ESPRIT is a signal parameter estimation method using rotational invariance approaches, which is a subspace decomposing technique.
ESPRIT算法是一种用信号旋转不变性来估计信号参数的方法，属于子空间分解技术。
Basing on the signal space model, the harmonics in power system was detected by combining the subspace rotational invariance and least squares method.
该方法以信号空间模型为基础，结合子空间旋转不变性和最小二乘法实现了电力系统的谐波检测。
The new method firstly obtains two approximate rotational invariance relations about distributed sources central DOA by the Taylor series expansion of array steering vector.
新方法首先通过阵列方向矢量的泰勒级数展开获得关于分布源中心DOA的两个近似旋转不变关系。
By elegantly exploiting the rotational invariance property of the coding technology, a direct decoding algorithm without knowing channels state information (CSI) is derived in data gathering node.
通过利用编码中的旋转不变性，数据融合点无需了解信道状态信息(CSI)即可直接解码。
By elegantly exploiting the rotational invariance property of the coding technology, a direct decoding algorithm without knowing channels state information (CSI) is derived in data gathering node.
通过利用编码中的旋转不变性，数据融合点无需了解信道状态信息(CSI)即可直接解码。
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