Why does the microcomputer often use a combination of analog and digital filtering?

The cut-off frequency, order, etc. can be flexibly set (depending on the algorithm), and the parameters are generally determined after the hardware filter is designed, and can only be adjusted by replacing the device.

This method can make the data more accurate and more advanced.

This reduces errors and results in more accurate results.

This is because both analog and digital filtering methods can be calculated precisely.

Because the microcomputer uses these two methods, the error can be reduced.

Because the combination of the two will greatly improve the accuracy of the instrument.

The combination of the two methods can be more accurate.

This is because the precision of the instrument will be greatly improved.

In order for the microcomputer to work more accurately.

In order to reduce the error, it can be more accurate.

Summary. Dear, I am glad to answer for you: the computer system can use the output of the previous software filter with the current sampling value, this filtering method is called A:

First-order low-pass filtering method first-order filtering, also known as first-order inertial filtering, or first-order low-pass filtering. The algorithm formula for first-order low-pass filtering is: y(n)= x(n) +1- )y(n-1) where:

filtering coefficient; x(n)=the value of this sample; y(n-1)=last filtered output value; y(n) = the output value of this filter. The first-order low-pass filtering method uses the weighting of the sampling value and the output value of the last filter to obtain the effective filter value, so that the output has a feedback effect on the input.

A computer system can use the output of a software filter several times before with the value of this sample, and this filtering method is called.

Aren't you okay yet? Dear, I'm glad to answer for you: the computer system can guess the output of the previous software filter with the sampling value, this filtering method is called A:

First-order low-pass filtering method first-order filtering, also known as first-order inertial filtering, or first-order low-pass filtering. The formula for the megaband method of first-order low-pass filtering is: y(n)= x(n) +1- )y(n-1) where:

filtering coefficient; x(n)=the value of this sample; y(n-1)=last filtered output value; y(n) = the output value of this filter. The first-order low-pass filtering method uses the value of the current sample of the rollover loss to be weighted with the output value of the last filter to obtain the effective filter value, so that the output has a feedback effect on the input.

A digital filter is an algorithm or device composed of a digital multiplier, an adder, and a delay unit. The function of the digital filter is to operate and process the digits** of the input discrete signal to achieve the purpose of changing the signal spectrum.

Resources.

The square wave contains abundant harmonics, adjacent harmonics, especially the higher harmonics, the frequency difference is not large, and it is difficult for general filters to effectively extract each harmonic.

Scheme 1: Use a simple RC bandpass filter and a phase-locked loop.

The pass band of the RC bandpass filter is designed to be as narrow as possible, the center frequency is set to the harmonic frequency to be extracted, and the output is a distorted waveform that mainly selects harmonics but contains a large content of adjacent harmonics.

Then through the phase-locked loop circuit, a purer sine wave can be obtained.

Scheme 2: The RLC resonant circuit with a very narrow pass band is used as the frequency selection network to adjust the resonant frequency to make it close to the harmonic frequency of the square wave.

The RLC resonant circuit can be connected in series with a resonant frequency of 1 2 LC.

Bandpass filters with different center frequencies.

It's a passive filter, an active filter, and a lot of books.

Try CAD, or you'll have to learn it step by step.

1. Definitions.

The so-called digital filtering is to reduce the proportion of interference in the desired signal through a certain calculation or judgment procedure. So it's essentially a kind of program filtering.

2. Algorithms. Arithmetic mean method, median value filtering method, limiting filtering method, inertial filtering method.