Mathematical analysis of frequency content of signals
In mathematical analysis and applications, multidimensional transforms are used to analyze the frequency content of signals in a domain of two or more dimensions.
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In mathematical analysis and applications, multidimensionaltransforms are used to analyze the frequency content of signals in a domain of two or more...
spectral analysis List of Fourier-related transformsMultidimensionaltransform Zak transform Quantum Fourier transform Equivalently, it is the ratio of the...
Hadamard transform can be regarded as being built out of size-2 discrete Fourier transforms (DFTs), and is in fact equivalent to a multidimensional DFT of...
denotes numerical quantity. Multidimensionaltransform Clock and shift matrices Chebotarev theorem on roots of unity The Transform and Data Compression Handbook...
and Frederic Truchetet. "Discrete wavelet transform implementation in Fourier domain for multidimensional signal." Journal of Electronic Imaging 11.3...
the Hilbert spectral analysis, known as the Hilbert–Huang transform (HHT). The multidimensional EMD extends the 1-D EMD algorithm into multiple-dimensional...
factors of √2 (see above), this can be used to make the transform matrix orthogonal. Multidimensional variants of the various DCT types follow straightforwardly...
expansion of the j-invariant. Least-squares spectral analysis Multidimensionaltransform Spectral theory Sturm–Liouville theory Residue theorem integrals...
transform appears when one writes the multidimensional Fourier transform in hyperspherical coordinates, which is the reason why the Hankel transform often...
properties of the Multidimensional Fourier Transform. Fourier Transform (FT) of multi-dimensional (MD) signal or system is the transform of the MD signal...
transaction processing (OLTP). OLAP tools enable users to analyse multidimensional data interactively from multiple perspectives. OLAP consists of three...
_{k=1}^{n}u_{k}\cdot v_{k}} is the scalar product on Rn. The multidimensionaltransform can be interpreted as an encoding of the convex hull of the function's...
In signal processing, multidimensional discrete convolution refers to the mathematical operation between two functions f and g on an n-dimensional lattice...
processing, multidimensional signal processing covers all signal processing done using multidimensional signals and systems. While multidimensional signal...
The Hough transform is a feature extraction technique used in image analysis, computer vision, and digital image processing. The purpose of the technique...
of two-dimensional and in general, multidimensional discrete transforms. List of transforms § Discrete transforms Jerry C. Whitaker (2001). Television...
In mathematical systems theory, a multidimensional system or m-D system is a system in which not only one independent variable exists (like time), but...
Fourier transform (FRFT) is a family of linear transformations generalizing the Fourier transform. It can be thought of as the Fourier transform to the...
discrete wavelet transform (DWT) is any wavelet transform for which the wavelets are discretely sampled. As with other wavelet transforms, a key advantage...
challenges such as directivity in multidimensional case. The discrete wavelet transform is extended to the multidimensional case using the tensor product...
concepts, principles and applications of Multirate filter banks and Multidimensional Directional filter banks. Linear time-invariant systems typically operate...
include autocorrelation, multi-D Fourier transform, mean square error and entropy. When it comes to multidimensional signals, there are two main approaches:...
analysis, visualization and data preprocessing. The data is linearly transformed onto a new coordinate system such that the directions (principal components)...
Leyman, Abdul Rahim (2000). "Polynomial Transform Algorithms for Multidimensional Discrete Hartley Transform". IEEE International Symposium on Circuits...