The least mean square ( LMS ) algorithm is researched primarily and applied to the vibration active control system. 对LMS(最小均方(MS))自适应滤波算法进行了初步研究,并将其应用于此振动主动控制系统中。
We develop the minimum mean square error ( MMSE ) method for stripe nonuniformity correction ( NUC ). 本文提出了可进行条纹非均匀性校正的最小均方(MS)误差法(MMSE)。
A fast encoding algorithm based on the Mean Square(MS) Error ( MSE ) distortion for vector quantization is introduced. 研究了一种基于均方(MS)误差(MSE)测度的矢量量化快速编码算法。
The validity and feasibility of the algorithm is tested through a simulation experiment and two appraisal criterions & mean square error ( MSE ) and peak value signal to noise ratio ( PSNR ). 通过仿真实验结果及均方(MS)误差(MSE)和峰值信噪比(PSNR)两种评价准则说明了该算法的有效性和可行性。
The aim of this paper is to investigate the asymptotically mean square stability ( MS-stable ) of the analytical solution and the numerical method ( the continuous θ - method ) for a linear stochastic pantograph equation. 本文目的是研究线性随机比例方程解析解和数值方法(连续θ-方法)的渐近均方(MS)稳定性。