Inverse Transmittance Filtering Formula

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Inverse Transmittance Filtering in discrete signal processing involves applying a filter that replicates the inverse of a previously applied filter or system. Check FAQs
Kn=(sinc(πfinpfe))-1
Kn - Inverse Transmittance Filtering?finp - Input Periodic Frequency?fe - Sampling Frequency?π - Archimedes' constant?

Inverse Transmittance Filtering Example

With values
With units
Only example

Here is how the Inverse Transmittance Filtering equation looks like with Values.

Here is how the Inverse Transmittance Filtering equation looks like with Units.

Here is how the Inverse Transmittance Filtering equation looks like.

1.3069Edit=(sinc(3.14165.01Edit40.1Edit))-1
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Inverse Transmittance Filtering Solution

Follow our step by step solution on how to calculate Inverse Transmittance Filtering?

FIRST Step Consider the formula
Kn=(sinc(πfinpfe))-1
Next Step Substitute values of Variables
Kn=(sinc(π5.01Hz40.1Hz))-1
Next Step Substitute values of Constants
Kn=(sinc(3.14165.01Hz40.1Hz))-1
Next Step Prepare to Evaluate
Kn=(sinc(3.14165.0140.1))-1
Next Step Evaluate
Kn=1.30690509596491
LAST Step Rounding Answer
Kn=1.3069

Inverse Transmittance Filtering Formula Elements

Variables
Constants
Functions
Inverse Transmittance Filtering
Inverse Transmittance Filtering in discrete signal processing involves applying a filter that replicates the inverse of a previously applied filter or system.
Symbol: Kn
Measurement: NAUnit: Unitless
Note: Value can be positive or negative.
Input Periodic Frequency
Input Periodic Frequency is the number of complete cycles of a periodic phenomenon that occur in one second.
Symbol: finp
Measurement: FrequencyUnit: Hz
Note: Value should be greater than 0.
Sampling Frequency
Sampling Frequency defines the number of samples per second (or per other unit) taken from a continuous signal to make a discrete or digital signal.
Symbol: fe
Measurement: FrequencyUnit: Hz
Note: Value should be greater than 0.
Archimedes' constant
Archimedes' constant is a mathematical constant that represents the ratio of the circumference of a circle to its diameter.
Symbol: π
Value: 3.14159265358979323846264338327950288
sinc
The sinc function is a function that is frequently used in signal processing and the theory of Fourier transforms.
Syntax: sinc(Number)

Other formulas in Discrete Time Signals category

​Go Cutoff Angular Frequency
ωco=MfceWssK
​Go Hanning Window
Whn=12-(12)cos(2πnWss-1)
​Go Hamming Window
Whm=0.54-0.46cos(2πnWss-1)
​Go Triangular Window
Wtn=0.42-0.52cos(2πnWss-1)-0.08cos(4πnWss-1)

How to Evaluate Inverse Transmittance Filtering?

Inverse Transmittance Filtering evaluator uses Inverse Transmittance Filtering = (sinc(pi*Input Periodic Frequency/Sampling Frequency))^-1 to evaluate the Inverse Transmittance Filtering, The Inverse Transmittance Filtering formula is defined as in the Fourier transform plane an inverse filter is made from two separate filters, an amplitude and a phase filter. Inverse Transmittance Filtering is denoted by Kn symbol.

How to evaluate Inverse Transmittance Filtering using this online evaluator? To use this online evaluator for Inverse Transmittance Filtering, enter Input Periodic Frequency (finp) & Sampling Frequency (fe) and hit the calculate button.

FAQs on Inverse Transmittance Filtering

What is the formula to find Inverse Transmittance Filtering?
The formula of Inverse Transmittance Filtering is expressed as Inverse Transmittance Filtering = (sinc(pi*Input Periodic Frequency/Sampling Frequency))^-1. Here is an example- 1.306905 = (sinc(pi*5.01/40.1))^-1.
How to calculate Inverse Transmittance Filtering?
With Input Periodic Frequency (finp) & Sampling Frequency (fe) we can find Inverse Transmittance Filtering using the formula - Inverse Transmittance Filtering = (sinc(pi*Input Periodic Frequency/Sampling Frequency))^-1. This formula also uses Archimedes' constant and Sinc (sinc) function(s).
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