1. The Least Mean Squares algorithm (LMS) SD研究的最陡下降方法是一种递归计算信号统计量已知时维纳滤波器的递归算法 (knowledge about R och p)。 问题是,这个信息通常是未知的! LMS是一种基于与最陡下降法相同的原理的方法,但其统计量是连续估计的。 由于统计量是连续估计的,因此LMS算法可以适应信号统计量...
NLMS (Normalized Least Mean Squares) 是LMS (Least Mean Squares) 算法的一种改进。与LMS算法相比,NLMS算法具有更快的收敛速度和较小的稳态误差。NLMS算法的更新公式为: 其中, :当前时刻的权重向量。w(n):当前时刻的权重向量。 :步长因子,用于控制算法的收敛速度。μ:步长因子,用于控制算法的收敛速度。
The input signal is used in the least mean squares calculation. Thus, if this filter is used in the stage prior to coding, the target rate distortion characteristics adapted to the input signal can be more faithfully achieved. By smoothly assigning the target gains to adjacent subbands, this ...
网络最小自乘平均 网络释义 1. 最小自乘平均 ... Linear Model)程序进行变方分析,并以最小自乘平均(Least Squares Mean)检定处理平均间之差异显著性。 www.csas.org.tw|基于 1 个网页
Least Mean Squares Regression(一) 1. Examples 假设我们想从一辆汽车的重量和年龄来预测它的里程数: 我们想要的是:一个可以使用x1x1和x2x2来预测里程的function。 线性回归:利用线性模型预测连续值的策略 假设:输出是输入的线性函数 Mileage=w0+w1⋅x1+w2⋅x2Mileage=w0+w1⋅x1+w2⋅x2 学习:利用...
A new technique for the least-mean-squares (LMS) phase-unwrapping method is developed that incorporates the concept of branch cuts between phase singularities (residues), which are usually associated with the path-following gradient integration technique. These branch cuts are introduced by decomposition...
On typical echo paths, the proportionate normalized least-mean-squares (PNLMS) adaptation algorithm converges significantly faster than the normalized least-mean-squares (NLMS) algorithm generally used in echo cancelers to date. In PNLMS adaptation, the adaptation gain at each tap position varies from...
In order to exploit the underlying sparsity of the vector of interest, we incorporate the 1- and 0-norm constraints into the cost function of the standard diffusion least-mean squares (LMS). This technique is equivalent to adding a zero-attracting term in the iteration of the LMS-based ...
Multiple-Training Least Mean Squares multiple-tubing string multiple-tuned antenna Multiple-Turbo multiple-unit semiconductor device multiple-unit steerable antenna multiple-unit tube Multiple-universe theory Multiple-universe theory Multiple-use development ...
The proposed two-dimensional median least mean squares (TDMLMS) algorithm is a gradient-based steepest descent algorithm and employs the sample median of the instantaneous gradients within a suitable window as a measure of the true gradient. The nonlinear action of the median filtering operation ...