sampled-data model
1Sampled data systems — A sampled data system is a control system where a continuous time plant (control theory) is controlled with a digital device. Under periodic sampling, the sampled data system is time varying but also periodic, and thus it may be modeled by a… …
2Model predictive control — Model Predictive Control, or MPC, is an advanced method of process control that has been in use in the process industries such as chemical plants and oil refineries since the 1980s. Model predictive controllers rely on dynamic models of the… …
3Data transmission — Data transmission, digital transmission, or digital communications is the physical transfer of data (a digital bit stream) over a point to point or point to multipoint communication channel. Examples of such channels are copper wires, optical… …
4Data compression — Source coding redirects here. For the term in computer programming, see Source code. In computer science and information theory, data compression, source coding or bit rate reduction is the process of encoding information using fewer bits than… …
5Atkinson–Shiffrin memory model — Note that in this diagram, sensory memory is detached from either form of memory, and represents its development from short term and long term memory, due to its storage being used primarily on a run time basis for physical or psychosomatic… …
6Digital elevation model — 3D rendering of a DEM of Tithonium Chasma on Mars A digital elevation model is a digital model or 3 D representation of a terrain s surface commonly for a planet (including Earth), moon, or asteroid created from terrain elevation data. There is… …
7Statistical model — A statistical model is a formalization of relationships between variables in the form of mathematical equations. A statistical model describes how one or more random variables are related to one or more random variables. The model is statistical… …
8Autoregressive moving average model — In statistics, autoregressive moving average (ARMA) models, sometimes called Box Jenkins models after the iterative Box Jenkins methodology usually used to estimate them, are typically applied to time series data.Given a time series of data X t …
9Generative model — In statistics, a generative model is a model for randomly generating observed data, typically given some hidden parameters. It specifies a joint probability distribution over observation and label sequences. Generative models are used in machine… …
10Audio compression (data) — For processes which reduce the amount of time it takes to listen to and understand a recording, see time compressed speech. Audio compression is a form of data compression designed to reduce the size of audio files. Audio compression algorithms… …
