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

# Category: Tips & Tricks

This post is a part of the book : Digital Modulations using Matlab : Build Simulation Models from Scratch – by Mathuranathan Viswanathan Pre-requisites Sampling theorem – baseband sampling How…

Pre-requisites Sampling theorem – baseband sampling How to Interpret FFT results – complex DFT, frequency bins and FFTShift Related topic: Analytic signal, Hilbert Transform and FFT Extracting instantaneous amplitude,phase,frequency –…

“What is the best filter that I should use?” is often the question asked by many. There exists two different types of Linear Time Invariant (LTI) filters from transfer function standpoint…

Generation of random variables with required probability distribution characteristic is of paramount importance in simulating a communication system. Here, I will demonstrate how we can generate a simple random variable, estimate &…

This tutorial is a part of the website https://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,…

In the previous post, Interpretation of frequency bins, frequency axis arrangement (fftshift/ifftshift) for complex DFT were discussed. In this post, I intend to show you how to obtain magnitude and…

Four types of Fourier Transforms: Often, one is confronted with the problem of converting a time domain signal to frequency domain and vice-versa. Fourier Transform is an excellent tool to…

Root Mean Square (RMS) value is the most important parameter that signifies the \(size \; of \; a \;signal\). Defining the term “size”: In signal processing, a signal is viewed…

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…

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