Filter theory

Electrical filter theory has been used with considerable success for some enclosure types.

The term is often encountered in filter theory, but it applies to general electrical network analysis.

This supports Broadbent's filter theory and an early selection model because participants filtered the information based on ear.

Filter theory is a sociological theory concerning dating and mate selection.

Hence the theory is often called the Wiener-Kolmogorov filtering theory.

Mechanical filter design was developed by applying the discoveries made in electrical filter theory to mechanics.

More advanced filter theory was brought to bear on this problem by Norton in 1929 at Bell Labs.

This elementary result is the basis for the general Fujisaki-Kallianpur-Kunita equation of filtering theory.

A number of waveguide components have filter theory applied to their design but their purpose is something other than to filter signals.

Impedance matching networks are designed with a definite bandwidth, take the form of a filter, and use filter theory in their design.

Image filter theory grew out of transmission line theory and the design proceeded in a similar manner to transmission line analysis.

Filter theory reflects an early selection theory because certain information is selected and attended to at a very early stage of information processing.

In this effort, he revised and expanded a subject that included communication transmission lines, telephone repeaters, balancing networks, and filter theory.

Harrison used Campbell's image filter theory, which was the most advanced filter theory available at the time.

This approximation can be arrived at by treating the loaded line as a constant k filter and applying image filter theory to it.

Shimamura (2000) proposed dynamic filtering theory to describe the role of the prefrontal cortex in metacognitive or executive control processes.

Filter theory (sociology)

In filtering theory the Zakai equation is a linear stochastic partial differential equation for the un-normalized density of a hidden state.

Matheron continued to contribute to mathematical morphology during the years, his best-known contribution being the morphological filtering theory, which he developed with Serra in the 1980s.

He has authored several books on estimation and filtering theories, including the textbook Adaptive Filters, published by Wiley & Sons in 2008.

Early selection models such as Broadbent's early filter theory (1958) claim that attention filter out unattended information while in the middle of processing that information.

Transmission line theory gave rise to filter theory, which initially took a very similar form, and the main application of filters was for use on telecommunication transmission lines.

The first analogue filter design which went beyond a simple single resonator is due to George Ashley Campbell in 1910 and marked the beginning of filter theory.

Although much of Zobel's work has been superseded by more modern filter designs, it remains the basis of filter theory and his papers are still referenced today.

In digital signal processing, linear prediction is often called linear predictive coding (LPC) and can thus be viewed as a subset of filter theory.