TLS：总最小二乘
“总最小二乘”（Total Least Squares）是数学与工程领域中广泛应用的回归分析方法，常缩写为TLS，以方便学术写作与交流。该方法通过同时考虑自变量与因变量的误差，在数据拟合中具有更高的精度与适用性，常见于信号处理、系统辨识等多类科学研究场景。
Total Least Squares具体释义
Total Least Squares的英文发音
例句
- A new method based on the total least squares is proposed for sinusoidal retrieval.
- 本文提出了一种提取噪声中正弦信号的总体最小二乘方法。
- Perturbation Analysis and Condition Numbers of Scaled Total Least Squares(TLS) Problems and Symmetric Algebraic Riccati Equations
- 标度整体最小二乘问题及对称代数Riccati方程的扰动分析及条件数
- A scheme utilizing is presented that energy method linearizes nonlinear equations which are acquired by modeling and the equations are solved by the total least squares.
- 详细叙述了用能量法对建模的非线性方程进行线性化，并且利用总体最小二乘法对此类方程进行参数辨识。
- Harmonic State Estimation of Power System Based on Total Least Squares(TLS) and Its Error Analysis
- 基于总体最小二乘法的电网谐波状态估计及误差分析
- This paper analyzes the statistical characteristics of camera imaging error based on studying total least squares, and clarifies the error effect on estimating fundamental matrix.
- 在研究整体最小二乘法的基础上，分析摄像机成像误差的统计特征，明确误差对基础矩阵估计算法的影响。
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