Filter (signal processing) and Multidimensional filter design and implementation

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Difference between Filter (signal processing) and Multidimensional filter design and implementation

Filter (signal processing) vs. Multidimensional filter design and implementation

In signal processing, a filter is a device or process that removes some unwanted components or features from a signal. Many concepts in one–dimensional signal processing are similar to concepts in multidimensional signal processing.

Algorithm

In mathematics and computer science, an algorithm is an unambiguous specification of how to solve a class of problems.

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Cepstrum

A cepstrum is the result of taking the inverse Fourier transform (IFT) of the logarithm of the estimated spectrum of a signal.

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Convolution

In mathematics (and, in particular, functional analysis) convolution is a mathematical operation on two functions (f and g) to produce a third function, that is typically viewed as a modified version of one of the original functions, giving the integral of the pointwise multiplication of the two functions as a function of the amount that one of the original functions is translated.

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Digital image processing

In computer science, Digital image processing is the use of computer algorithms to perform image processing on digital images.

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Discrete time and continuous time

In mathematics and in particular mathematical dynamics, discrete time and continuous time are two alternative frameworks within which to model variables that evolve over time.

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Finite impulse response

In signal processing, a finite impulse response (FIR) filter is a filter whose impulse response (or response to any finite length input) is of finite duration, because it settles to zero in finite time.

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Frequency

Frequency is the number of occurrences of a repeating event per unit of time.

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Infinite impulse response

Infinite impulse response (IIR) is a property applying to many linear time-invariant systems.

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Radar

Radar is an object-detection system that uses radio waves to determine the range, angle, or velocity of objects.

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Signal processing

Signal processing concerns the analysis, synthesis, and modification of signals, which are broadly defined as functions conveying "information about the behavior or attributes of some phenomenon", such as sound, images, and biological measurements.

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Transfer function

In engineering, a transfer function (also known as system function or network function) of an electronic or control system component is a mathematical function giving the corresponding output value for each possible value of the input to the device.

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