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…

# Tag: FFT

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 –…

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…

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…

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…

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…

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…

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…

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