LS algorithm and DFT-based algorithm were studied and signal-to-noise estimation algorithms in AWGN channel were introduced to SC-FDE systems.
研究了LS算法及其DFT改进算法，并将高斯白噪声信道中的信噪比估计方法引入到单载波频域均衡系统中。
Meanwhile, given the weak accuracy of LS algorithm, IPF-LS and IDF-LS are proposed which can enhance the accuracy of channel estimation by employing time-domain low-pass filter.
同时，针对梳状导频ls信道估计精度较低的情况，提出了通过时域低通滤波提高其估计精度的IPF -LS和IDF - LS改进算法。
Because the LS algorithm is independent of channel statistical characteristics and has low complexity, LS channel estimating algorithm and DFT interpolating algorithm are chosen.
由于LS算法不依赖于信道统计特性和较低的计算复杂度，本文最终选用了LS信道估计算法和DFT插值算法。
Finally, an improved channel estimation algorithm based on LS algorithm is presented. Considering the infection of the noise, the new algorithm has better performance under low SNR.
最后作者提出一种改进型LS信道估计算法，该算法考虑了LS算法中噪声的影响，从而提高了低信噪比下信道估计的精度。
The least square algorithm using forward and backward linear prediction (LS algorithm) for the autoregressive spectral estimates of the SMMW Fourier transform spectroscopy data is presented.
本文介绍自回归谱分析法的另一种算法—前后向最小二乘法(LS算法)在亚毫米波付里叶变换谱中的应用。
The least square algorithm using forward and backward linear prediction (LS algorithm) for the autoregressive spectral estimates of the SMMW Fourier transform spectroscopy data is presented.
本文介绍自回归谱分析法的另一种算法—前后向最小二乘法(LS算法)在亚毫米波付里叶变换谱中的应用。
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