singular value decomposition method

基本解释

Low-rank estimation used the frequency correlation of the channel and singular value decomposition method.
低秩估计方法利用信道的频域（/时域）关性以及奇异值分解技术。
This paper introduces a typical SNR estimation algorithm by the use of autocorrelation matrix singular value decomposition method.
主要介绍了一种典型的信噪比估计算法，并对信噪比的自相关矩阵奇异值分解估计法进行了研究。
Truncated singular value decomposition method(TSVD)was introduced to deal with the ill-posed matrix equation and L-curve method was adopted to choose regularization parameter.
鉴于所考虑问题的不适定性，应用截断奇异值分解和L曲线准则求解离散后得到的高度病态的线性方程组。