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- {{Short description|Signal processing system}} ...ombined in a benign or destructive manner, resulting in degradation of the signal to/from the undesired direction. This technique is used in both radio frequ ...5 KB (706 words) - 01:51, 23 December 2023
- ...ds. A block is usually subjected to some type of block processing, such as multidimensional [[parity bit|parity]] checking, associated with it. ...2 KB (250 words) - 23:39, 19 December 2022
- * [[Multidimensional Pain Inventory]], a pain medicine assessment questionnaire * [[Multipath interference]], a physical effect that causes signal degradation in communication systems ...3 KB (339 words) - 09:34, 4 May 2025
- ...source separation problem, but it is a difficult problem in digital signal processing. ...as audio. However, blind signal separation is now routinely performed on [[multidimensional data]], such as [[digital image|images]] and [[tensors]], which may involve ...10 KB (1,403 words) - 05:05, 20 May 2025
- ...exhibits <math>2^{d}</math> (where <math>d</math> is the dimension of the signal being transformed) redundancy compared to a separable (DWT). ...id=258030&dl=GUIDE&coll=GUIDE&CFID=10476702&CFTOKEN=44762573 | title=Image Processing with Complex Daubechies Wavelets | author=Lina, JM | journal=Journal of Mat ...7 KB (992 words) - 15:27, 24 May 2025
- {{Short description|Signal processing sample technique}} ...wice the upper [[cutoff frequency]]), but is still able to reconstruct the signal. ...9 KB (1,450 words) - 19:47, 8 October 2024
- | footer = Partial plot of a discrete signal (black dots) and of its Lanczos interpolation (solid blue curve), with size ...(signal)|samples]]. In the latter case, it maps each sample of the given signal to a translated and scaled copy of the '''Lanczos kernel''', which is a [[s ...13 KB (1,816 words) - 15:12, 22 May 2025
- ...ns]], [[fast Fourier transform]], [[signal processing|signal]] and [[image processing]], [[ordinary differential equation]] solvers and other tasks common in sci ...: various functions for multi-dimensional [[Digital image processing|image processing]] ...9 KB (1,120 words) - 03:55, 13 June 2025
- ...all finite waves, or [[wavelets]]. The transform can be easily extended to multidimensional signals, such as images, where the time domain is replaced with the space d ...ling rate]] of 2<sup>''J''</sup> per unit interval, and projects the given signal ''f'' onto the space <math>V_J</math>; in theory by computing the [[dot pro ...7 KB (1,122 words) - 07:52, 6 April 2025
- ...visual cortex]], and developed for high-performance [[biomimetic]] [[image processing]].<ref>{{cite journal|last1=Zhan|first1=K.|last2=Shi|first2=J.|last3=Wang|f ...d was soon recognized as having significant application potential in image processing. ...7 KB (998 words) - 16:29, 24 May 2025
- ...hat are lower than the adjacent points are increased leading to a smoother signal. Smoothing may be used in two important ways that can aid in data analysis ...unweighted sliding-average smooth". This method replaces each point in the signal with the average of "m" adjacent points, where "m" is a positive integer ca ...11 KB (1,534 words) - 14:42, 25 May 2025
- ...ransform]] (DFT) as a [[transformation matrix]], which can be applied to a signal through [[matrix multiplication]]. ...[[square matrix|square]] DFT matrix, and <math>X</math> is the DFT of the signal. The square matrix ensures the transformation is invertable. ...11 KB (1,508 words) - 21:03, 14 April 2025
- {{Short description|Tool for Digital Signal Processing}} ...mponents, each one carrying a [[Sub-band coding|sub-band]] of the original signal.<ref>{{cite journal ...39 KB (6,001 words) - 03:07, 20 June 2025
- {{Short description|Multidimensional data algorithm}} ...velet atom with the signal (bottom). Matching pursuit should represent the signal by just a few atoms, such as the three at the centers of the clearly visibl ...18 KB (2,363 words) - 19:24, 4 June 2025
- ...[discrete Fourier transform]] (DFT), with analogous applications in signal processing and related fields. Its main distinction from the DFT is that it transforms The MD-DHT is widely used in areas like image and optical signal processing. Specific applications include computer vision, high-definition television, ...23 KB (3,445 words) - 15:25, 25 February 2025
- {{Short description|Signal processing technique used in radar}} ...array processing [[algorithms]] to aid in target detection. Radar signal processing benefits from STAP in areas where interference is a problem (i.e. ground [[ ...21 KB (3,224 words) - 21:32, 4 February 2024
- ...he name refers to its ability to extract range and direction from a single signal pulse. ...ical scanning]] radar systems, which can be confused by rapid changes in [[signal strength]]. The system also makes [[electronic warfare|jamming]] more diffi ...18 KB (2,928 words) - 23:18, 12 November 2024
- {{Short description|Signal processing design process}} ...esign''' is the process of designing a [[Filter (signal processing)|signal processing filter]] that satisfies a set of requirements, some of which may be conflic ...23 KB (3,502 words) - 04:08, 3 December 2024
- ...'s sensors away from the ship's own noise sources, greatly improving its [[signal-to-noise ratio]], and hence the effectiveness of detecting and tracking fai ...detect sound sources, but the real value of the array is that the [[signal processing]] technique of [[beamforming#Sonar beamforming|beamforming]] and [[Fourier ...9 KB (1,428 words) - 06:35, 31 May 2025
- {{short description|Mathematical signal manipulation by computers}} ...n such as time, space, or frequency. In [[digital electronics]], a digital signal is represented as a [[pulse train]],<ref>{{cite book |author=B. SOMANATHAN ...27 KB (3,547 words) - 23:16, 23 October 2025