matrix x inversion矩阵求逆
Matrix-Inversion-Free Kalman Filtering无矩阵求逆卡尔曼滤波
sample matrix inversion样本矩阵求逆;采样矩阵求逆;求逆法;算法以及采样矩阵求逆
matrix method of inversion矩阵反演法
matrix inversion method逆矩阵法
Sample Matrix Inversion Algorithm样矩阵求逆算法
Non Matrix Inversion非求逆
generalized inverse matrix inversion广义逆反演
matrix inversion formula矩阵反演公式
The matrix inversion is realized by singular value decomposition and the matrix is divided into multiple 2×2 sub-matrix parallel processing units.
采用奇异值分解来实现矩阵求逆,并将矩阵分为多个处理2×2子矩阵的并行运算单元同时运算。
参考来源 - 基于FPGA的非线性滤波算法实现研究This arithmetic not only improved the precision of model identification but also avoided on-line computation of Diophantine equation. Furthermore it simplified the calculation of matrix inversion, so the controller burden was decreased drastically.
该算法不仅提高了模型辨识的精度，而且避免了Diophantine方程的在线求解，并将复杂的大矩阵求逆问题简化为简单的对角阵求逆，大大减小了控制器的运算负荷，有利于广义预测控制在冷连轧这样快速系统中的应用，进一步拓宽了预测控制的应用范围。
参考来源 - 冷连轧张力神经网络预测控制系统的研究