Prediction method for durability of tire
US-2024393213-A1 · Nov 28, 2024 · US
US9792257B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9792257-B2 |
| Application number | US-201615345074-A |
| Country | US |
| Kind code | B2 |
| Filing date | Nov 7, 2016 |
| Priority date | Jan 10, 2011 |
| Publication date | Oct 17, 2017 |
| Grant date | Oct 17, 2017 |
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An embodiment of the present invention discloses a data processing method, including: twiddling input data, so as to obtain twiddled data; pre-rotating the twiddled data by using a symmetric rotate factor, where the rotate factor is a·W 4L 2p+1 , p=0, . . . , L/2−1, and a is a constant; performing a Fast Fourier (Fast Fourier Transform, FFT) transform of L/2 point on the pre-rotated data, where L is the length of the input data; post-rotating the data that has undergone the FFT transform by using a symmetric rotate factor, where the rotate factor is b·W 4L 2q+1 , q=0, . . . , L/2−1, and b is a constant; and obtaining output data.
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What is claimed is: 1. A method for processing an audio signal, the method comprising: obtaining, by an encoder comprising a processor, a windowed time domain data by windowing an input audio signal; obtaining, by the encoder, a twiddled signal based on the windowed time domain data; pre-rotating, by the encoder, the twiddled signal by using a first symmetric rotation factor to obtain a pre-rotated data, wherein the first symmetric rotation factor is a·W 4L 2p+1 , p=0, . . . , L/2−1, wherein a is a constant, wherein L is the length of the input audio signal; performing, by the encoder, a Fast Fourier transform (FFT) of L/2 points on the pre-rotated data to obtain FFT data; performing, by the encoder, an in-place fixed rotate compensation on the FFT data; post-rotating, by the encoder, the data that has undergone the in-place fixed rotate compensation by using a second symmetric rotation factor to obtain a post-rotated data, wherein the second symmetric rotation factor is b·W 4L 2p+1 , q=L/2−1, and b is a constant; quantizing, by the encoder, a signal derived from the post-rotated data to obtain a quantized signal; and writing, by the encoder, the quantized signal into a bitstream for transmitting or storing. 2. The method according to claim 1 , wherein the in-place fixed rotate compensation is performed by multiplying a fixed rotate compensation factor with the FFT data. 3. The method according to claim 2 , wherein the fixed rotate compensation factor is 1 + j ( 3 π 4 L ) . 4. The method according to claim 1 , wherein the twiddled signal is obtained according to z(p)={tilde over (x)}(2p)+j·{tilde over (x)}(L−1−2p), wherein z(p) denotes the twiddled signal, {tilde over (x)}(n) denotes the windowed time domain data. 5. The method according to claim 1 , wherein W 4L 2q+1 in the first symmetric rotation factor is expressed in the following form: W 4 L 2 p + 1 = cos 2 π ( 2 p + 1 ) 4 L - j sin 2 π ( 2 p + 1 ) 4 L . 6. The method according to claim 1 , wherein W 4L 2q+1 in the second symmetric rotation factor is expressed in the following form: W 4 L 2 p + 1 = cos 2 π ( 2 p + 1 ) 4 L - j sin 2 π ( 2 p + 1 ) 4 L
Blocking, i.e. grouping of samples in time; Choice of analysis windows; Overlap factoring · CPC title
Discrete Fourier transforms · CPC title
Fast Fourier transforms, e.g. using a Cooley-Tukey type algorithm · CPC title
using orthogonal transformation · CPC title
Discrete orthonormal transforms, e.g. discrete cosine transform, discrete sine transform, and variations therefrom, e.g. modified discrete cosine transform, integer transforms approximating the discrete cosine transform (G06F17/145 takes precedence) · CPC title
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