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Instantaneous Frequency Measurement

Parth VakilParth Vakil February 4, 200821 comments

Measuring carrier frequency quickly and with minimal data matters in radar and signal characterization. Parth Vakil explains the delay-and-multiply instantaneous frequency measurement technique, shows how analytic signals and multiple delays resolve the 2π ambiguity, and demonstrates noise, phase-wrapping, and interferer effects using MATLAB code. He also outlines practical mitigations like phase unwrapping and channelization.


Modelling a Noisy Communication Signal in MATLAB for the Analog to Digital Conversion Process

Parth VakilParth Vakil October 30, 200713 comments

Practical signal modeling treats receiver noise as a fixed power source, not something tied to the transmitted waveform. Parth demonstrates why using MATLAB's awgn(sig,SNR,'measured') can misrepresent an analog front end and provides a short function that scales your signal so the added AWGN produces the desired receiver noise variance. This prepares realistic inputs for upcoming ADC simulations.


Hello and Introduction

Parth VakilParth Vakil September 14, 20071 comment

Hello all.

I would like to take this chance to talk a little about what I am going to try and do in this blog. While working in the field, I have come across some interesting techniques. It has, at times, taken some time and effort to understand these techniques. Ever since I was a kid, I have overestimated my capacity to remember everything that I learn. So, I had decided to start keeping a journal of all the techniques that started to make sense. This blog provides a great way for me to...


Instantaneous Frequency Measurement

Parth VakilParth Vakil February 4, 200821 comments

Measuring carrier frequency quickly and with minimal data matters in radar and signal characterization. Parth Vakil explains the delay-and-multiply instantaneous frequency measurement technique, shows how analytic signals and multiple delays resolve the 2π ambiguity, and demonstrates noise, phase-wrapping, and interferer effects using MATLAB code. He also outlines practical mitigations like phase unwrapping and channelization.


Modelling a Noisy Communication Signal in MATLAB for the Analog to Digital Conversion Process

Parth VakilParth Vakil October 30, 200713 comments

Practical signal modeling treats receiver noise as a fixed power source, not something tied to the transmitted waveform. Parth demonstrates why using MATLAB's awgn(sig,SNR,'measured') can misrepresent an analog front end and provides a short function that scales your signal so the added AWGN produces the desired receiver noise variance. This prepares realistic inputs for upcoming ADC simulations.


Hello and Introduction

Parth VakilParth Vakil September 14, 20071 comment

Hello all.

I would like to take this chance to talk a little about what I am going to try and do in this blog. While working in the field, I have come across some interesting techniques. It has, at times, taken some time and effort to understand these techniques. Ever since I was a kid, I have overestimated my capacity to remember everything that I learn. So, I had decided to start keeping a journal of all the techniques that started to make sense. This blog provides a great way for me to...