Sinusoidal signal Program : t=0:0.01:2; x=2*sin(pi*t); plot(t,x); grid on; xlabel('Time(sec)') ELECTRICAL DEPARTMENT BITS EDU CAMPUS Page 13 SIGNALS & SYSTEMS (2141005)
F How to structure a MATLAB project? We focus on two main topics in signal processing based on the Fourier transform, and on the wavelet transform. These important topics are fundamental to classical and to modern signal processing methods, and the discrete-time versions (FFT...
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This example shows how to avoid aliasing when downsampling a signal. If a discrete-time signal's baseband spectral support is not limited to an interval of width 2 π / M radians, downsampling by M results in aliasing. Aliasing is the distortion that occurs when overlapping copies of the signal's spectrum are added together.
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ECE 480 - Introduction to Discrete-Time Signals Prof. S. Awad Objective: The basic objective of this exercise is to familiarize you with Matlab and the basic discrete-time signals. Matlab is used as a tool to achieve this purpose. 1.Consider the curve y= 100 s 20 + (x=15 + 5)=5 (x=15 + 5)2=52 4 + ( x=15 + 15)2=52:
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Scope plots inputs against time. It has an extensive toolbar. The magnifying glass icon allows you to Plots the top input X against lower input Y in a figure within Simulink. Cannot easily change the Selectors : Accessing specific signals. In MATLAB to access the 3rd and 6th elements of a vector, V...
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3. Discrete-Time Signals A discrete signal will be denoted by x(n), in which the variable n is integer- valued and represents discrete instances in 43. Sequence Correlations Revisited Note that the signal-processing toolbox in MATLAB also provides a function called xcorr for sequence...
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Discrete-Time Filters ECE 223 Signals and Systems II Version 1.01 Spring 2006 1. DT Filter Design. Use MATLAB to design a discrete-time LTI bandpass ﬁlter with a maximum passband ripple of 0.5dB, a minimum stopband attenuation of 40dB, a passband range of 0.2π<Ω < 0.5π, and stopbands of 0 < Ω < 0.18π and 0.52π<Ω <π. a.