Recent content by Gedelian
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C# Missing samples recovery with FFT in C#
Hey all! I have to ask for help. I’m in too deep and can’t find my way out. Does anyone know where to find a simple code for missing samples recovery? All I can find are math equations that I can’t interpret. I’m not into signal processing here, I’m using FFT for numeric data only, so I’m...- Gedelian
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- Fft
- Replies: 2
- Forum: Programming and Computer Science
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Nyquist sampling rate and signal anti-aliasing
Hey all, sorry for the late post, I abandoned the whole idea with the signal series. The idea was to encode information in separate signals using amplitudes without modulation, because I needed frequencies for something else. I just wanted to know what are the limitations of that approach...- Gedelian
- Post #9
- Forum: Electrical Engineering
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Nyquist sampling rate and signal anti-aliasing
The definition comes from the frequency domain. I want to create a series of signals with the same frequencies but different amplitudes. For example, every signal has the same set of frequencies, from 1 to 100Hz, but every frequency in a given signal has a different amplitude, and the pattern of...- Gedelian
- Post #5
- Forum: Electrical Engineering
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Nyquist sampling rate and signal anti-aliasing
Thanks for the quick reply. The frequencies I was asking about are 'pure', in the sense that I want to choose them to build a signal using inverse FFT. So it's not a 'dirty' real life signal which needs filters. As I understand correctly, if you have the highest frequency of, say, 100Hz, and...- Gedelian
- Post #3
- Forum: Electrical Engineering
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Nyquist sampling rate and signal anti-aliasing
Hi all! Quick question. If a Nyquist sampling rate in a signal is 2f, what lower frequencies can be represented without aliasing? I assume you could have frequencies which have only even number of samples in their wave length, or maybe in half of their wave length. Am I wrong? If someone can...- Gedelian
- Thread
- Rate Sampling Signal
- Replies: 8
- Forum: Electrical Engineering
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Graduate Fourier transform capabilities in reconstructing missing data
OK, my mistake. Let`s say that, in the same example, the stack of frequencies is still from 1 to 128 Hz, the max bandwidth is 256 Hz, and the signal is oversampled 2x, giving the total of 512 samples. If half of the samples are lost (first or last 256 samples), is it possible to restore the... -
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Graduate Fourier transform capabilities in reconstructing missing data
Hi, I know this topic is more suited for Computing & Technology, but it has even more to do with general questions about Fourier transform capabilities. I have a question about sample restoration in Discrete Fourier Transform. Suppose we have a signal with the stack of frequencies from 1 Hz...