block mean-squared error
1Block matching — Saltar a navegación, búsqueda Algoritmo utilizado en la estimación de movimiento, consistente en la eliminación de redundancia temporal entre dos o más fotogramas sucesivos. Se ha convertido en una técnica fundamental en la mayoría de los… …
2Algorithme de block-matching — Un algorithme de block matching ((en) Block Matching Algorithm) est une méthode utilisée pour encoder le mouvement dans une séquence vidéo en localisant des blocs similaires entre deux images. En compression vidéo, plusieurs normes vidéo telles… …
3Randomized block design — In the statistical theory of the design of experiments, blocking is the arranging of experimental units in groups (blocks) that are similar to one another. Typically, a blocking factor is a source of variability that is not of primary interest to …
4List of statistics topics — Please add any Wikipedia articles related to statistics that are not already on this list.The Related changes link in the margin of this page (below search) leads to a list of the most recent changes to the articles listed below. To see the most… …
5Linear least squares/Proposed — Linear least squares is an important computational problem, that arises primarily in applications when it is desired to fit a linear mathematical model to observations obtained from experiments. Mathematically, it can be stated as the problem of… …
6Linear least squares (mathematics) — This article is about the mathematics that underlie curve fitting using linear least squares. For statistical regression analysis using least squares, see linear regression. For linear regression on a single variable, see simple linear regression …
7Linear least squares — is an important computational problem, that arises primarily in applications when it is desired to fit a linear mathematical model to measurements obtained from experiments. The goals of linear least squares are to extract predictions from the… …
8Rate–distortion theory — is a major branch of information theory which provides the theoretical foundations for lossy data compression; it addresses the problem of determining the minimal amount of entropy (or information) R that should be communicated over a channel, so …
9Motion estimation — is the process of determining motion vectors that describe the transformation from one 2D image to another; usually from adjacent frames in a video sequence. It is an ill posed problem as the motion is in three dimensions but the images are a… …
10Distributed source coding — (DSC) is an important problem in information theory and communication. DSC problems regard the compression of multiple correlated information sources that do not communicate with each other.[1] By modeling the correlation between multiple sources …
