...
首页> 外文期刊>IEEE Transactions on Circuits and Systems. 1, Fundamental Theory and Applications >Discrete multitone modulation with principal component filter banks
【24h】

Discrete multitone modulation with principal component filter banks

机译:具有主成分滤波器组的离散多音调制

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Discrete multitone (DMT) modulation is an attractive method for communication over a nonflat channel with possibly colored noise. The uniform discrete Fourier transform (DFT) filter bank and cosine modulated filter bank have in the past been used in this system because of low complexity. We show in this paper that principal component filter banks (PCFB) which are known to be optimal for data compression and denoising applications, are also optimal for a number of criteria in DMT modulation communication. For example, the PCFB of the effective channel noise power spectrum (noise psd weighted by the inverse of the channel gain) is optimal for DMT modulation in the sense of maximizing bit rate for fixed power and error probabilities. We also establish an optimality property of the PCFB when scalar prefilters and postfilters are used around the channel. The difference between the PCFB and a traditional filter bank such as the brickwall filter bank or DFT filter bank is significant for effective power spectra which depart considerably from monotonicity. The twisted pair channel with its bridged taps, next and fext noises, and AM interference, therefore appears to be a good candidate for the application of a PCFB. This is demonstrated with the help of numerical results for the case of the ADSL channel.
机译:离散多音(DMT)调制是一种在非平坦信道上进行通信的诱人方法,可能带有彩色噪声。由于复杂度低,过去一直在该系统中使用统一离散傅里叶变换(DFT)滤波器组和余弦调制滤波器组。我们在本文中表明,已知对于数据压缩和降噪应用而言最佳的主成分滤波器组(PCFB)对于DMT调制通信中的许多标准也是最佳的。例如,就最大化固定功率和错误概率的比特率而言,有效信道噪声功率谱的PCFB(由信道增益的倒数加权的噪声psd)对于DMT调制是最佳的。当在通道周围使用标量前置滤波器和后置滤波器时,我们还将建立PCFB的最优属性。 PCFB与传统滤波器组(例如砖墙滤波器组或DFT滤波器组)之间的差异对于有效功率谱而言非常重要,而有效功率谱与单调性大不相同。因此,双绞线通道及其桥接的抽头,下一个和下一个噪声以及AM干扰似乎是PCFB应用的理想选择。借助ADSL信道情况下的数值结果可以证明这一点。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号