วีดีโอ

Great

Thanks for the video. I liked the sound. What is the name of the microphone you use?

Euler the 🐐!

Hey could you explain how you change your citation style in Zotero to overleaf. I cant find the answer online for overleaf

Hi Paul. Why do you call DFT in the title when you don't show DFT at all in this video? The DFT operates exclusively on discrete sets of data and produces a spectrum comprising discrete frequency components.

This was so helpful, thank you so much!

Can you show a similar workflow for typst?

Great video!

\documentclass{article} \usepackage{blindtext} % dummy text \usepackage{graphicx} % \usepackage{apacite} % APA citation style \title{\textbf{\LaTeX{}} Citation} \author{Author} \date{May 15th, 2024} \begin{document} \maketitle \blindtext[3] \pagenumbering{roman} % roman page numbers ewpage \tableofcontents ewpage \section{Introduction} % numbering must be visible for Contents Table \blindtext[1] \cite{rashid2019cloud}. \subsection{Image Insertion} % the * hides the numbering \begin{figure}[h] \centering \includegraphics[scale=0.7]{xsquared.png} \caption{The symbol $x^2$} \label{fig:xsquared} % label for reference \end{figure} \vspace*{1cm} Insert figures like Figure ef{fig:xsquared}. \begin{verbatim} \begin{figure}[h] \centering \includegraphics[scale=0.5]{xsquared.png} \caption{The symbol $x^2$} \label{fig:xsquared} % label for reference \end{figure} \end{verbatim} ewpage \section{Tables} \begin{table}[h] \centering \begin{tabular}{|c|c|c|} \hline Name & Age & Address \\ \hline John & 25 & 123 Main St. \\ \hline Jane & 30 & 456 Park Ave. \\ \hline Mary & 35 & 789 Elm St. \\ \hline \end{tabular} \caption{People's Information} \label{tab:people} \end{table} ewpage %\bibliographystyle{apacite} % APA bibliography style \bibliographystyle{plain} \bibliography{mybib} % bibliography file \end{document}

Thank you for the video, unfortunately it seems to be a premium feauture

3:34 결국에는 돈내야하네 시간낭비하게 만드냐...

Paul, I found your channel recently and it has been quite useful, do you have any idea if you can denoise data from a signal stored as an array using a noise profile? I took some measures with an osciloscope in the lab and it had a consistent background noise, and I thought that maybe I could store some of the noise and then use it to clean a bit my data, like you can do with audio editing I'm guessing you can use fft but maybe there's a package that can do this easier instead of having to build it myself Thanks beforehand

Thank you dude!

Here you have sampled the signal at intervals of 1. what if I want to sample it at a higher frequency?

Super helpful! Appreciate you making this series.

It's easy because it's wrong. Any equation containing the imaginary unit i=sqrt(-1) is a complete HOAX.

Thnak You!

thank you for your lovely lesson but when try to integrate zotero to latex it says it is premium about could give if there is free please

Do you have any sources for saying Euler discovered the Fourier series first

Thank you so much for sharing. Best regards from Panama 🇵🇦

thanks bro

Thanks for such an excellent video. I was a mathematics undergrad and wanted to do a Fourier refresher. Looking forward to the series (Pun intended!)

You know what's even better than this? Writing the actual source code for an FFT and its inverse then watching them work. Excellent video by they way, very enjoyable.

Hi Paul, first let me say - thank you. your explanations are clear , clean and very good, liked it very much. I would like to ask you, if you could read a small WAV file or even an existing CSV file with 2 columbs (t, xt)- of a sinus signal, read it in to python, and then do the exact thing that you did here in this video ? (plot the original signal, then sample is in NYQUIST freq., plot it and then plot the two- one over the other to see the comparition between the two?

Nice video. As a suggestion, if you turned the VS autocomplete dialogues off, I’m sure the viewer’s experience would be much better; it’s very difficult to focus on what you’re saying and typing when modal boxes are popping up and changing all over the place.

I talked about this when teaching at Pratt back in the day. Magenta and yellow equals Red. Cyan And yellow equal Green and magenta and yellow equals red. Love the scientific answer to why this so. Excellent to a fault. :)

How to know what are the different frequencies which constructs your main signal? I am asking about the frequency values not its amplitude.

Really nice video, it helped me alot! Thanks

Thank you so much now I didn't know about fftshift in numpy till today!

Hi can I ask you a question?

Laplace transform integral from ZERO to infinity.

The guys is full of interesting insight into how to look at complex analysis problems

Good overview of Fourier and an intro to complex circuit analysis. Staying for next video to watch the elaboration of the technique.

This is great thank you