公开(公告)号：US07254534B2

公开(公告)日：2007-08-07

申请号：US10622021

申请日：2003-07-17

Applicant: Michael Ansorge ,  Giuseppina Biundo Lotito ,  Benito Carnero

Inventor： Michael Ansorge ,  Giuseppina Biundo Lotito ,  Benito Carnero

IPC: G10L19/12

CPC classification number: G10L19/12

Abstract: The speech is sampled in such a way as to obtain successive voice frames each including a predetermined number of samples, and with each voice frame are determined parameters of a code-excited linear prediction model. The parameters include a long-term excitation digital word vi extracted from an adaptive coded directory LTD, and an associated long-term gain Ga, as well as a short-term excitation word cj extracted from a fixed coded directory STD and an associated short-term gain Gc. The product of the long-term excitation extracted word times the associated long-term gain is summed SM with the product of the short-term excitation extracted word times the associated short-term gain. The summed digital word is filtered in a low-pass filter FLCT having a cutoff frequency greater than a quarter of the sampling frequency and less than a half of the latter, and the adaptive coded directory is updated with the filtered word.

Abstract translation: 对语音进行采样，以获得每个包括预定数量的采样的连续语音帧，并且每个语音帧是确定码激励线性预测模型的参数。 这些参数包括从自适应编码目录LTD提取的长期激励数字字v i i和相关联的长期增益Ga，以及从固定的解码器提取的短期激励词cj 编码目录STD和相关联的短期增益Gc。 长期激励提取词乘以相关长期增益的乘积与短期激励提取词乘积相关的短期增益的乘积SM相加。 相加的数字字在具有大于采样频率的四分之一的截止频率并且小于后者的一半的低通滤波器FLCT中被滤波，并且用滤波的字更新自适应编码目录。

公开(公告)号：US06668089B1

公开(公告)日：2003-12-23

申请号：US09509665

申请日：2000-07-14

Applicant: Javier Bracamonte ,  Frédéric Barman ,  Michael Ansorge ,  Fausto Pellandini

Inventor： Javier Bracamonte ,  Frédéric Barman ,  Michael Ansorge ,  Fausto Pellandini

IPC: G06K936

CPC classification number: H04N19/192 ,  H04N19/126 ,  H04N19/146 ,  H04N19/152 ,  H04N19/176 ,  H04N19/60

Abstract: The present invention relates to a process for controlling the compression ratio of digital images. This process consists of compressing a digitized image by means of a conventional process such as that known by the abbreviation JPEG. The compression ratio of the image is modified by modifying a parameter of the JPEG process, called the scale factor. According to the invention this scale factor is modified until the compression ratio obtained lies in a range of tolerance of the desired compression ratio. The process uses and approximation to the actual curve of the compression ratio as a function of the scale factor, in order to minimize the number of iterations needed to attain the desired compression ratio.

Abstract translation: 本发明涉及一种用于控制数字图像的压缩比的方法。该方法包括通过诸如缩写JPEG已知的常规处理压缩数字化图像。 通过修改称为比例因子的JPEG过程的参数来修改图像的压缩比。 根据本发明，该比例因子被修改，直到获得的压缩比位于所需压缩比的公差范围内。 该过程使用和逼近作为缩放因子的函数的压缩比的实际曲线，以便最小化达到所需压缩比所需的迭代次数。

公开(公告)号：US20050075867A1

公开(公告)日：2005-04-07

申请号：US10622021

申请日：2003-07-17

Applicant: Michael Ansorge ,  Giuseppina Lotito ,  Benito Carnero

Inventor： Michael Ansorge ,  Giuseppina Lotito ,  Benito Carnero

IPC: G10L19/12 ,  G10L19/04 ,  G10L19/08 ,  G10L19/10

CPC classification number: G10L19/12

Abstract: The speech is sampled in such a way as to obtain successive voice frames each including a predetermined number of samples, and with each voice frame are determined parameters of a code-excited linear prediction model. The parameters include a long-term excitation digital word vi extracted from an adaptive coded directory LTD, and an associated long-term gain Ga, as well as a short-term excitation word cj extracted from a fixed coded directory STD and an associated short-term gain Gc. The product of the long-term excitation extracted word times the associated long-term gain is summed SM with the product of the short-term excitation extracted word times the associated short-term gain. The summed digital word is filtered in a low-pass filter FLCT having a cutoff frequency greater than a quarter of the sampling frequency and less than a half of the latter, and the adaptive coded directory is updated with the filtered word.

Abstract translation: 对语音进行采样，以获得每个包括预定数量的采样的连续语音帧，并且每个语音帧是确定码激励线性预测模型的参数。 这些参数包括从自适应编码目录LTD提取的长期激励数字字vi和相关联的长期增益Ga，以及从固定编码目录STD提取的短期激励词cj和相关联的短期增益Ga， 期限增益Gc。 长期激励提取词乘以相关长期增益的乘积与短期激励提取词乘积相关的短期增益的乘积SM相加。 相加的数字字在具有大于采样频率的四分之一的截止频率并且小于后者的一半的低通滤波器FLCT中被滤波，并且用滤波的字更新自适应编码目录。