ADC_Lab_03_Fall_2019.docx - Analogue and Digital...

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Analogue and Digital Communication Lab (EL-323) LABORATORY MANUAL Dr. Waqas Bin Abbas Engr. Fakhar Abbas Introduction to Energy/ Power Signals and Lowpass/Bandpass Signals using MATLAB (LAB # 03) Student Name: ______________________________________________ Roll No: ________________Section: ____ Date performed: _____________, 2019 ____________________________________________________________________________________________________________________________________________________________ NATIONAL UNIVERSITY OF COMPUTER AND EMERGING SCIENCES, ISLAMABAD Prepared by: Engr. Fakhar Abbas Version: 2.01 Verified by: Dr. Waqas Bin Abbas Updated: Fall 2019
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Analogue and Digital Communication Lab National University of Computer and Emerging Sciences Islamabad Roll No: __________ Lab # 03 (EL323) Fall 2019 ____________________________________________________________________________________ Lab # 03: Introduction to Energy/Power Signals and Lowpass Equivalent of Bandpass Signal Learning Objectives: 1. Introduction to Symbols in MATLAB 2. Computing Area under the curve in discrete and continuos time 3. Classification of signal in terms of energy and power 4. Verificaion of Energy and Power signal in MATLAB 5. Finding Lowpass Equivalent of Bandpass Signal using Hilbert Transform Equipment Required: 1. PC 2. MATLAB Description: We have considered the numerical capabilities of MATLAB by which numerical data is transformed into numerical data. There will be many situations when we would like to do algebraic or calculus operations resulting in terms of variables rather than numerical data. For instance, we might want to find a formula to solve quadratic algebraic equations, or find an integral, or obtain the Laplace, or the Fourier transform of a signal. For those cases MATLAB provides the Symbolic Math Toolbox. In this lab, an introduction to symbolic computations by means of examples is given. Keyword: syms It’s a shorcut for creating symbolic objects in MATLAB. Syntax: syms arg1 arg2 Introduction to Symbolic Tools: MATLAB is basically a numerical system, but the addition of a symbolic toolbox has transformed MATLAB to a more powerful tool in engineering problem solving. When doing symbolic mathematics, the result of evaluating an expression is generally another expression. By keeping the variables unknown throughout consecutive steps of calculations, the toolbox yields exact answers with more accuracy than numerical approximation methods. You can tell MATLAB to manipulate expressions that let you compute with mathematical symbols rather than numbers. The symbolic toolbox is a symbolic-math package with extensive computational capabilities such as integration, differentiation, series expansion, solution of algebraic and differential equations, to name just a few. The symbolic toolbox is based on the MAPLE kernel as an engine to handle symbolic mathematics.
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