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…

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…

Read More How to interpret FFT results – obtaining magnitude and phase information

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…

Read More How to Interpret FFT results – complex DFT, frequency bins and FFTShift

‘Gaussianwaves Answers’ – a new Q&A type forum is open and is ready for use by everyone. This discussion forum is open to all, and all are encouraged to contribute…

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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)

Introducing The Kalman Filter – Ramsey Faragher PDF Text: click here PDF Text: click here

Calculating the energy and power of a signal was discussed in one of the previous posts. Here, we will verify the method by using Discrete Fourier Transform (DFT) in Matlab.…

Read More Computation of Power of a Signal in Matlab – Simulation and Verification

Calculating the energy and power of a signal was discussed in one of the previous posts. I have received numerous queries on this topic. I intend to elaborate on this…

Frequency Transform is used to study a signal’s frequency domain characteristics. When using FFT to study the frequency domain characteristics of a signal, there are two limits : 1) The…

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