You must know how it feels 😉
Fourier analysis is perfect to analyze a complex signal; it shows you in one view all the frequency components. Ever seen the freq display of an equalizer? That's Fourier analysis for you, live, on music signals.
OTOH, doing a Fourier analysis of a single sine wave is pretty irrelevant.
jd
If you wanna learn about engineering, you have to go to a good school and pay attention to the classes there, or you must pay for the knowledgement. Trying to learn for free is not working here.
regards,
Bonzai,
You seemingly have rejected the message. Abstracting the abstract in the long run can give a more clear revelation of ikko, kakko, taiko, shoko, kokiriko, along with shime-daiko, tsuri-daiko, den-den daiko, furthermore sasara, bin-sasara, ita-sasara, not to mention tsuzumi, otsuzumi, san-no-tsuzumi, also shaku and last but not least kagura suzu.
Member
Joined 2009
Paid Member
blmn,
I`d gladly learn from you, but you have not said anything coherent so far. Anyway, I'm eagerly waiting...
Pay, Lumba, you have to pay, or go to a mental pain on learning process (I think it happens to some people, like you, it seems).
You´re not at level to learn from me or from many others here.
Regards,
Last edited:
Of course, FFT analysis is a lie. That is to say it is not a true representation of a continuously changing music signal because it assumes an infinite repeat of your sampled waveform, both backwards in time and forwards in time. This causes trouble with discontinuities at the joins of the samples adding spurious spectra. Then there is the sampling resolution that adds inaccuracy.
Having said that, I think the technique is accurate enough if you choose a sympathetic waveform and sufficient resolution, and you know what you are looking for.
Having said that, I think the technique is accurate enough if you choose a sympathetic waveform and sufficient resolution, and you know what you are looking for.
Actually, I think that should strictly have been "kanpai". But who around here would be that nit-picking?...cheers all! Hot sake...
Infinite sinewave watching. Sort of Zen, don't you think? Like watching a raked, rock garden.
Infinite sinewave watching. Sort of Zen, don't you think? Like watching a raked, rock garden.
Hi Lumba,
Use of the Fourier Transform (AKA spectrum analyzer) is by no means limited to sinewaves. While it is limited to signals that repeat over some long interval, that allows for some extraordinarily complex waveforms that can bring out misbehavior and all sorts of distortions in an amplifier.
One example is the 19+20 kHz CCIF test, where the rep rate is at 1 kHz and where you get to see an enormous array of IM products. People who know what they are doing can look at the result and make some very useful conclusions about an amplifier.
Another example, which I am sure you will like being a no-feedback lover, is the DIM test for TIM developed by Matti Otala. That test employs a very complex waveform rich in harmonics and fast transients. The evaluation of TIM with the DIM test relies fundamentally on spectral analysis, which is usually done these days with an FFT.
Cheers,
Bob
Are there news about audio BjT power devices?
Burr/Brown - TI, Analog Devices, Linear Technology and National Semiconductor create an real inflation of audio operational amplifiers.
But where are the new discrete power semiconductors for audio applications ?
In opposite to the audio OP Amps the range of audio BjT discrete POWER devices is relatively small.
Burr/Brown - TI, Analog Devices, Linear Technology and National Semiconductor create an real inflation of audio operational amplifiers.
But where are the new discrete power semiconductors for audio applications ?
In opposite to the audio OP Amps the range of audio BjT discrete POWER devices is relatively small.
Last edited: