Everything about Multidimensional signal processing
In signal processing, multidimensional signal processing covers all signal processing done using multidimensional signals and systems. While multidimensional signal processing is a subset of signal processing, it is unique in the sense that it deals specifically with data that can only be adequately detailed using more than one dimension. In m-D digital signal processing, useful data is sampled in more than one dimension. Examples of this are image processing and multi-sensor radar detection. Both of these examples use multiple sensors to sample signals and form images based on the manipulation of these multiple signals. Processing in multi-dimension (m-D) requires more complex algorithms, compared to the 1-D case, to handle calculations such as the fast Fourier transform due to more degrees of freedom. In some cases, m-D signals and systems can be simplified into single dimension signal processing methods, if the considered systems are separable. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Multidimensional signal processingA 5-minute orientation
- Skim a recent paper: Multidimensional Signal Processing for High Areal Density Heated-Dot Magnetic RecordingInfluential work since 2022
- Pick up a classic book: New Approaches for Multidimensional Signal ProcessingThe most-reprinted book on the subject
- Read the landmark paper: Tensor Algebra and Multidimensional Harmonic Retrieval in Signal Processing for MIMO RadarCited 299 times
- Go sideways: Multidimensional discrete convolutionA closely related topic
- Go sideways: Filter bankA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Tensor Algebra and Multidimensional Harmonic Retrieval in Signal Processing for MIMO Radar
Morphological systems for multidimensional signal processing
Nonuniform sampling and non-Fourier signal processing methods in multidimensional NMR
Background memory area estimation for multidimensional signal processing systems
Power and Area Minimization for Multidimensional Signal Processing
The past, present, and future of image and multidimensional signal processing
Array-OL with delays, a domain specific specification language for multidimensional intensive signal processing
Kriging filters for multidimensional signal processing
🆕 Influential since 2022
Multidimensional Signal Processing for High Areal Density Heated-Dot Magnetic Recording
Robust Multidimensional Graph Neural Networks for Signal Processing in Wireless Communications With Edge-Graph Information Bottleneck
Research advances towards multidimensional signal processing strategies for polymeric multimodal flexible sensors
Enhanced Multidimensional Signal Processing Schemes for High Areal Density Heated-Dot Magnetic Recording
A study of auditory-associative musical emotion based on multidimensional signal processing techniques
📚 Books worth reading
New Approaches for Multidimensional Signal ProcessingRoumen Kountchev, Rumen Mironov · 2021
3D Imaging - Multidimensional Signal Processing and Deep LearningLakhmi Jain, Roumen Kountchev · 2022
Fast algorithms for signal processingRichard E. Blahut · 2010- 📕Multidimensional Signals, Circuits and SystemsKrzysztof Galkowski, Jeff David Wood · 2001
Handbook of Signal Processing SystemsShuvra S. Bhattacharyya · 2013
3D Imaging Technologies - Multidimensional Signal Processing and Deep LearningLakhmi C. Jain, Roumen Kountchev · 2021
Statistical Image Processing And Multidimensional ModelingPaul Fieguth · 2010- 📕Multidimensional Signal ProcessingQionghai Dai, Tsinghua University Tsinghua University Press
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Multidimensional discrete convolution In signal processing, multidimensional discrete convolution refers to the mathematical operation between two functions f and g on an n-dimensional lattice…
- Filter bank In signal processing, a filter bank (or filterbank) is an array of bandpass filters that separates the input signal into multiple components, each one…
- Multidimensional transform In mathematical analysis and applications, multidimensional transforms are used to analyze the frequency content of signals in a domain of two or more…
- Multidimensional seismic data processing Multidimensional seismic data processing forms a major component of seismic profiling, a technique used in geophysical exploration. The technique itself…
- Multidimensional DSP with GPU acceleration Multidimensional digital signal processing (MDSP) refers to the extension of digital signal processing (DSP) techniques to signals that vary in more than…
- Hexagonal sampling A multidimensional signal is a function of M independent variables where M ≥ 2 {\displaystyle M\geq 2} . Real world signals, which are generally continuous…
- Multidimensional spectral estimation Multidimension spectral estimation is a generalization of spectral estimation, normally formulated for one-dimensional signals, to multidimensional signals…
- Parallel multidimensional digital signal processing Parallel multidimensional digital signal processing (mD-DSP) is defined as the application of parallel programming and multiprocessing to digital signal…