JP2020204784A - 信号符号化方法及びその装置、並びに信号復号方法及びその装置 - Google Patents
信号符号化方法及びその装置、並びに信号復号方法及びその装置 Download PDFInfo
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Abstract
Description
{
residualbuffer[2*i] = dec_LSB[state][dpath[i]] & 0x1;
residualbuffer [2*i + 1] = dec_LSB[state][dpath[i]] & 0x2;
state = trellis_nextstate[state][dpath[i]];
}
すなわち、ステート0から始めて、復号されたdpathビットを使用して、トレリスに沿って動き、現在トレリスエッジに該当する2個のビットを抽出することができる。
(付記1)
現在バンドのスペクトルデータを、第1量子化方式によって量子化する段階と、
前記スペクトルデータ、及び前記量子化されたスペクトルデータを利用して、前記現在バンドの下位ビットを生成する段階と、
前記現在バンドの下位ビットが含まれた下位ビットシーケンスを、第2量子化方式によって量子化する段階と、
前記量子化されたスペクトルデータのうちNビット(ここで、Nは1以上)を除いた上位ビット、及び前記量子化された下位ビットシーケンスに基づいて、ビットストリームを生成する段階と、を含むスペクトル符号化方法。
(付記2)
前記第1量子化方式は、スカラー量子化であることを特徴とする付記1に記載のスペクトル符号化方法。
(付記3)
前記スカラー量子化は、均一な量子化間隔を利用することを特徴とする付記2に記載のスペクトル符号化方法。
(付記4)
前記第2量子化方式によって量子化する段階は、前記スペクトルデータと、前記量子化されたスペクトルデータとの差に基づいて、量子化を行うことを特徴とする付記1に記載のスペクトル符号化方法。
(付記5)
前記第2量子化方式は、トレリス符号量子化であることを特徴とする付記1に記載のスペクトル符号化方法。
(付記6)
前記スペクトルデータの帯域幅は、超広帯域あるいは全帯域であることを特徴とする付記1に記載のスペクトル符号化方法。
(付記7)
前記スペクトルデータは、入力オーディオ信号に対して、MDCT(modified discrete cosine transform)及び正規化を行って得られることを特徴とする付記1に記載のスペクトル符号化方法。
(付記8)
前記スペクトルデータは、正常モードによって符号化されたことを特徴とする付記1に記載のスペクトル符号化方法。
Claims (8)
- ノンゼロ(non−zero)バンドのスペクトルデータをUSQ(Uniform Scalar Quantization)を使用して量子化する段階と、
前記量子化されたスペクトルデータの下位ビットを抽出する段階と、
全てのノンゼロバンドの前記量子化されたスペクトルデータの下位ビットを収集して下位ビットシーケンスを生成する段階と、
前記下位ビットシーケンスを、TCQ(Trellis Coded Quantization)を使用して量子化する段階と、
前記量子化されたスペクトルデータのうち、前記下位ビットを除いた上位ビット及び前記量子化された下位ビットシーケンスに基づいてビットストリームを生成する段階と、を含み、
前記TCQに使用されるビット数は、各ノンゼロバンドの量子化のために割り当てられたビット数から均等に抽出され、前記ノンゼロバンドに残っているビット数はUSQに使用される、スペクトル符号化方法。 - 前記スペクトルデータの帯域幅は、超広帯域あるいは全帯域である、請求項1に記載のスペクトル符号化方法。
- 前記ビットストリームを生成する段階は、
前記ノンゼロバンドの重要スペクトル成分の個数、位置及び符号に対して、第1無損失符号化を行う段階と、
前記量子化されたスペクトルデータのうち、前記下位ビットを除いて構成される大きさ情報に対して第2無損失符号化を行う段階と、
前記量子化された下位ビットシーケンスに対して第3無損失符号化を行う段階と、
前記第1無損失符号化、第2無損失符号化及び第3無損失符号化から提供されるデータを用いて前記ビットストリームを生成する段階と、を含む、請求項1に記載のスペクトル符号化方法。 - 前記スペクトルデータは、入力オーディオ信号に対してMDCT(Modified Discrete Cosine Transform)及び正規化を行って得られる、請求項1に記載のスペクトル符号化方法。
- スペクトル符号化装置において、
少なくとも1つのプロセッサを含み、前記少なくとも1つのプロセッサは、
ノンゼロ(non−zero)バンドのスペクトルデータをUSQ(Uniform Scalar Quantization)を使用して量子化し、
前記量子化されたスペクトルデータの下位ビットを抽出し、
全てのノンゼロバンドの前記量子化されたスペクトルデータの下位ビットを収集して下位ビットシーケンスを生成し、
前記下位ビットシーケンスをTCQ(Trellis Coded Quantization)を使用して量子化し、
前記量子化されたスペクトルデータのうち、前記下位ビットを除いた上位ビット及び前記量子化された下位ビットシーケンスに基づいてビットストリームを生成するように設定され、
前記TCQに使用されるビット数は、各ノンゼロバンドの量子化のために割り当てられたビット数から均等に抽出され、前記ノンゼロバンドに残っているビット数はUSQに使用される、スペクトル符号化装置。 - 前記スペクトルデータの帯域幅は、超広帯域あるいは全帯域である、請求項5に記載のスペクトル符号化装置。
- 前記少なくとも1つのプロセッサは、
前記ノンゼロバンドの重要スペクトル成分の個数、位置及び符号に対して第1無損失符号化を行い、
前記量子化されたスペクトルデータのうち、前記下位ビットを除いて構成される大きさ情報に対して第2無損失符号化を行い、
前記量子化された下位ビットシーケンスに対して第3無損失符号化を行い、
前記第1無損失符号化、第2無損失符号化、及び第3無損失符号化から提供されるデータを用いて前記ビットストリームを生成するように設定される、請求項5に記載のスペクトル符号化装置。 - 前記スペクトルデータは、入力オーディオ信号に対してMDCT(Modified Discrete Cosine Transform)及び正規化を行って得られる、請求項5に記載のスペクトル符号化装置。
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JP6763849B2 (ja) | 2020-09-30 |
US11616954B2 (en) | 2023-03-28 |
CN107077855B (zh) | 2020-09-22 |
EP3176780A4 (en) | 2018-01-17 |
KR20230066137A (ko) | 2023-05-12 |
CN111968656A (zh) | 2020-11-20 |
CN111968655A (zh) | 2020-11-20 |
CN111968656B (zh) | 2023-11-10 |
US20190158833A1 (en) | 2019-05-23 |
US20210051325A1 (en) | 2021-02-18 |
CN111968655B (zh) | 2023-11-10 |
CN107077855A (zh) | 2017-08-18 |
KR20170037970A (ko) | 2017-04-05 |
JP6980871B2 (ja) | 2021-12-15 |
EP4293666A2 (en) | 2023-12-20 |
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US10827175B2 (en) | 2020-11-03 |
JP2017528751A (ja) | 2017-09-28 |
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