Scribd
Upload
66 views13 pages

Discrete Signal Processing Lab Report

This document summarizes a student's lab report on time domain analysis of discrete time signals and systems. The lab experiments included: 1) defining and calling user functions in MATLAB, 2) visualizing, preprocessing and extracting features from a random discrete signal using a signal analyzer, 3) deriving a technique to obtain an original periodic signal from its noisy auto-correlation function, 4) implementing various codes to analyze discrete signals, and 5) a discussion of using MATLAB and signal analyzer for discrete time signals and the concepts of auto-correlation and cross-correlation functions. The document provides the student's name, course details, date, tasks completed and outputs from running codes in MATLAB.

Uploaded by

OSAMA HARAMINE SINAN 1802015
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
66 views13 pages

Discrete Signal Processing Lab Report

This document summarizes a student's lab report on time domain analysis of discrete time signals and systems. The lab experiments included: 1) defining and calling user functions in MATLAB, 2) visualizing, preprocessing and extracting features from a random discrete signal using a signal analyzer, 3) deriving a technique to obtain an original periodic signal from its noisy auto-correlation function, 4) implementing various codes to analyze discrete signals, and 5) a discussion of using MATLAB and signal analyzer for discrete time signals and the concepts of auto-correlation and cross-correlation functions. The document provides the student's name, course details, date, tasks completed and outputs from running codes in MATLAB.

Uploaded by

OSAMA HARAMINE SINAN 1802015
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
You are on page 1/ 13

Department of Electrical and Electronic Engineering

Name of the Experiment:


Time Domain Analysis of Discrete Time Signals
and Syst

Course No : EEE 366


Course Title : Digital Signal Processing Sessional
Experiment No : 02
Date of Experiment : 17.12.2022
Date of Submission : 27.12.2022

Remarks

Name : Osama Haramine Sinan


ID No : 1802015
Level : 3
Term : 2
Section : A
Group : A1
Task 1
User Defined Function:

Calling the Function:

1|Page
Output:

Task 2:
Visualizing, pre-processing, extracting feature of a discrete time signal using
signal analyzer.
A random discrete signal:

2|Page
Visualizing the signal:

3|Page
Preprocessing the signal:

Figure 04: A low pass filter Figure 05: A high pass filter

Figure 06: A band pass filter Figure 07: A band stop filter

4|Page
Extracting features of the signal:

5|Page
Task 3 (Lab Exercise D.2):
Deriving a technique to obtain the original periodic signal if we have ACF of
the noisy sequence.
Code:

Output:

6|Page
Task 4 (End of the experiment exercises 01):
Code:

7|Page
Output:

8|Page
Task 5 (End of experiment exercises 02):
Code:

Output:

9|Page
Task 6 (End of experiment exercise 03):
Code:

10 | P a g e
Output:

Task 7 (End of experiment exercises 04):


Code:

11 | P a g e
Output:

Discussions:
In this lab exercise, MATLAB is being used to generate and experiment different
discrete and continuous signals. “Signal Analyzer” was used to analyze a discrete
time signal. But this software does not display discrete signal and outputs a
reconstructed signal. There were two terms called CCF (Cross Correlation
Function) and ACF (Auto Correlation Function) which were implemented on
different types of discrete signals.

12 | P a g e

You might also like