Similarities between Convolutional code and Z-transform
Convolutional code and Z-transform have 4 things in common (in Unionpedia): Convolution, Finite impulse response, Linear time-invariant theory, Transfer function.
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.
Convolution and Convolutional code · Convolution and Z-transform ·
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.
Convolutional code and Finite impulse response · Finite impulse response and Z-transform ·
Linear time-invariant theory
Linear time-invariant theory, commonly known as LTI system theory, comes from applied mathematics and has direct applications in NMR spectroscopy, seismology, circuits, signal processing, control theory, and other technical areas.
Convolutional code and Linear time-invariant theory · Linear time-invariant theory and Z-transform ·
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.
Convolutional code and Transfer function · Transfer function and Z-transform ·
The list above answers the following questions
- What Convolutional code and Z-transform have in common
- What are the similarities between Convolutional code and Z-transform
Convolutional code and Z-transform Comparison
Convolutional code has 58 relations, while Z-transform has 67. As they have in common 4, the Jaccard index is 3.20% = 4 / (58 + 67).
References
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