Digital Signal Processing (DSP) Tutorial - DSP with the Fast Fourier Transform Algorithm
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- Опубликовано: 19 окт 2024
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Digital Signal Processing (DSP) refers to the process whereby real-world phenomena can be translated into digital data for analysis, manipulation, and synthesis. DSP has transformed the way we interact with the physical world when it comes to recording sound, taking pictures, or analyzing other natural phenomena. None of this would be possible without the Fast Fourier Transform (FFT) algorithm, which allows huge amounts of data sampled in the time domain to be quickly transformed into the frequency domain. In this Digital Signal Processing Tutorial, we discuss implementations of the FFT in JavaScript and how we as developers can leverage JavaScript libraries such as DSP.js for signal analysis, synthesis, and manipulation.
Watch this video to learn:
What is Digital Signal Processing (DSP)
What is the Fast Fourier Transform (FFT) algorithm
How does DSP work
Fruit smoothie = Best analogy I've ever heard for the FT 😁
same here. It made thing clear
Great talk! I'm starting with DSP because I want to get frequency from 3-axis accelerometer signals to compute respiration rate and I'm using FFT. This video was helpful, thank you.
Could you explain me your idea, if it isn't a problem? It appaers very interesting
@@remdi2122 sounds like they're using someone's speed to compute respirations probably a running app connected to a watch. Problem is the watch is going to move faster and in different directs than the runner. Interesting idea tho nonetheless
Will you guys ever have a full-on program for DSP and audio coding?
Bugged Signal Mechanics
D00d i couldn't do anything d00d
Great explanations of really complex topics
00:03:42 в основе преобразования Фурье должны быть ортогональные функции. Морковка и яблоко ортогональны? ))
7:13 Libraries
great talk, i hope he didn't leave that oscillator sound pushing through my skill that long
Super sir..... Short and clear explanation about dsp sir
One of the best fft videos
Why not have a link to the code itself
This isn't Phil
DSP in JavaScript. Ok.. BUT WHYYY>>
great
Can I use DSP in programming if so can I do it with F#
Nice build up but the synthesis gone really wrong lol. First, the output sound clearly wasn't any resemblance of the original recording. Second, how can you blame the microphone when you heard a perfect playback immediately lol? Third, how can you possibly synthesize anything besides a single sine wave if you're using a single oscillator lol, especially, from a signal you yourself have transformed into tens of thousands(!) of sines speaking loudly about it? :):):)
good
How to compare two audio signal similarity in python?
use autocorrelation.
nice
Nice
...or not
Tukey is pronounced TOO KEE
ED
software pukes
process your voice