To improve beamforming under low signal-to-noise ratio, a method based on stochastic resonance(SR)in a bistable model is investigated by using a frequency scale transformation method.
为了改善低信噪比下波束形成的性能，从双稳态随机共振模型出发，提出了利用频率尺度变换，将随机共振和波束形成结合起来的算法。
Variations in environmental variables and measurement errors often result in large and heterogeneous deviations in fitting fish stock-recruitment (SR) data to an SR statistical model.
由于渔业资源评估中补充量的剧烈变动、亲体量的测量误差以及时间序列的偏差常常使亲体补充量（SR）关系模型的确定存在很大偏差问题。
The results show that the forecasting precision of the PPR model is much better than that of stepwise regression (SR) model.
结果表明，PPR模型的预测效果明显优于逐步回归预测模型，对福建热带气旋年季频数具有较好的预测能力。
Nonlinear least squares method is employed to solve the model to get the global motion area of SR resolution.
最后基于非线性最小二乘法对模型进行优化求解，得出了SR重建图像及其全局运动域。
The framework then can turn to SR resolution and motion estimation model.
然后将总体框架转换为图像SR重建模型和运动估计模型；
The given algorithm can be used easily to choose coefficients for control law with multi-loop configuration, and a design example with SR-61 hover model shows its convenience and effectiveness.
该算法可普遍应用于多回路控制律选参问题的求解，对SR-61悬停模态控制律设计的算例显示了它的直观和有效。
The given algorithm can be used easily to choose coefficients for control law with multi-loop configuration, and a design example with SR-61 hover model shows its convenience and effectiveness.
该算法可普遍应用于多回路控制律选参问题的求解，对SR-61悬停模态控制律设计的算例显示了它的直观和有效。
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