Pre-requisites Sampling theorem – baseband sampling How to Interpret FFT results – complex DFT, frequency bins and FFTShift Analytic signal, Hilbert Transform and FFT Introduction The concept of instantaneous amplitude/phase/frequency…

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Pre-requisites Sampling theorem – baseband sampling How to Interpret FFT results – complex DFT, frequency bins and FFTShift Introduction Fourier Transform of a real-valued signal is complex-symmetric. It implies that…

This tutorial is a part of the website http://www.gaussianwaves.com and created under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. You must credit the author in your work if you remix, tweak,…

Read More OFDM and Cyclic Prefix – a handson demonstration using Matlab

This article is also available in PDF format – Free Download here. Looking for the proper way to generate AWGN noise in Matlab/Octave ? Here you go… AWGN – the…

Read More How to generate AWGN noise in Matlab/Octave (without using in-built awgn function)

Auto-correlation, also called series correlation, is the correlation of a given sequence with itself as a function of time lag. Cross-correlation is a more generic term, which gives the correlation…

Read More Constructing the Auto Correlation Matrix in Matlab

Numerous texts are available to explain the basics of Discrete Fourier Transform and its very efficient implementation – Fast Fourier Transform (FFT). Often we are confronted with the need to…

Read More Chirp Signal – Frequency Sweeping – FFT and power spectral density

Articles in this series: How to Interpret FFT results – complex DFT, frequency bins and FFTShift How to Interpret FFT results – obtaining Magnitude and Phase information FFT and Spectral…

Read More Generating Basic Signals – Gaussian Pulse and Power Spectral Density using FFT

Numerous texts are available to explain the basics of Discrete Fourier Transform and its very efficient implementation – Fast Fourier Transform (FFT). Often we are confronted with the need to…

Read More Generating Basic signals – Rectangular Pulse and Power Spectral Density using FFT

Numerous texts are available to explain the basics of Discrete Fourier Transform and its very efficient implementation – Fast Fourier Transform (FFT). Often we are confronted with the need to…

Read More Generating Basic signals – Square Wave and Power Spectral Density using FFT

Articles in this series: How to Interpret FFT results – complex DFT, frequency bins and FFTShift How to Interpret FFT results – obtaining Magnitude and Phase information FFT and Spectral…

Read More How to plot FFT using Matlab – FFT of basic signals : Sine and Cosine waves

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