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。

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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。

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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。

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