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The offset linear canonical transform encompassing the numerous integral transforms, is a promising tool for analyzing non-stationary signals with more degrees of freedom. In this paper, we generalize the windowed offset linear canonical…

Classical Analysis and ODEs · Mathematics 2020-06-22 Aajaz A. Teali

Hypercomplex Fourier transforms are increasingly used in signal processing for the analysis of higher-dimensional signals such as color images. A main stumbling block for further applications, in particular concerning filter design in the…

Classical Analysis and ODEs · Mathematics 2013-03-08 Roxana Bujack , Hendrik De Bie , Nele De Schepper , Gerik Scheuermann

New criterion of regularity for representation of canonical commutation relations algebra is given on the basis of concept of an analytical vector.

Mathematical Physics · Physics 2011-05-13 M. N. Mnatsakanova , S. G. Salynskiy , Yu. S. Vernov

We show that the orthogonal projection operator onto the range of the adjoint of a linear operator T can be represented as UT, where U is an invertible linear operator. Using this representation we obtain a decomposition of a multivariate…

Statistics Theory · Mathematics 2017-10-27 Rajeshwari Majumdar , Suman Majumdar

We propose a modification of a recently introduced generalized translation operator, by including a $q$-exponential factor, which implies in the definition of a Hermitian deformed linear momentum operator $\hat{p}_q$, and its canonically…

Mathematical Physics · Physics 2015-06-16 Bruno G. da Costa , Ernesto P. Borges

Wick's theorem, known for yielding normal ordered from time-ordered bosonic fields may be generalized for a simple relationship between any two orderings that we define over canonical variables, in a broader sense than before. In this broad…

Quantum Physics · Physics 2018-08-08 Lajos Diósi

A notion of convolution is presented in the context of formal power series together with lifting constructions characterising algebras of such series, which usually are quantales. A number of examples underpin the universality of these…

Logic in Computer Science · Computer Science 2014-10-17 Brijesh Dongol , Ian J. Hayes , Georg Struth

Discriminating data classes emanating from sensors is an important problem with many applications in science and technology. We describe a new transform for pattern identification that interprets patterns as probability density functions,…

Computer Vision and Pattern Recognition · Computer Science 2017-02-15 Se Rim Park , Soheil Kolouri , Shinjini Kundu , Gustavo Rohde

The analytic signal is a useful mathematical tool. It separates qualitative and quantitative information of a signal in form of the local phase and local amplitude. The Clifford Fourier transform (CFT) plays a vital role in the…

Complex Variables · Mathematics 2023-07-26 Zhen Feng Cai , Kit Ian Kou

We prove the finiteness of $B$-representations of generalised log canonical pairs. As a consequence, we prove that, the (relative) abundance for a generalised semi-log canonical pair is implied by the abundance for its normalisation.…

Algebraic Geometry · Mathematics 2021-03-23 Zhengyu Hu

We define a novel time-frequency analyzing tool, namely linear canonical wavelet transform (LCWT) and study some of its important properties like inner product relation, reconstruction formula and also characterize its range. We obtain…

Functional Analysis · Mathematics 2022-02-25 Bivek Gupta , Amit K. Verma , Carlo Cattani

We prove that the spherical mean value of the Dunkl-type generalized translation operator $\tau^y$ is a positive $L^p$-bounded generalized translation operator $T^t$. As application, we prove the Young inequality for a convolution defined…

Classical Analysis and ODEs · Mathematics 2018-12-05 D. V. Gorbachev , V. I. Ivanov , S. Yu. Tikhonov

In many Lagrangian field theories one has a Poisson bracket defined on the space of local functionals. We find necessary and sufficient conditions for a transformation on the space of local functionals to be canonical in three different…

Mathematical Physics · Physics 2007-05-23 Samer Ashhab

In this paper we show an alternative way of defining Fourier Series and Transform by using the concept of convolution with exponential signals. This approach has the advantage of simplifying proofs of transforms properties and, in our view,…

History and Overview · Mathematics 2022-01-20 Francisco Mota

In this paper we construct manifestly covariant relativistic coherent states on the entire complex plane which reproduce others previously introduced on a given $SL(2,R)$ representation, once a change of variables $z\in C\rightarrow z_D \in…

High Energy Physics - Theory · Physics 2009-10-28 V. Aldaya , J. Guerrero

Convolutional neural networks have been extremely successful in the image recognition domain because they ensure equivariance to translations. There have been many recent attempts to generalize this framework to other domains, including…

Machine Learning · Statistics 2018-11-13 Risi Kondor , Shubhendu Trivedi

A proof is given that an invertible and a unitary operator can be used to reproduce the effect of a q-deformed commutator of annihilation and creation operators. In other words, the original annihilation and creation operators are mapped…

Quantum Physics · Physics 2007-05-23 Giampiero Esposito

A different application of the familiar integral representation for the modifed Bessel function drives to a new Kontorovich-Lebedev-like integral transformation of a general complex index. Mapping and operational properties, a convolution…

Classical Analysis and ODEs · Mathematics 2012-06-07 Semyon Yakubovich

In this paper, we first prove that the kernel of convolution operator, corresponding the composition of pseudo-differential operator and evolution system associated with the symbol depending on time, satisfies the H\"ormander's condition.…

Analysis of PDEs · Mathematics 2025-02-19 Un Cig Ji , Jae Hun Kim

Although very successfully used in conventional machine learning, convolution based neural network architectures -- believed to be inconsistent in function space -- have been largely ignored in the context of learning solution operators of…