WebSAMPLING THEOREM AIM: To verify the waveforms of sampling theorem. APPARATUS 1. Personal computer 2. Matlab2010 PROGRAM clc; clear all; close all; t=-10:0.01:10; T=4; fm=1/T; x=cos (2*pi*fm*t); subplot (2,2,1); plot (t,x); title ('msg signal'); xlabel ('time'); ylabel ('amplitude'); fs1=1.6*fm; fs2=2*fm; fs3=8*fm; n1=-4:1:4; WebOct 1, 2024 · It is used to increase the sample rate of a signal by an integer factor. Syntax: a = interp (x, r) Parameter: x: input signal r: interpolation factor Return Value: Returns interpolated signal MATLAB code for interpolation of a signal: MATLAB % time vector t = 0 : .00025 : 1; x = sin (2 * pi * 50 * t) + sin (2 * pi * 100 * t);
Lecture 1 Matlab Simulink Sampling Theorem and Fourier Transform
WebNov 21, 2024 · Download and share free MATLAB code, including functions, models, apps, support packages and toolboxes WebJul 15, 2024 · In this you'll know the basic of coding in Matlab related to signals and systems. For example you will learn about how to code for sampling of a cosine signal … github openwrt wall
GitHub - vasudevpooja/DSP-Lab-Codes: Digital Signal Processing …
WebSampling and reconstruction of signal in Matlab. I'm trying to write a program in Matlab that samples (using Nyquist theorem) and recovers signal. I got stucked on recovery … WebJul 21, 2011 · Sampling Theorem mainly falls into two categories : 1) Baseband Sampling – Applied for signals in the baseband (useful frequency components extending from 0Hz to some Fm Hz) 2) Bandpass Sampling – Applied for signals whose frequency components extent from some F1 Hz to F2Hz (where F2>F1) In simple terms, the Nyquist Shannon … WebFeb 13, 2024 · You say your sampling rate is 100 Hz and the signal is 10 Hz. Lets define those along with the sampling period ( 1 / 100 seconds). sampleRate = 100; samplePeriod = 1/sampleRate; signalFreq = 10; Now you want 2 seconds of this, so define your sampled time vector. nT = 0:samplePeriod:2; Now we create the signal, and plot the result. furbush insurance camden ny