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减少了运算复杂性
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  reduce the computational complexity
     This paper presents two algorithms, the two-dimensional FIR channel estimation and the two-dimensional adaptive Wiener channel estimation, both of which do not need the statistical parameters of the channel. The two algorithms not only reduce the computational complexity but also have a good performance in practice.
     本文提出了两种信道估计的算法——二维FIR信道估计和二维自适应Wiener信道估计,这两种方法不需要预先知道信道的统计参数信息,不仅减少了运算复杂性,而且在实际中具有很好的性能。
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  相似匹配句对
     Virtual Memory Design Reduces Program Complexity
     改进虚拟存储器的设计减少程序的复杂性
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     3) standard operation and reducing the operation quantity.
     3)运算规范 ,减少计算量
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     728 could be decreased by 40%.
     728算法复杂性可以减少40%。
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     The Way for Reducing Calculation Capacity in Realizing Calculations with Computer Language
     软件实现FFT运算减少运算量的途径
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     Complexity and post-modernism(Part Ⅰ)
     复杂性和后现代主义(上)
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  reduce the computational complexity
In order to reduce the computational complexity, wavelet decomposition is used to compress image data.
      
This paper presents a CRC (Cyclic Redundancy Check)-aided turbo equalization approach to reduce the computational complexity.
      
In order to reduce the computational complexity, the problem is decomposed into two sub-problems in this paper.
      
Several strategies are proposed to reduce the computational complexity of the LAMBDA method.
      
Finally, we discuss the usage of the first-order Markov model to form the analysis vectors for the higher order channels in Labplus to reduce the computational complexity.
      
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Non-linear features of EEG represent effectively different physiology states of brain, correlation dimension is different in different sleep stages. But G-P algorithm which be used to calculate D2 have some shortages, such as being robust against noise, not stable, and needing a big operation. An improved approach as follows: Firstly,to apply singular system analysis on phase space, transform the original phase space by circumvolving to a orthogonal equivalent space, then use G-P algorithm. This improved algorithm...

Non-linear features of EEG represent effectively different physiology states of brain, correlation dimension is different in different sleep stages. But G-P algorithm which be used to calculate D2 have some shortages, such as being robust against noise, not stable, and needing a big operation. An improved approach as follows: Firstly,to apply singular system analysis on phase space, transform the original phase space by circumvolving to a orthogonal equivalent space, then use G-P algorithm. This improved algorithm restrains noise interfere, depresses phase space dimensions, reduce calculation amount, and is favorable in calculating D2 of sleep EEG.

脑电的非线性参数能有效表达大脑的不同生理状态 ,不同睡眠期脑电的关联维数不同。但用G P算法求关联维数存在抗干扰能力较差、可靠性不稳定、运算量巨大等缺点。先对相空间进行奇异谱分析 ,进而对原始相空间进行旋转 ,使其成为正交的等效空间 ,然后再使用G P算法。改进后的算法能有效地抑制噪声干扰 ,降低相空间规模 ,减少运算复杂性 ,在睡眠脑电的关联维数计算上效果良好。

The precision of the Channel Estimator has a great impact on the performance of the DVB-T receiver. In current algorithms for channel estimation, linear estimation and polynomial estimation do not work well under poor channel conditions. The expenditure of the FFT and IFFT estimation is vast. The blind deconvolution estimation requires to get the statistical parameters of the channel, which greatly increases the computational amount. The classical Wiener estimation requires both the statistical parameters of...

The precision of the Channel Estimator has a great impact on the performance of the DVB-T receiver. In current algorithms for channel estimation, linear estimation and polynomial estimation do not work well under poor channel conditions. The expenditure of the FFT and IFFT estimation is vast. The blind deconvolution estimation requires to get the statistical parameters of the channel, which greatly increases the computational amount. The classical Wiener estimation requires both the statistical parameters of the channel and calculation of the inverse matrix. This paper presents two algorithms, the two-dimensional FIR channel estimation and the two-dimensional adaptive Wiener channel estimation, both of which do not need the statistical parameters of the channel. The two algorithms not only reduce the computational complexity but also have a good performance in practice.

信道估计的精确性对整个DVB-T接收系统的性能提高至关重要。在现有信道估计的算法中,线性估计和多项式估计不适用于环境恶劣的信道;FFT和IFFT估计实现代价太大;盲反卷积估计需要预先知道信道的统计参数,而信道统计参数的获得需要额外的代价;经典Wiener估计不仅需要获得信道的统计参数,而且需要对矩阵进行求逆,这就大大增加了算法的计算量。本文提出了两种信道估计的算法——二维FIR信道估计和二维自适应Wiener信道估计,这两种方法不需要预先知道信道的统计参数信息,不仅减少了运算复杂性,而且在实际中具有很好的性能。

 
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