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Signal period estimation method and device

A signal period and signal technology, applied in the field of communication, can solve the problems of high computational complexity and high requirements for equipment computing power, and achieve the effect of reducing complexity

Inactive Publication Date: 2012-07-04
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

As the value of N increases, the complexity of the calculation is relatively large, which requires high computing power of the device.

Method used

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  • Signal period estimation method and device

Examples

Experimental program
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Embodiment 1

[0040] An embodiment of the present invention provides a method for estimating a signal period, see figure 1 As shown, the method includes:

[0041] Step 1: Perform windowing processing on the signal;

[0042] Wherein, the length of the added window function is usually the same as the signal length.

[0043] Step 2: Obtain the power spectrum of the windowed signal;

[0044] Wherein, obtaining the power spectrum of the windowed signal in step 2 may specifically include: performing discrete Fourier transform on the windowed signal; and obtaining the power spectrum of the windowed signal according to the result of the discrete Fourier transform.

[0045] Step 3: Perform inverse discrete Fourier transform on the obtained power spectrum to obtain the autocorrelation function;

[0046] Step 4: Obtain the period of the signal according to the obtained autocorrelation function, and the signal period is the distance between two adjacent maximum peaks in the autocorrelation function....

Embodiment 2

[0053] The embodiment of the present invention provides a method for estimating the period of a signal. The method provided in this embodiment is similar to the method provided in Embodiment 1. The method provided in this embodiment is to implement the audio signal in the frequency domain in the audio encoder. Estimation of harmonic interval period. Such as figure 2 As shown, the method includes:

[0054] Step A1: performing sharpening processing on the signal;

[0055] Wherein, said signal in step A1 refers to the frequency spectrum of speech signal, and the frequency spectrum of this speech signal can be obtained by carrying out discrete Fourier transform to speech signal, also can be by improved discrete cosine transform (MDCT, Modified Discrete Cosine Transformer), it should be noted that the method of obtaining the signal mentioned in step A1 is not limited to the two examples mentioned above, and there are other methods. Suppose the speech signal is s(n), wherein the...

Embodiment 3

[0080] The embodiment of the present invention provides a method for estimating the signal period. This embodiment is similar to the second embodiment, the difference is that in the second embodiment, when analyzing the speech signal in the frequency domain, the harmonic interval period is estimated, while In this embodiment, the pitch period is estimated for the speech signal in the time domain.

[0081] The signal analyzed in the embodiment of the present invention takes the speech signal x(n) in the time domain as an example, where N is 640, that is, n∈[0, N-1], and the sampling frequency is 16KHz. The method includes:

[0082] Step B1: similar to step A1, that is, sharpen the speech signal x(n);

[0083] Step B2 to step B5 correspond to the same as step A2 to step A5 in the second embodiment, and for details, please refer to the description in the second embodiment.

[0084] Step B6: similar to step A6, that is, obtain the pitch period of the speech signal according to t...

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Abstract

The embodiment of the invention discloses a signal period estimation method, which comprises: windowing a signal; acquiring the power spectrum of the windowed signal; performing the inverse discrete Fourier transform of the acquired power spectrum to acquire an autocorrelation function; and acquiring the period of the signal according to the autocorrelation function. The embodiment of the invention also provides a corresponding period estimation device. In the technical scheme of the invention, due to the windowing of the signal, the image interference in the finally acquired autocorrelation function is inhibited under a condition of not prolonging the sequence length of the signal, and at the same time, the aim of accurate estimation of the period of the signal is fulfilled.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a method and device for estimating a signal period. Background technique [0002] It is very important to accurately estimate the period of a signal in the field of communication. A commonly used method for estimating the period of a signal is the autocorrelation function method. The autocorrelation function method is based on the principle that the autocorrelation function of an ideal periodic signal is a periodic signal with the same period. After the autocorrelation function of the signal is obtained, the period of the signal is estimated. [0003] Existing methods for estimating signal periods include: [0004] Step W1: Extend the signal x(n), where n ranges from 0 to N-1, and obtain the extended signal x'(n), that is, extend the length of the sequence x(n) to 2N-1 point, as shown in formula (1): [0005] x ′ ( ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/00G06F17/15G10L19/02
Inventor 张德明
Owner HUAWEI TECH CO LTD