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Signal processing technique used in radar
Space-time adaptive processing (STAP) is a signal processing technique most commonly used in radar systems. It involves adaptive array processing algorithms
Space-time adaptive processing
Space-time_adaptive_processing
Active antennas that are designed to resist radio jamming
advanced algorithms, such as space-time adaptive processing (STAP) or space-frequency adaptive processing (SFAP), to adapt to complex and dynamic interference
Controlled reception pattern antenna
Controlled_reception_pattern_antenna
Doppler radar designed for the Eurofighter Typhoon aircraft
PIRATE. Space-Time Adaptive Processing / Combat Search: This capability is at the heart of the CAPTOR-E. With Space-Time Adaptive Processing (STAP), slow-flying
Euroradar_CAPTOR
Stochastic process
the integrand is an adapted process. Let ( Ω , F , P ) {\displaystyle (\Omega ,{\mathcal {F}},\mathbb {P} )} be a probability space; I {\displaystyle I}
Adapted_process
Military radar
capabilities. The system is all-weather, and can utilize its 'Space-Time Adaptive Processing (STAP)' architecture to suppress jamming, clutter or other sources
AN/APY-9
Object detection system using radio waves
radar targets, space-time adaptive processing, and track-before-detect. Constant false alarm rate and digital terrain model processing are also used in
Radar
Airborne system of surveillance radar plus command and control functions
advanced electronic scanning and high digital computing power via space/time adaptive processing. The Russian Aerospace Forces are currently using approximately
Airborne early warning and control
Airborne_early_warning_and_control
Airborne early warning and control aircraft
advanced electronic scanning and high digital computing power via space/time adaptive processing. According to the Navy's NIFC-CA concept, the E-2D could guide
Grumman_E-2_Hawkeye
Multi-layer defense system
methods, to search for vulnerabilities. It is expected to use space-time adaptive processing algorithms to filter out interference from the missile’s ionized
Mission_Sudarshan_Chakra
Area of research in signal processing
Phased array Space-time adaptive processing Periodogram Matched filter Welch's method Bartlett's method SAMV Torlak, M. Spatial Array Processing. Signal and
Array_processing
System with self-optimizing transfer function
all adaptive filters are digital filters. Adaptive filters are required for some applications because some parameters of the desired processing operation
Adaptive_filter
Signal processing technique to reduce noise
Adaptive noise cancelling evolved from the pioneering work on adaptive systems, adaptive filtering and signal processing carried out at the Adaptive Systems
Adaptive_noise_cancelling
Technique used in optical systems
companies with interests in Adaptive Optics Space-based vs. Ground-based telescopes with Adaptive Optics Ten Years of VLT Adaptive Optics (ESO : ann11078 :
Adaptive_optics
Field of electrical engineering
(IIR) filter, and adaptive filters such as the Wiener and Kalman filters. Nonlinear signal processing involves the analysis and processing of signals produced
Signal_processing
In signal processing, a kernel adaptive filter is a type of nonlinear adaptive filter. An adaptive filter is a filter that adapts its transfer function
Kernel_adaptive_filter
American financial and corporate software company
and its core product to Workday Adaptive Planning. In 2003, Robert S. Hull and Richard L. Dellinger co-founded Adaptive Planning to market enterprise budgeting
Workday,_Inc.
Topics referred to by the same term
may refer to: List of people with the surname Stap Space-time adaptive processing, a signal processing technique Simple task-actor protocol, UI serialization
STAP
1962 science fantasy novel by Madeleine L'Engle
Charles Wallace Murry, and Calvin O'Keefe – embark on a journey through space and time, from galaxy to galaxy, as they endeavor to rescue the Murrys' father
A_Wrinkle_in_Time
Random process independent of past history
signal processing, and speech processing. The adjectives Markovian and Markov are used to describe something that is related to a Markov process. A Markov
Markov_chain
U.S. Space Force unit
hosted one of the world’s first operational adaptive optics systems: an experimental silicon-on-insulator adaptive imaging system fielded in collaboration
15th Space Surveillance Squadron
15th_Space_Surveillance_Squadron
Canadian electrical engineer (1931–2025)
kurdish electrical engineer noted for his pioneering work in Adaptive Signal Processing with emphasis on applications to Radar Engineering and Telecom
Simon_Haykin
Formal grammar
self-classified by its creator as both imperative and adaptive, or, more specifically, as a time-space adaptive grammar formalism, and was further classified
Adaptive_grammar
Indian American academic (born 1954)
Vaidyanathan, "MIMO radar space-time adaptive processing using prolate spheroidal wave functions", IEEE Transactions on Signal Processing, Feb, 2008. https://ieeexplore
P._P._Vaidyanathan
American aerospace engineer
on three patents related to Relativity Space: "Real-time adaptive control of additive manufacturing processes using machine learning", "Methods and apparatuses
Jordan_Noone
Statistical method
been used mainly with data correlated in time (i.e. time series) but can also be used with data correlated in space, or among groups (so-called cluster data)
Bootstrapping_(statistics)
Evolutionary process
is a state reached by the population during that process. Thirdly, it is a phenotypic trait or adaptive trait, with a functional role in each individual
Adaptation
Electronic manipulation of audio signals
Audio signal processing is a subfield of signal processing that is concerned with the electronic manipulation of audio signals. Audio signals are electronic
Audio_signal_processing
Transform in signal processing
for study the time-frequency structure of geomagnetic pulsations. Mann, S.; Haykin, S. (21–26 July 1991), "Adaptive chirplet: An adaptive generalized wavelet-like
Chirplet_transform
Device or computer program used for writing and editing documents
word processing programs have gained advanced features over time providing similar functionality to desktop publishing programs. Common word processor programs
Word_processor
Void between celestial bodies
Outer space, or simply space, is the expanse that exists beyond Earth's atmosphere and between celestial bodies. It contains ultra-low levels of particle
Outer_space
of space-based architecture typically has the following components: Processing unit The unit of scalability and fail-over. Normally, a processing unit
Space-based_architecture
Variable representing a random phenomenon
(typically time, space, or a discrete set). If a random variable X : Ω → R {\displaystyle X\colon \Omega \to \mathbb {R} } defined on the probability space ( Ω
Random_variable
Image processing methods
The term post-processing (or postproc for short) is used in the video and film industry for quality-improvement image processing (specifically digital
Video_post-processing
Engineering discipline focused on robots
which often require addressing complex mechanical movements, real-time control, and adaptive decision-making through software and AI. Robotics engineering
Robotics_engineering
Dysfunction in one's ability to comprehend and respond to multiple sensory stimuli
Is sensory processing disorder a real disease?". Slate. Retrieved 12 September 2018. "Sensory Processing Disorder". HowStuffWorks. InfoSpace Holdings LLC
Sensory_processing_disorder
Form of scientific experiment
of "adaptive" randomization procedures have been used in RCTs, but much less frequently than simple or restricted randomization: Covariate-adaptive randomization
Randomized_controlled_trial
System whose behavior is not automatically predictable from its parts
emerge from interactions among adaptive agents, and may be influenced but not precisely controlled. The term complex adaptive systems, or complexity science
Complex_adaptive_system
Method of quality control
well-placed to manage semi-automated data governance of high-volume data processing operations, for example in an enterprise data warehouse, or an enterprise
Statistical_process_control
Sequence of data points over time
observations recorded at successive equally spaced points in time. Thus, it represents a form of discrete-time data. A time series may describe measurements collected
Time_series
Techniques and methods in signal processing
In signal processing, time–frequency analysis comprises those techniques that study a signal in both the time and frequency domains simultaneously, using
Time–frequency_analysis
Signal processing technique for sensor arrays
process may be carried out in either the time or the frequency domain. As the name indicates, an adaptive beamformer is able to automatically adapt its
Beamforming
Statistical model
theory and statistics, a Gaussian process is a stochastic process (a collection of random variables indexed by time or space), such that every finite collection
Gaussian_process
Type of stochastic process
independent of time. White noise is the simplest example of a stationary process. An example of a discrete-time stationary process where the sample space is also
Stationary_process
American scientist (born 1939)
introduced by Grossberg in 1976 into Adaptive Resonance Theory and Self-Organizing Maps for the learning of adaptive filters in these models. This learning
Stephen_Grossberg
Apparent lack of pattern or predictability in events
an assignment of a numerical value to each possible outcome of an event space. This association facilitates the identification and the calculation of
Randomness
Statistical method for handling multiple comparisons
(FER) rules for model selection in signal processing applications". IEEE Open Journal of Signal Processing. 3 (1): 403–416. Bibcode:2022IOJSP...3..403S
False_discovery_rate
Measure of the shape of a function
central moment of X about x0 is finite for some x0 ∈ M. Energy (signal processing) Factorial moment Generalised mean Image moment L-moment Method of moments
Moment_(mathematics)
Correlation of a signal with a time-shifted copy of itself, as a function of shift
Autocorrelation is widely used in signal processing, time domain and time series analysis to understand the behavior of data over time. Different fields of study define
Autocorrelation
two-dimensional (2D) adaptive filter is very much like a one-dimensional adaptive filter in that it is a linear system whose parameters are adaptively updated throughout
2D_adaptive_filters
Stochastic process
of sequences and contains all adapted left-continuous processes.[clarification needed] Given a filtered probability space ( Ω , F , ( F n ) n ∈ N , P )
Predictable_process
In computer graphics, a finite set of available colors
image pixels and its adaptive palette. Assuming a limited 8-bit depth graphic display, it is necessary to load a given image's adaptive palette into the color
Palette_(computing)
Stochastic process generalizing Brownian motion
Wiener process (or Brownian motion, due to its historical connection with the physical process of the same name) is a real-valued continuous-time stochastic
Wiener_process
Streaming media technique
using adaptive bit rate technology for many years now, making it standard practice for high-end streaming providers. Traditional server-driven adaptive bitrate
Adaptive_bitrate_streaming
Process in which organisms diversify rapidly from an ancestral species
In evolutionary biology, adaptive radiation is a process in which organisms diversify rapidly from an ancestral species into a multitude of new forms
Adaptive_radiation
Probabilistic problem-solving algorithm
integral of a similar function or use adaptive routines such as stratified sampling, recursive stratified sampling, adaptive umbrella sampling or the VEGAS algorithm
Monte_Carlo_method
Collection of random variables
Stochastic processes have applications in many disciplines such as biology, chemistry, ecology, neuroscience, physics, image processing, signal processing, control
Stochastic_process
Clothing designed for the needs of disabled people
even fabrics and texture due to a type of disability may need adaptive clothing. Most adaptive clothing designs are taken from general-market clothing, the
Adaptive_clothing
1968 film by Stanley Kubrick
2001: A Space Odyssey is a 1968 epic science fiction film produced and directed by Stanley Kubrick, who co-wrote the screenplay with Arthur C. Clarke
2001:_A_Space_Odyssey
Category of domicile structures
Examples of Adaptive Reuse". Archi-Ninja. Retrieved 2018-05-03. "Planning". CiteSeerX 10.1.1.850.9486. Chetvernina, Natalia (2013-07-23). Adaptive Reuse of
Alternative_housing
Reuse of an existing building for a new purpose
benefits. Adaptive reuse is defined as the aesthetic process that adapts buildings for new uses while retaining their historic features. Using an adaptive reuse
Adaptive_reuse
Mathematical model for sequential decision making under uncertainty
probabilistic) mapping from state space ( S {\displaystyle S} ) to action space ( A {\displaystyle A} ). The goal in a Markov decision process is to find a good "policy"
Markov_decision_process
Study of processing speed on cognitive tasks
of processing speed or reaction time on cognitive tasks to infer the content, duration, and temporal sequencing of mental operations. Reaction time (RT;
Mental_chronometry
List of launches of SpaceX's fully reusable Starship
mass-manufacturing pipeline and adapting it to a wide range of space missions. Starship is the latest project in SpaceX's reusable launch system development
List_of_Starship_launches
Redundancy method to improve communications reliability
“Adaptive Arrays and Diversity Antenna Configurations for Handheld Wireless Communication Terminals” by Carl Dietrich, Jr. Feb 15, 2000. “Adaptive Antenna
Antenna_diversity
Covariance and correlation
In signal processing, cross-correlation is a measure of similarity of two series as a function of the displacement of one relative to the other. This is
Cross-correlation
American science fiction television series
Star Trek: Deep Space Nine (DS9) is an American science-fiction television series created by Rick Berman and Michael Piller. The fourth series in the
Star_Trek:_Deep_Space_Nine
Adaptive sampling is an approach to sampling that uses heuristics to provide efficiency. The term adaptive sampling represents a general approach to the
Adaptive_sampling
Sociological and organizational studies theory
explain how these elements are created, diffused, adopted, and adapted over space and time; and how they fall into decline and disuse. In defining institutions
Institutional_theory
Radar system that does not transmit
returns from individual targets, over time, in the range-Doppler space produced by the cross-correlation processing. A standard Kalman filter is typically
Passive_radar
Measure of the joint variability
spectral variability features for speaker verification". Digital Signal Processing. 50: 1–11. Bibcode:2016DSP....50....1S. doi:10.1016/j.dsp.2015.10.011
Covariance
Generates a forecast of future values of a time series
analysis of time-series data. Exponential smoothing is one of many window functions commonly applied to smooth data in signal processing, acting as low-pass
Exponential_smoothing
NASA/ESA space telescope launched in 1990
2022. Max, Claire (2001). "Introduction to Adaptive Optics and its History" (PDF). Center for Adaptive Optics. Archived (PDF) from the original on April
Hubble_Space_Telescope
Military discipline
and adaptive enemy. Battle command applies leadership to translate decision into actions, by synchronizing forces and warfighting functions in time, space
Battle_command
System composed of many interacting components
involve information feedback loops. Complex adaptive systems are special cases of complex systems that are adaptive in that they have the capacity to change
Complex_system
exponential distribution, which describes the time between consecutive rare random events in a process with no memory. The exponential-logarithmic distribution
List of probability distributions
List_of_probability_distributions
Deep learning architecture
limitations of transformer models, especially in processing long sequences, and it is based on the Structured State Space sequence (S4) model. To enable handling
Mamba (deep learning architecture)
Mamba_(deep_learning_architecture)
Underwater acoustic signal processing
processing Mazur, Martin. Sonar Signal Processing (PDF). Penn State Applied Research Laboratory. p. 14. William C. Knight. Digital Signal Processing for
Sonar_signal_processing
Process for problem solving
Double Diamond is a design process model popularized by the British Design Council in 2005. The process was adapted from the divergence-convergence model
Double Diamond (design process model)
Double_Diamond_(design_process_model)
American spaceflight and AI company
Around this time, SpaceX began building test prototypes for SpaceX Starship, the largest launch vehicle in history. SpaceX plans to adapt it as a human
SpaceX
Subsystem of the immune system
as with chickenpox. This process of adaptive immunity is the basis of vaccination. The cells that carry out the adaptive immune response are white blood
Adaptive_immune_system
Class of algorithms for pattern analysis
processing. Kernel methods owe their name to the use of kernel functions, which enable them to operate in a high-dimensional, implicit feature space without
Kernel_method
Resource problem in machine learning
actions (Tokic & Palm, 2011). Adaptive epsilon-greedy strategy based on Bayesian ensembles (Epsilon-BMC): An adaptive epsilon adaptation strategy for
Multi-armed_bandit
Process of forming order by local interactions
is unnecessary to create order in nature, arguing that given enough time and space and matter, order emerges by itself. The philosopher René Descartes
Self-organization
Class of artificial neural network
recurrent neural networks (RNNs) are designed for processing sequential data, such as text, speech, and time series, where the order of elements is important
Recurrent_neural_network
1109/ICC.1995.524451. Bores, T.; Raleigh, G.G.; Pollack, M.A. (1996). Adaptive space-time equalization for rapidly fading communication channels. IEEE Global
Gregory_Raleigh
Type of statistical measure over subsets of a dataset
Mathematically, a moving average is a type of convolution. Thus in signal processing it is viewed as a low-pass finite impulse response filter. Because the
Moving_average
Field of machine learning
Apostolos N.; Katehakis, Michael N. (1997), "Optimal adaptive policies for Markov Decision Processes", Mathematics of Operations Research, 22 (1): 222–255
Reinforcement_learning
Italian electronic engineer
publication by him also accounts for ideas and applications on adaptive radar signal processing. He has also been the contributor to the article on ECCM, invited
Alfonso_Farina
Diagnostic plot of binary classifier ability
DETs". 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07. Vol. 4. pp. IV–229–IV–232. doi:10.1109/ICASSP.2007.367205
Receiver operating characteristic
Receiver_operating_characteristic
Estimator for quality of a statistical model
"Model-order selection: a review of information criterion rules", IEEE Signal Processing Magazine, 21 (July): 36–47, Bibcode:2004ISPM...21...36S, doi:10.1109/MSP
Akaike_information_criterion
Signal representation
outside of that time period. Some specialized signal processing techniques for dynamic functions use transforms that result in a joint time–frequency domain
Frequency_domain
Machine learning technique
Informatica 44: 291–302. S. Bozinovski (1981). "Teaching space: A representation concept for adaptive pattern classification." COINS Technical Report, the
Transfer_learning
Process where information about current status is used to influence future status
engineering of adaptive software, as they define the behaviour of the interactions among the control elements over the adaptation process, to guarantee
Feedback
Statistical hypothesis test for forecasting
{\displaystyle X} Granger-causes Y {\displaystyle Y} . If a time series is a stationary process, the test is performed using the level values of two (or
Granger_causality
Problem setup in machine learning
vision, natural language processing, and machine perception. The first paper on zero-shot learning in natural language processing appeared in a 2008 paper
Zero-shot_learning
Computational model used in machine learning
information processing in biological systems via connectionism. Unlike the von Neumann model, connectionist computing does not separate memory and processing.[citation
Neural network (machine learning)
Neural_network_(machine_learning)
parking spaces, car location when returning to the vehicle and improve their experience. This includes adaptive lighting sensors and parking space indicators
Parking guidance and information
Parking_guidance_and_information
Mathematical function for the probability a given outcome occurs in an experiment
stochastic processes defined in continuous time, may demand the use of more general probability measures. A probability distribution whose sample space is one-dimensional
Probability_distribution
Biological system protecting an organism against disease
For example, adaptive immunity provides the ability to adapt to recognize pathogens more efficiently (somatic hypermutation). This process creates an immunological
Immune_system
Astronomical observatory in Chile
southern sky every few nights, creating a ten-year time-lapse record, termed the Legacy Survey of Space and Time (also abbreviated LSST). The observatory is
Vera_C._Rubin_Observatory
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