Тёмный

Magnitude and phase spectrum with example 

FUN CEPTS
Подписаться 1,3 тыс.
Просмотров 43 тыс.
50% 1

Representation of magnitude and phase spectrum of signals with an example illustration

Опубликовано:

 

23 фев 2020

Поделиться:

Ссылка:

Скачать:

Готовим ссылку...

Добавить в:

Мой плейлист
Посмотреть позже
Комментарии : 28   
@josecarlosribeiro3628
@josecarlosribeiro3628 6 месяцев назад
🙏🏾🙏🏾Namaste Dear Master!🙏🏾🙏🏾 Happy New Year! Congratulations for your beautiful class and your ability! I have learnt a lot with you! Could be fewer and elementar for you, thereby is the universe for me! Thank's a lot and God bless you! Jacareí -Sao Paulo-Brasil.
@yaboimdaro
@yaboimdaro Год назад
For anyone looking for an explanation to how he write 1 to the magnitude spectrum for all signals, it is because when you write cosw as (e^jw + e^-jw) / 2 = so that there comes a 1/2 multiplied by 2 gives 1 magnitude.
@user-hy3tr3rx9z
@user-hy3tr3rx9z 3 года назад
Thank you sir, what a beautiful video!
@funcepts2116
@funcepts2116 Год назад
You are very welcome
@lilykonadugyammerah5314
@lilykonadugyammerah5314 3 месяца назад
I love this!!!! It was so helpful and easy to understand 🙏
@funcepts2116
@funcepts2116 3 месяца назад
Thanks. Good to know
@michaelamitchell205
@michaelamitchell205 3 года назад
Great video! Thank you!
@funcepts2116
@funcepts2116 3 года назад
Glad you found it useful
@hongkyulee9724
@hongkyulee9724 2 года назад
This video is amazing ! Thank you sir :D
@funcepts2116
@funcepts2116 Год назад
Most welcome!
@logandekmarques8412
@logandekmarques8412 2 месяца назад
FINALLY A GOOD EXPLANATION
@amirthavarshinim1629
@amirthavarshinim1629 3 года назад
Great video!!!
@funcepts2116
@funcepts2116 Год назад
Glad you liked it!
@y.tushardeo7514
@y.tushardeo7514 2 года назад
thank you so much. it was very helpful
@funcepts2116
@funcepts2116 2 года назад
Glad to hear that!
@AMAANNINJA4
@AMAANNINJA4 4 дня назад
Superrrrr i gotty supper. Explanation wowwwwwww plss comment meeeeeeee
@saeed1367
@saeed1367 3 года назад
Thanks for great video! what is the difference of auto-spectral, amplitude spectra and cross-spectral density? is amplitude and Magnitude same?
@funcepts2116
@funcepts2116 3 года назад
Auto-spectral density is the Fourier transform of the Autocorrelation function. It’s also called the power spectral density (PSD) - See Weiner-Khinchine theorem. Similarly the Cross spectral density (CSD) is the Fourier transform of the cross-correlation function. CSD gives a measure of spectral correlation in a pair of signals. Magnitude spectrum is same as amplitude spectrum but without the sign. A negative amplitude is equivalent to a magnitude with a 180 degrees phase shift. The 180 degrees phase shift corresponding to a minus sign is usually represented in the phase spectrum.
@saeed1367
@saeed1367 3 года назад
@@funcepts2116 Thank you very much
@akshays5398
@akshays5398 Год назад
nice explanation sir
@funcepts2116
@funcepts2116 8 месяцев назад
Thanks
@akshays5398
@akshays5398 Год назад
Thank you soo much
@funcepts2116
@funcepts2116 8 месяцев назад
You're welcome!
@victorcalata-gentil9113
@victorcalata-gentil9113 9 месяцев назад
I'm on the spectrum!
@puja2078
@puja2078 3 года назад
How to find magnitude, frequency and phase if sequence representing one period of signal given.
@funcepts2116
@funcepts2116 3 года назад
DTFT is used for discrete signals. For discrete periodic signals, DTFT is reduced to DFT which is used to compute over one period.
@puja2078
@puja2078 3 года назад
@@funcepts2116 Thank you
@sp_ka_show
@sp_ka_show Год назад
Ohh bhai accent 😅
Далее
Discrete Fourier Transform - Simple Step by Step
10:35
Просмотров 883 тыс.
Четыре тормоза
00:53
Просмотров 45 тыс.
MC TAXI: АК-47
35:14
Просмотров 503 тыс.
Peter Gilliam - Musical Fourier (#SoME1)
17:09
Просмотров 22 тыс.
Is Phase important in the Fourier Transform?
14:14
Просмотров 21 тыс.
Fourier Series
16:36
Просмотров 473 тыс.
FFT in excel for spectral analysis
11:33
Просмотров 120 тыс.
The Fast Fourier Transform (FFT)
8:46
Просмотров 339 тыс.
Четыре тормоза
00:53
Просмотров 45 тыс.