Analysis of discrete convolution in the matlab program

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SCIENTIFIC PROGRESS
 
VOLUME 2 ǀ ISSUE 4 ǀ 2021 
ISSN: 2181-1601
Uzbekistan
 
www.scientificprogress.uz
  
Page 1023
ANALYSIS OF DISCRETE CONVOLUTION IN THE MATLAB PROGRAM 
Mokhirakhon Kurbonalievna Khusanova 
Lecturer, Fergana branch of TUIT named after Muhammad Al-Khorazmiy 
ABSTRACT 
In the section article, discrete convolution, general descriptions of the correlation 
process described in the correlation process and its effects on the impulse response, the 
results obtained in the Matlab program are explained in the example of practical results.
Keywords:
Discrete convolution, correlation, impulse response, continuous signal, 
discrete signal, filter coefficients, sequences.
 
INTRODUCTION
Like a number of processes, convolution can be both permanent and discrete. 
Definitional convolution can be used for two functions or sequences, and control the 
outcome function or sequence at the output. 
Figure 1. Mutual convolution of two functions 
Constant convolution is a type of integral substitution, which is essentially very 
close to the correlation function. 
Figure 2. Mutual convolution of two functions 
Recalling the correlation function, we evaluated the degree of similarity of one 
function to another over time, in other words, we could calculate the area of change 
from one function to another and the area of overlap. The degree of similarity is 
reflected by the reflection of one function in the convolution, and its time is shifted by 
the second function. Let us now consider an example of the calculation of a discrete 
convolution, that is, the convolution of two sequences, knowing that in the transition 
from continuous signals to discrete, the integration operations are replaced by some 

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