Introduction of High pass filter

The main objective of this report is to remove the noise from the audio, as well as in this report the researcher followed the analytical descriptive method. The study is about the sample that is in the audio file as well as that is save on the formula (WAVE), and this is study based on MATLAB and we design the filter that remove the noise from the audio file, with the noise signal insert the audio signal into the filter as well as get the output which is free from noise.

Here we are design the high pass filter that basically an electronic device that allow the signal to pass with higher frequency as the frequencies lower than the cut off frequency. On the filter design the amount of attenuation for every frequency is depend. High pass filter mostly a LT system. As we design the circuit for the removal of noise. As we discuss the audible range for humans is almost 20 Hz to 20 kHz. On a piano the lowest note has a frequency of 27.5 hertz. On a piano the highest note has a frequency of 4186 hertz.

Here we also draw the circuit diagram of the high pass filter

By our choice of R & C we adjust the cut off frequency we use the values that resistance is 680 ohm capacitor is 0.1 micro farad as well as the frequency is 2.5 kHz. Because of this 2.5 kHz or more than this frequency will pass.

Now we design the high pass filter for removing the sound noise

Design of High pass filter

Matlab code of High pass filter

For low of High pass filter

Result of High pass filter

For high frequencies

For low frequencies

Conclusion of High pass filter

It is concluded that in a wave format in this report a sound sample was taken. On a low pass filter the sound sample was passed where after the new noise reduction new audio signal is obtained. With the different frequencies as well as ripple factor the low pass filter is used to reduce the noise through the signals. By the computation of the different equation these filters perform the filtering operation.

So we design the different code for the clearness of the voice for low and high frequency. It is concluded that we use the Butter worth filter in which low pass, high pass as well as band pass filter is used.