Mathematical operation that predicts future values of a discrete-time signal
Linear prediction is a mathematical operation where future values of a discrete-time signal are estimated as a linear function of previous samples.
In digital signal processing, linear prediction is often called linear predictive coding (LPC) and can thus be viewed as a subset of filter theory. In system analysis, a subfield of mathematics, linear prediction can be viewed as a part of mathematical modelling or optimization.
Linearprediction is a mathematical operation where future values of a discrete-time signal are estimated as a linear function of previous samples. In...
In statistics, best linear unbiased prediction (BLUP) is used in linear mixed models for the estimation of random effects. BLUP was derived by Charles...
slope of the linear interpolant, by regression-like techniques, on the data points chosen to be included. This is similar to linearprediction. A polynomial...
between linear and non-linear least squares. Regression models predict a value of the Y variable given known values of the X variables. Prediction within...
(which minimise the variance of the prediction error). When the generating models are nonlinear then stepwise linearizations may be applied within Extended...
9776, doi:10.1109/PROC.1972.8727 Strube, Hans Werner (Oct 1980), "Linearprediction on a warped frequency scale" (PDF), Journal of the Acoustical Society...
generalized linear model (GLM) is a flexible generalization of ordinary linear regression. The GLM generalizes linear regression by allowing the linear model...
Vector sum excited linearprediction (VSELP) is a speech coding method used in several cellular standards. The VSELP algorithm is an analysis-by-synthesis...
prediction of non-linear functionals of Gaussian stationary increment processes conditioned on their past realizations. Specifically, such prediction...
categories: If the goal is error i.e variance reduction in prediction or forecasting, linear regression can be used to fit a predictive model to an observed...
In statistics and in machine learning, a linear predictor function is a linear function (linear combination) of a set of coefficients and explanatory variables...
Coding Tool Set uses two algorithms: HVXC and CELP (Code Excited LinearPrediction). HVXC is used at a low bit rate of 2 or 4 kbit/s. Higher bitrates...
since been the most widely used speech coding method. Code-excited linearprediction (CELP), a type of LPC algorithm, was developed by Manfred R. Schroeder...
redundancy is reduced, using methods such as coding, quantization, DCT and linearprediction to reduce the amount of information used to represent the uncompressed...
specific class. It is a type of linear classifier, i.e. a classification algorithm that makes its predictions based on a linear predictor function combining...