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Home > chinese-english > "psychoacoustic model" in English

English translation for "psychoacoustic model"

心理声学模型
Example Sentences:
1.Study on algorithms of low bit rate hi - fi audio coding based on wavelet transform and psychoacoustic model
基于小波变换和音质模型的音频编码算法研究
2.In this dissertation , psychoacoustic models filter banks quantization and bit allocation predicate coding and temporary noise shaping is analyzed
本文首先对心理声学模型、滤波器组、量化和比特分配、预测编码、时域噪声成型等技术进行研究。
3.A parametric psychoacoustic model based on critical band rate , level - dependent spreading function , non - linear superposition and forward masking was proposed
摘要提出了基于临界频带率、依赖于强度的扩展函数、非线性迭加和前向掩蔽效应的参数心理声学模型。
4.Furthermore , on the analysis of the psychoacoustic models , some simplification can be made in the psychoacoustic models . the purpose of this simplification is to reduce the bit rate of audio stream
此外,基于对心理声学模型的分析,对心理声学模型作若干近似,简化的目的是为了用较少的比特编码音频数据。
5.The newly proposed method makes good use of the psychoacoustic model . and the perceptual information contained in the synthesized signal is increased in a furthest way during the modeling procedure
感知梯度正弦建模比较好地利用了心理声学模型,在建模过程中最大限度地增加合成信号的感知信息,提高了建模效率。
6.The frequency analysis of the psychoacoustic model can give the inaudible , redundan elements of audio . in this paper we employ it to guarantee the inaudibility of the embedded watermark
心理声学模型的时频域分析主要用于音频数据的压缩编码,这里主要考虑将其用于音频水印算法中去,以便从理论的角度来考虑嵌入水印的不可感知性。
7.Second , we analysis the character of the human auditory system , especially the psychoacoustic model . then we analyze the principle of the audio part of mpeg - 1 which apply the psychoacoustic model to compressing the audio data
本文总结了人类听觉系统的特点,特别是人类听觉的感知特性,分析了mpeg标准音频部分所使用的心理声学模型。
8.Wth regard to the threshold which used in the algoritlun based on wavelat transform and are determined by experience , we put forward a automatic and adaptive algorithm that can calculate the suitable threshold . this suggested algorithm makes use of the frequency analysis of the psychoacoustic model to make the embedded watermark inaudible . this idea can be used in such sort of watermark embedded algorithins based on wavelet transform
对于使用量化小波系数的加水印的算法,对于其中要由经验来确定的量化阈值,本文结合心理声学模型的频域分析,提出了一种自适应的求量化阈值的方法,这一方法对于其它使用小波变换加水印的算法求阈值都有一定的参考价值。
9.In the next , we discuss the system of the meg - 1 layer i . the paper centers on the two kernel sub - parts : filtering coding and psychoacoustic model , do some research work in sub - band coding ( cbc ) theory and the relate theory such as quadrature mirror filter ( qmf ) and analyse sub - band filter ; also do research work in psychoacoustic theory especially the part related to the mpeg - 1 layer i . in the third chapter , introduce the ti tms320c6000 series dsps and their characteristics , also about the software development flow and the ti dsp / bios operating system of it . the forth chapter is the most important , firstly , according the algorithm flow in protocol , using c language validate the algorithm ; then , transplant and optimize the coding in dsp . in the processing of optimize , acording the assembler program characteristic of ti dsp , the paper put forward the analyse sub - band filter dsp optimization algorithm base on the eight spot idct . the algorithm has been optimize have greatly improved the work efficiency . make use of the technology of the dsp / bios host channels , data io pipe , software interrupt , we implement the musicam algorithm base on dsp / bios
论文首先对当前语音编码技术的发展、分类以及mpeg系列音频标准作了介绍;接着在第二章,给出了layer的musicam ( masking - patternuniversalsubbandintegratedcodingandmultiplexing )算法的系统组成,围绕分析子带滤波器和心理声学模型两个核心模块,深入研究了子带编码工作原理、比特分配及子带编码中用到的正交镜像滤波器和分析子带滤波器;探讨了心理声学基本原理和mpeg . 1layer所用到的心理声学模型。第三章对titms320c6000系列dsp作了简介,介绍了6000系列dsp结构特点、 c6000dsp软件开发流程和tidsp / bios操作系统。第四章是本文的重点,首先根据协议给出的算法用标准c语言编程实现并调试通过。
10.Following the direction of sinusoidal modeling and sinusoidal analysis , this thesis adopted the matching pursuit techniques along with the psychoacoustic model , explored some novel methods for sinusoidal modeling as well as the quantization of model parameters , and discussed the low bit rate speech coding and its related problems . the major contributions of this thesis are included in the following : 1
本文正是沿着正弦建模正弦分析的方向,采用匹配跟踪技术,结合心理声学模型,研究了新的建模方法以及模型参数的量化编码,对低位率语音编码及相关问题进行了有益的探索,并取得了如下创新性研究成果: 1
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