wavelet frames☆☆☆
Ingrid Daubechies;Bin Han;Amos Ron;Zuowei Shen.
Applied and Computational Harmonic Analysis (2003)
On Dual Wavelet Tight Frames
Applied and Computational Harmonic Analysis (1997)
Multivariate refinement equations and convergence of subdivision schemes
Bin Han;Rong-Qing Jia.
Siam Journal on Mathematical Analysis (1998)
Pairs of Dual Wavelet Frames from Any Two Refinable Functions
Ingrid Daubechie;Bin Han.
Constructive Approximation (2004)
Vector cascade algorithms and refinable function vectors in Sobolev spaces
Journal of Approximation Theory (2003)
Biorthogonal Multiwavelets on the Interval: Cubic Hermite Splines
W. Dahmen;B. Han;R.-Q. Jia;A. Kunoth.
Constructive Approximation (2000)
Compactly supported tight wavelet frames and orthonormal wavelets of exponential decay with a general dilation matrix
Journal of Computational and Applied Mathematics (2003)
Symmetric orthonormal scaling functions and wavelets with dilation factor 4
Advances in Computational Mathematics (1998)
Approximation Properties and Construction of Hermite Interpolants and Biorthogonal Multiwavelets
Journal of Approximation Theory (2001)
Dual multiwavelet frames with high balancing order and compact fast frame transform
Applied and Computational Harmonic Analysis (2009)
Profile was last updated on December 6th, 2021.
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