Sampling Theorem Calculator

Sampling Frequency - (Measured in Hertz) - Sampling frequency is defined as the number of samples per second in a sound.
Maximum Frequency - (Measured in Hertz) - Maximum Frequency is the highest frequency of a band-limited continuous-time signal.

STEP 1: Convert Input(s) to Base Unit

Maximum Frequency: 0.153 Kilohertz --> 153 Hertz (Check conversion here)

STEP 2: Evaluate Formula

Substituting Input Values in Formula

f_s = 2*f_m --> 2*153

Evaluating ... ...

f_s = 306

STEP 3: Convert Result to Output's Unit

306 Hertz -->0.306 Kilohertz (Check conversion here)

FINAL ANSWER

0.306 Kilohertz <-- Sampling Frequency

(Calculation completed in 00.004 seconds)

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Created by Akshada Kulkarni

National Institute of Information Technology (NIIT), Neemrana

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< 14 Modulation Techniques Calculators

Bandwidth of Multilevel FSK

Go Bandwidth of Multilevel FSK = Bit Rate*(1+Rolloff Factor)+(2*Difference in Frequency*(Number of Level-1))

Bandwidth of Multilevel PSK

Go Bandwidth of Multilevel PSK = Bit Rate*((1+Rolloff Factor)/(log2(Number of Level)))

Probability Error of BPSK for Raised Cosine Filter

Go Probability Error of BPSK = (1/2)*erfc(sqrt(Energy per Symbol/Noise Density))

Bandwidth of FSK

Go Bandwidth of FSK = Bit Rate*(1+Rolloff Factor)+(2*Difference in Frequency)

Bandwidth of ASK given Bit Rate

Go Bandwidth of ASK = (1+Rolloff Factor)*(Bit Rate/Number of Bits)

Rolloff Factor

Go Rolloff Factor = ((Bandwidth of ASK*Number of Bits)/Bit Rate)-1

Bandwidth of Raised Cosine Filter

Go Bandwidth of Raised Cosine Filter = (1+Rolloff Factor)/(2*Signal Time Period)

Signal Time Period

Go Signal Time Period = (1+Rolloff Factor)/(2*Bandwidth of Raised Cosine Filter)

Probability Error of DPSK

Go Probability Error of DPSK = (1/2)*e^(-(Energy per Bit/Noise Density))

Bandwidth Efficiency in Digital Communication

Go Bandwidth Efficiency = Bit Rate/Signal Bandwidth

Symbol Time

Go Symbol Time = Bit Rate/Bits Conveyed Per Symbol

Baud Rate

Go Baud Rate = Bit Rate/Number of Bits

Sampling Theorem

Go Sampling Frequency = 2*Maximum Frequency

Sampling Period

Go Sampling Period = 1/Sampling Frequency

Sampling Theorem Formula

Sampling Frequency = 2*Maximum Frequency
f_s = 2*f_m

What is Sampling theorem?

The sampling theorem, which is also called as Nyquist theorem, delivers the theory of sufficient sample rate in terms of bandwidth for the class of functions that are bandlimited.
The sampling theorem states that, “a signal can be exactly reproduced if it is sampled at the rate which is greater than twice the maximum frequency.” The output sample signal is represented by samples.

How to Calculate Sampling Theorem?

Sampling Theorem calculator uses Sampling Frequency = 2*Maximum Frequency to calculate the Sampling Frequency, Sampling Theorem can be defined a signal can be exactly reproduced if it is sampled at the rate fs, which is greater than or equal to twice the maximum frequency or Nyquist frequency of the given signal. Sampling Frequency is denoted by f_s symbol.

How to calculate Sampling Theorem using this online calculator? To use this online calculator for Sampling Theorem, enter Maximum Frequency (f_m) and hit the calculate button. Here is how the Sampling Theorem calculation can be explained with given input values -> 0.000306 = 2*153.

FAQ

What is Sampling Theorem?

Sampling Theorem can be defined a signal can be exactly reproduced if it is sampled at the rate fs, which is greater than or equal to twice the maximum frequency or Nyquist frequency of the given signal and is represented as f_s = 2*f_m or Sampling Frequency = 2*Maximum Frequency. Maximum Frequency is the highest frequency of a band-limited continuous-time signal.

How to calculate Sampling Theorem?

Sampling Theorem can be defined a signal can be exactly reproduced if it is sampled at the rate fs, which is greater than or equal to twice the maximum frequency or Nyquist frequency of the given signal is calculated using Sampling Frequency = 2*Maximum Frequency. To calculate Sampling Theorem, you need Maximum Frequency (f_m). With our tool, you need to enter the respective value for Maximum Frequency and hit the calculate button. You can also select the units (if any) for Input(s) and the Output as well.

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