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心理声学模型的英文

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"心理声学模型"怎么读用"心理声学模型"造句

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  • psychoacoustic model

例句与用法

  • 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。
  • 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
  • The experiments verify that with these new technologies , the amount of sinusoids can be greatly reduced and the tracking efficiency can be greatly improved
    实验证明,将这两种方法与参数心理声学模型相结合,可以有效地减少所需的正弦波数量,大大提高正弦波跟踪的效率。
  • 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。
  • 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。
  • 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。
  • 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
  • At last , the encoding hardware structure of mpeg - 1 layer ii is put forward . second , in the paper , we have analyzed every module of the structure and estimated it ' s complexity . then the sub - band filter bank and psycho - acoustic modules are more investigated
    其次,分析了硬件结构中各个模块并估计了它们的运算复杂性,然后对子带滤波器组和心理声学模型作了进一步的探讨,提出了基于fft的高效实现算法及其硬件结构。
  • 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。
  • The focus is placed on the investigation of the standard of the encoding algorithm for mpeg audio layer iii , and the analysis of the major four modules in the compression algorithm , including encoding of subband filter bank , psychoacoustics model , quantification and huffman coding , frame packing
    重点研究了mpeg音频第层编码的算法标准。详细分析了压缩算法中的四个主要功能模块:子带滤波器组编码,心理声学模型,比特流量化与霍夫曼编码,帧数据流格式化。
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