Search for "Signal processing" in article titles:

1. Signal processing: Signal processing is a specialized topic in electrical engineering, with applications in other engineering disciplines, which is primarily concerned with the analysis and manipulation of signals. A signal here may be broadly thought of as any quantifiable time-varying quantity ... [100%] 2024-01-19
2. Signal Processing: Signal processing is a discipline that encompasses the analysis, modification, and synthesis of various signals, for example, audio and video. [100%] 2023-12-13 [Signal processing]
3. Digital signal (signal processing): In the context of digital signal processing (DSP), a digital signal is a discrete time, quantized amplitude signal. In other words, it is a sampled signal consisting of samples that take on values from a discrete set (a countable set ... (Signal processing) [85%] 2023-12-28 [Digital signal processing]
4. Sonar signal processing: Sonar systems are generally used underwater for range finding and detection. Active sonar emits an acoustic signal, or pulse of sound, into the water. (Underwater acoustic signal processing) [81%] 2023-12-13 [Multidimensional signal processing]
5. Digital signal processing: Digital signal processing (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide variety of signal processing operations. The digital signals processed in this manner are a sequence of ... (Mathematical signal manipulation by computers) [81%] 2023-12-30 [Digital signal processing] [Digital electronics]...
6. Downsampling (signal processing): In digital signal processing, downsampling, compression, and decimation are terms associated with the process of resampling in a multi-rate digital signal processing system. Both downsampling and decimation can be synonymous with compression, or they can describe an entire process ... (Resampling method) [81%] 2023-09-20 [Digital signal processing] [Signal processing]...
7. Quantum signal processing: Quantum Signal Processing is a Hamiltonian simulation algorithm with optimal lower bounds in query complexity. It linearizes the operator of a quantum walk using eigenvalue transformation. [81%] 2023-12-13 [Quantum information science]
8. Digital Signal Processing: Digital signal processing (commonly abbreviated as DSP) is the branch of science that studies digital signals and their processing. DSP is the digital counterpart of analog signal processing. [81%] 2023-09-14
9. Digital signal processing: Two books by Martin Vetterli (EPFL), Jelena Kovacevic (CMU), Vivek K Goyal (MIT). Free PDFs: A collection of DSP books by Julius O. [81%] 2023-12-13 [Electrical engineering] [Digital signal processing]...
10. Bandwidth (signal processing): Bandwidth is the difference between the upper and lower frequencies in a continuous band of frequencies. It is typically measured in hertz, and depending on context, may specifically refer to passband bandwidth or baseband bandwidth. (Signal processing) [81%] 2023-11-21 [Signal processing] [Telecommunication theory]...
11. Decimation (signal processing): In digital signal processing, decimation is the process of reducing the sampling rate of a signal. The term downsampling usually refers to one step of the process, but sometimes the terms are used interchangeably. (Signal processing) [81%] 2023-12-28 [Digital signal processing] [Signal processing]...
12. Sampling (signal processing): 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 to a sequence of "samples". (Signal processing) [81%] 2023-08-03 [Digital signal processing] [Signal processing]...
13. 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 ... [81%] 2023-12-13 [Multidimensional signal processing] [Signal processing]...
14. Filter (signal processing): In signal processing, a filter is a device or process that removes some unwanted components or features from a signal. Filtering is a class of signal processing, the defining feature of filters being the complete or partial suppression of some ... (Signal processing) [81%] 2023-12-30 [Signal processing] [Telecommunication theory]...
15. Financial signal processing: Financial signal processing is a branch of signal processing technologies which applies to signals within financial markets. They are often used by quantitative analysts to make best estimation of the movement of financial markets, such as stock prices, options prices ... (Finance) [81%] 2023-12-16 [Signal processing] [Financial markets]...
16. Bandwidth (signal processing): Bandwidth is the difference between the upper and lower frequencies in a continuous band of frequencies. It is typically measured in hertz, and depending on context, may specifically refer to passband bandwidth or baseband bandwidth. (Signal processing) [81%] 2022-09-21 [Signal processing] [Telecommunication theory]...
17. Noise (signal processing): In signal processing, noise is a general term for unwanted (and, in general, unknown) modifications that a signal may suffer during capture, storage, transmission, processing, or conversion. Sometimes the word is also used to mean signals that are random (unpredictable ... (Signal processing) [81%] 2023-09-20 [Signal processing]
18. Quantization (signal processing): Quantization, in mathematics and digital signal processing, is the process of mapping input values from a large set (often a continuous set) to output values in a (countable) smaller set, often with a finite number of elements. Rounding and truncation ... (Signal processing) [81%] 2024-01-13 [Digital signal processing] [Computer graphic artifacts]...
19. Energy (signal processing): In signal processing, the energy E s {\displaystyle E_{s}} of a continuous-time signal x(t) is defined as the area under the squared magnitude of the considered signal i.e., mathematically And the energy E s {\displaystyle E_ ... (Signal processing) [81%] 2024-01-09 [Signal processing]
20. Audio signal processing: Audio signal processing is a subfield of signal processing that is concerned with the electronic manipulation of audio signals. Audio signals are electronic representations of sound waves—longitudinal waves which travel through air, consisting of compressions and rarefactions. (Electronic manipulation of audio signals) [81%] 2023-12-13 [Signal processing]
21. Innovation (signal processing): In time series analysis (or forecasting) — as conducted in statistics, signal processing, and many other fields — the innovation is the difference between the observed value of a variable at time t and the optimal forecast of that value based on ... (Signal processing) [81%] 2023-09-16 [Statistical signal processing]
22. Algebraic signal processing: Algebraic signal processing (ASP) is an emerging area of theoretical signal processing (SP). In the algebraic theory of signal processing, a set of filters is treated as an (abstract) algebra, a set of signals is treated as a module or ... [81%] 2023-09-23 [Algebra] [Signal processing]...
23. Host signal processing: Host signal processing (HSP) is a term used in computing to describe hardware such as a modem or printer which is emulated (to various degrees) in software. Intel refers to the technology as native signal processing (NSP). [81%] 2024-02-26 [Computing terminology] [Digital signal processing]...
24. Polynomial signal processing: Polynomial signal processing is a type of non-linear signal processing. Polynomial systems maybe interpreted as conceptually straight forward extensions of linear systems to the non-linear case. [81%] 2024-04-13 [Signal processing]
25. Innovation (signal processing): In time series analysis (or forecasting) — as conducted in statistics, signal processing, and many other fields — the innovation is the difference between the observed value of a variable at time t and the optimal forecast of that value based on ... (Signal processing) [81%] 2024-09-23 [Statistical signal processing]
26. Noise (signal processing): In signal processing, noise is a general term for unwanted (and, in general, unknown) modifications that a signal may suffer during capture, storage, transmission, processing, or conversion. Sometimes the word is also used to mean signals that are random (unpredictable ... (Signal processing) [81%] 2024-08-24 [Signal processing]
27. Filter (signal processing): In signal processing, a filter is a device or process that removes some unwanted components or features from a signal. Filtering is a class of signal processing, the defining feature of filters being the complete or partial suppression of some ... (Signal processing) [81%] 2024-08-18 [Signal processing] [Telecommunication theory]...
28. Pulse-Doppler signal processing: Pulse-Doppler signal processing is a radar and CEUS performance enhancement strategy that allows small high-speed objects to be detected in close proximity to large slow moving objects. Detection improvements on the order of 1,000,000:1 are ... (Physics) [70%] 2023-12-13 [Radar] [Radar signal processing]...
29. IEEE Signal Processing Society: The IEEE Signal Processing Society (IEEE SPS) is one of the nearly 40 technical societies of the Institute of Electrical and Electronics Engineers (IEEE) and the first one created. Its mission is to "advance and disseminate state-of-the-art ... (Organization) [70%] 2023-12-14 [IEEE societies]
30. Order tracking (signal processing): In rotordynamics, order tracking is a family of signal processing tools aimed at transforming a measured signal from time domain to angular (or order) domain. These techniques are applied to asynchronously sampled signals (i.e. (Signal processing) [70%] 2023-12-31 [Dynamics (mechanics)] [Signal processing]...