In signal processing, multidimensional signal processing covers all signal processing done using multidimensional signals and systems. While multidimensional...

mathematical analysis and applications, multidimensional transforms are used to analyze the frequency content of signals in a domain of two or more dimensions...

Similar to 1-D Digital signal processing in case of the Multidimensional signal processing we have Efficient algorithms. The efficiency of an Algorithm...

In multidimensional signal processing, Multidimensional signal restoration refers to the problem of estimating the original input signal from observations...

In signal processing, multidimensional discrete convolution refers to the mathematical operation between two functions f and g on an n-dimensional lattice...

for multidimensional signal processing as well. This article introduces a few methods for wavelet synthesis and analysis for multidimensional signals. There...

(m > 1) polynomials. Multidimensional systems or m-D systems are the necessary mathematical background for modern digital image processing with many applications...

Martin (1997). "Grobner bases and multidimensional FIR multirate systems". Multidimensional Systems and Signal Processing. 8 (Springer): 11–30. Bibcode:1997MSySP...

Multidimensional Digital Signal Processing (MDSP) refers to the extension of Digital signal processing (DSP) techniques to signals that vary in more than...

In signal processing, nonlinear multidimensional signal processing (NMSP) covers all signal processing using nonlinear multidimensional signals and systems...

Retrieved 5 November 2013. Dudgeon and Mersereau (1984). Multidimensional digital signal processing. Prentice-Hall. Herman, G. T., Fundamentals of computerized...

In electronics engineering, video processing is a particular case of signal processing, in particular image processing, which often employs video filters...

applications in various fields such as spectral estimation of multidimensional signals, design of circularly symmetric and quadrantally symmetric non-recursive...

Array processing is a wide area of research in the field of signal processing that extends from the simplest form of 1 dimensional line arrays to 2 and...

in the reflected signal can not be used without technical signal processing. To extract the useful information from the mixed signal, some steps are taken...

In signal processing, a filter bank (or filterbank) is an array of bandpass filters that separates the input signal into multiple components, each one...

detect sound sources, but the real value of the array is that the signal processing technique of beamforming and Fourier analysis can be used not only...

In signal processing, sampling is the reduction of a continuous-time signal to a discrete-time signal. A common example is the conversion of a sound wave...

formulated for one-dimensional signals, to multidimensional signals or multivariate data, such as wave vectors. Multidimensional spectral estimation has gained...

Digital signal processing (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide...

antenna signals involved in this process. Doppler effect can be used to separate different objects based on speed. Pulse Doppler RADAR signal processing uses...

Introduction to Synthetic Aperture Radar (SAR). Advanced Radar Signal and Data Processing. pp. 3–1–3–14. Aftanas, Michal; J. Sachs; M. Drutarovsky; D. Kocur...

In signal processing, multidimensional empirical mode decomposition (multidimensional EMD) is an extension of the one-dimensional (1-D) EMD algorithm to...

Two-Dimensional Signal and Image Processing, Prentice-Hall International, 1990. Dan E. Dudgeon, Russell M. Mersereau, “Multidimensional Digital Signal Processing”,...

Parallel multidimensional digital signal processing (mD-DSP) is defined as the application of parallel programming and multiprocessing to digital signal processing...

source signals or the mixing process. It is most commonly applied in digital signal processing and involves the analysis of mixtures of signals; the objective...

In digital signal processing, multidimensional sampling is the process of converting a function of a multidimensional variable into a discrete collection...

function of both space and time, multidimensional signal processing techniques may be better suited for processing such data. There are a number of data...

investigation, soil moisture content determination and many others. In industrial process imaging ERT can be used in a similar fashion to medical EIT, to image the...

higher-resolution, lower dose exposures) driven by advances in signal and image processing algorithms (including compressed sensing techniques), and faster...