# Digital voice Signal Processing learning notes--short time-frequency domain analysis of speech signals (2)

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4.3 Interpretation of the filter

1. Short-time Fourier transform filter Realization form One

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2. Short-time Fourier transform filter Realization form two

Make:

The

4.4 Time domain and frequency domain sample rate in short time spectrum

the short-time Fourier transform is a two-dimensional representation of one-dimensional signal. That

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1. Time Domain Sample rate

The sample rate required within the time domain is. B is the bandwidth of the window, the length of the N form sequence, and FS is the sample rate of the signal x (n).

2. frequency domain Sample Rate

In order to recover from it.

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3. Total sample Rate

We are able to determine what is necessary to make the original signal non-aliasing in each second.

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In most real windows, B can be represented as a multiple of fs/n. That

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c is a proportional constant, which is:

In the formula. Sr/fs is the "over-rate sample ratio" that is obtained compared to the general sampling frequency. Hamming window 2c=4, rectangular window 2c=2.

Digital voice Signal Processing learning notes--short time-frequency domain analysis of speech signals (2)

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