Finally, based on OV algorithm, proposes LS2 algorithm, effectively solves the problem of LS algorithm.
最后，以OV算法为基础，提出LS2算法，有效地解决了LS算法的问题。
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 experiment results show that the algorithm has good error feature and the compression efficiency is slightly lower than that of JPEG-LS and JPEG2000.
实验结果表明，本算法具有很好的抗误码性能，压缩效率比JPEG-LS和JPEG2000略有下降。
Time series modeling and identification techniques were analyzed and the ARMA time series model based on robust LS-SVM algorithm was proposed.
对时序数据建模与辨识技术进行了分析，提出了使用鲁棒LS-SVM算法建立ARMA时序预测模型。
Analyze and compare the performance of LS, MMSE, LMMSE and their modified algorithm.
对LS、MMSE和LMMSE及其改进算法的性能进行了分析比较。
A linear scaling(LS) based dynamic programming(DP) algorithm was developed for accurate matching of queries by humming.
提出一种用于哼唱识别精确匹配的线性伸缩动态规划算法。
The feasibility to simulate the initial earth stress of the large underground structure by using the algorithm of dynamic relaxation and system damping in LS-DYNA is investigated.
主要研究使用LS-DYNA的动力松弛算法和系统阻尼算法相结合来求解大型地下结构初始地应力状态的可行性。
It takes MATLAB as testing platform, after simulating on the leaves and structure in IFS and LS respectively, it realizes the simulation in hybrid algorithm.
以MATLAB作为仿真平台，在分别实现LS和IFS算法模拟树的结构和叶片的基础上，实现了混合算法的模拟。
The results of simulation test on standard images show that the performance of this algorithm is obviously better than that of the standard algorithm (LOCO I) provided by the JPEG LS of ISO.
对标准图像的仿真测试结果表明，该算法的性能明显优于国际标准化组织JPEG- L S提供的标准无损压缩算法。
The LS-DRMTCM algorithm and DR-LMS algorithm are first introduced, then a variable step-size PN cold filter adaptive beamforming algorithm is presented.
首先介绍了LS-DRMTCM算法和DR-LMS算法，然后提出了一种变步长的码滤波波束形成算法。
A nonlinear predictive control algorithm based on least squares support vector machines (LS-SVM) model was proposed.
提出一种基于最小二乘支持向量机(LS - SVM)的非线性系统预测控制算法。
It is shown from simulation results that the algorithm satisfies the requirements of adaptive beamforming, and has better convergence and output performances than LS-DRMTA.
最后对算法的性能进行了仿真，仿真结果表明：该算法达到了自适应波束形成的要求，与LS - DRMTA算法相比具有更佳的收敛和输出性能。
After introducing the major algorithm and the development of numerical simulation, the dynamic finite element program LS-DYNA is used to simulate earth penetrating weapon penetrating concrete.
介绍了数值模拟的主要算法和发展趋势，并利用有限元程序LS - DANA对钻地弹侵彻混凝土进行了模拟。
This algorithm combines the block Pilot-aided LS channel estimation algorithm with a phase tracking algorithm, which can compensate the phase rotation caused by the residual carrier frequency offset.
该算法在传统的基于块状导频的Ls信道估计算法的基础上，加入了相位跟踪算法，补偿了由残余频偏带来的相位旋转。
In this paper, a novel clustering algorithm is proposed, which is suitable for the non-uniformly distributed LS-WSNs.
该文针对节点非均匀分布的大规模WSN，提出了一种分簇算法。
In Chapter Four, the common OFDM channel Estimation algorithm, including LS and MMSE method is studied and its corresponding performance is simulated and analyzed in UWB channel.
第四章主要研究了OFDM系统常见的信道估计方法，包括LS、MMSE等算法，并且在UWB信道条件下进行了相应的性能仿真和分析。
Then, parameters selection method of LS-SVR was proposed based on adaptive immune algorithm (AIA) plus 5-fold cross validation, which was applied to inverse kinematics modeling of 2DOF robot.
并将其应用于两自由度机器人的逆运动学建模中，仿真结果表明了该方法的有效性。
Then, parameters selection method of LS-SVR was proposed based on adaptive immune algorithm (AIA) plus 5-fold cross validation, which was applied to inverse kinematics modeling of 2DOF robot.
并将其应用于两自由度机器人的逆运动学建模中，仿真结果表明了该方法的有效性。
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