Why normalized frequency

I mean how could we define or describes it? Accepted Answer. Adam on 4 Dec Vote 6. Cancel Copy to Clipboard. Edited: Adam on 4 Dec So a normalised frequency of 1 represents your sampling frequency and 0. Tala Hed on 19 Sep Kenny on 7 Nov Could you please elaborate on your comment? What do you mean by you think it's I also get confused about normalised frequency - but it's usually not because I don't know what normalising means. It's mainly because some documents don't appear to specify or say what the normalising factor is.

Such as to normalise values based on the sampling frequency? Or normalise values based on 'half of the sampling frequency'? It's really the life story of many documents, tutorials etc. That is, lack of detail, or lost detail. Adam on 7 Nov Normalising based on half frequency is not something I have ever seen and I'm not sure it makes much sense.

Sure the values between 0. Kenny on 11 Jun Thanks Adam. For your original answer "So a normalised frequency of 1 represents your sampling frequency and 0. The normalised value of 0. Adam on 11 Jun Yes, it should represent the Nyquist frequency, which is half the sample frequency by definition. You can't have Nyquits being equal to the sampling rate.

The highest frequency you can possibly have in a signal is Nyquist, which is every other sample being a peak maxima and every sample between those being a trough minima , assuming we don't have a degenerate signal.

So the frequency of the peaks is 0. Thanks Adam! I see what's happening here now. About: Normalized frequency unit. The maximum frequency that can be unambiguously represented by digital data is known as Nyquist frequency when the samples are real numbers, and when the samples are complex numbers. The normalized values of these limits are respectively 0. Show 26 more comments.

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