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   自回归滤波器 在 电信技术 分类中 的翻译结果: 查询用时:0.907秒
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自回归滤波器
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  autoregressive filter
The autoregressive filter order is optimized in the sense of minimum variance of the peak location.
      
A first-order autoregressive filter is altered by changing the constant gain to two or more gains that cyclically alternate in time.
      
The Operator Valued Autoregressive Filter Problem and the Suboptimal Nehari Problem in Two Variables
      
Necessary and sufficient conditions are given for the solvability of the operator valued two-variable autoregressive filter problem.
      
By minimizing the square errors of forward and backward predicting filters, autoregressive filter coefficients can be recursively solved, and receiver function is also estimated in the similar procedure.
      
  autoregressive filter
The autoregressive filter order is optimized in the sense of minimum variance of the peak location.
      
A first-order autoregressive filter is altered by changing the constant gain to two or more gains that cyclically alternate in time.
      
The Operator Valued Autoregressive Filter Problem and the Suboptimal Nehari Problem in Two Variables
      
Necessary and sufficient conditions are given for the solvability of the operator valued two-variable autoregressive filter problem.
      
By minimizing the square errors of forward and backward predicting filters, autoregressive filter coefficients can be recursively solved, and receiver function is also estimated in the similar procedure.
      


China's defence needs motivate the authors to study the generation of background noise that satisfics stringent requirements. The spectral structure of simulated background noise should approach closely that of real background noise and the simulation should be real-time.There appears to be no ready made solution for the above problem in the open literature. For example, AR (autoregrcssive) filter is, in the authors' opinion, needed for solving the problem but its detailed design for the authors special purpose,...

China's defence needs motivate the authors to study the generation of background noise that satisfics stringent requirements. The spectral structure of simulated background noise should approach closely that of real background noise and the simulation should be real-time.There appears to be no ready made solution for the above problem in the open literature. For example, AR (autoregrcssive) filter is, in the authors' opinion, needed for solving the problem but its detailed design for the authors special purpose, is not available.In the design of the needed AR filter, the authors make use of ten equations: eqs(3)~(12), which arc all well-known. The authors call their inverse-design method 'the AR data model fitting technique", in which the essential feature is that frequency response of AR filter is made to approach as closcly as possible the spectral structure of background noise. Only an outline of the inverse-design method is given in the full paper. To make real-time operation possible, much careful attention is paid to making purchased TMC 2310 and TMS320C25 chips form core of AR filter so as to provide VLSI support.The above AR filter with its VLSI implementation has been functioning satisfactorily in several operational engineering systems.

讨论了一种用自回归(AR)数据模型拟合生成具有指定功率谱结构的背景噪声的方法及其VLSI实现,提出了一种基于VLSI支持的双自回归滤波器,完成了对这种滤波器的设计方法—逆设计方法—的研究和它的工程建造工作.一个实际应用系统运行的结果,证明了这种背景噪声模拟方法的正确性及技术实现的合理性.

The doppler-shift of the time-varying multi-path channel was estimated by calculating the level crossing rate (LCR) of the signal envelope of the channel coefficient estimates on the effective fingers. Because of the needed long observation time and large storage, we recommend to use the 1st order autoregressive(AR(1)) filter to shorten the observation time and storage requirement, and the estimation accuracy is guaranteed at the same time .

时变多径信道的多普勒频偏可以利用有效到达径上信道包络的电平通过率进行估计,而可靠的估计需要足够长的观察时间长度和较大的存储量,文章利用一阶自回归滤波器进行改进,从而使得通信系统在各种移动速度和信噪比下,都能在较短的观察时间长度内以较小的存储量得到可靠的多普勒频偏估计值。

 
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