error vector
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Error vector magnitude — The error vector magnitude or EVM is a measure used to quantify the performance of a digital radio transmitter or receiver. A signal sent by an ideal transmitter or received by a receiver would have all constellation points precisely at the ideal … Wikipedia
Vector autoregression — (VAR) is an econometric model used to capture the evolution and the interdependencies between multiple time series, generalizing the univariate AR models. All the variables in a VAR are treated symmetrically by including for each variable an… … Wikipedia
Vector quantization — is a classical quantization technique from signal processing which allows the modeling of probability density functions by the distribution of prototype vectors. It was originally used for data compression. It works by dividing a large set of… … Wikipedia
Vector Prime — es un personaje ficticio de los Transformers: Cybertron toyline, serie de dibujos animados y cómics. En la ficción es un antiguo Autobot, uno de los primero en ser creado, con poderes sobre el tiempo y el espacio, y se convierte en una nave… … Wikipedia Español
Vector sum excited linear prediction — (VSELP) is a speech coding method used in the IS 54 standard. This codec was used in early TDMA cell phones in the United States. It was also used in the first version of RealAudio for audio over the Internet. The IS 54 VSELP standard was… … Wikipedia
Vector — Para otros usos de este término, véase Vector (desambiguación). Este artículo trata sobre el concepto físico de vector. Para el tratamiento matemático formal, véase Espacio Vectorial. Un vector desde A hasta B. En física, mate … Wikipedia Español
Modulation error ratio — The modulation error ratio or MER is a measure used to quantify the performance of a digital radio transmitter or receiver in a communications system using digital modulation (such as QAM). A signal sent by an ideal transmitter or received by a… … Wikipedia
Support vector machine — Support vector machines (SVMs) are a set of related supervised learning methods used for classification and regression. Viewing input data as two sets of vectors in an n dimensional space, an SVM will construct a separating hyperplane in that… … Wikipedia
Minimum mean square error — In statistics and signal processing, a minimum mean square error (MMSE) estimator describes the approach which minimizes the mean square error (MSE), which is a common measure of estimator quality. The term MMSE specifically refers to estimation… … Wikipedia
Tasa de Error de Modulación — MER(Modulation Error Rate/Tasa de Error de Modulación) La Tasa de Error de Modulación o, por sus siglas inglesas, MER define un factor que nos informa de la exactitud de una constelación digital. Esta es una herramienta cuantitativa que permite… … Wikipedia Español
Standard error (statistics) — For a value that is sampled with an unbiased normally distributed error, the above depicts the proportion of samples that would fall between 0, 1, 2, and 3 standard deviations above and below the actual value. The standard error is the standard… … Wikipedia
