| 1. | Two - dimensional harmonic retrieval in correlative multiplicative and additive noise
相关乘性和加性噪声背景下的二维谐波恢复 |
| 2. | Autoregressive model - based robust speech recognition in additive noise environment
基于自回归模型的加性噪声环境稳健语音识别 |
| 3. | To solve this problem , the output signal of the sensor with additive noises were decomposed , denosied and reconstructed by wavelet analysis
利用消噪后的信号，通过系统辨识方法建立传感器动态特性的补偿环节。 |
| 4. | Bimodal noise is one simple , hybrid noise consisting of two kinds of additive noises . as a whole , it belongs to non - gauussian noise
双模噪声是由两种噪声迭加成的简单混合噪声，从整体上说属于非高斯噪声。 |
| 5. | The accuracy of a speech recognition system in actually noisy environment is seriously affected by the additive noise and the channel distortions
实际环境中的背景噪声和传输通道变化所引起的畸变严重影响了语音识别系统的性能。 |
| 6. | Two cases have been considered : the case of no correlations between multiplicative and additive noise and the case of correlations between two noises
卜s二rsth三引s之间不存在关联的倩况，另一种是两噪声之间存在关联的情况。 |
| 7. | The dynamical property of a one - dimensional nonlinear system is investigated when the coupling between multiplicative and additive noise terms is colored noise
我们将泛函近似方法应用到乘性噪声和加性噪声之间的耦合为色噪声的一维非线性系统中，研究了系统的动力学行为。 |
| 8. | This paper presented a ml estimator for the estimation of high - frequency sampling noise model to solve the problem that high - frequency sampling suffer from both additive noise and time jitter error estimation
摘要针对高频数字采样中的附加噪声和时间抖动误差估计问题，给出了高频数字采样测量噪声误差的最大似然估计方法。 |
| 9. | The stochastic resonance phenomenon in a bistable system under the simultaneous action of multiplicative and additive noise and periodic signal is studied by using the theory of signal - to - noise ( snr ) ratio in the adiabatic limit
利用随机共振理论，我们研究了在乘性和加性噪声以及周期性驱动力共同作用下的双稳系统的随机共振现象。 |
| 10. | The expressions of the snr for both cases are obtained . the effects of intensity of multiplicative and additive noise and the intensity of the correlations between noises on the snr are discussed for both cases
“主要的令人意外的新发现”在于，当噪声之间存在关联时，噪声关联导致系统对其初始位置产生了记忆，导致信噪比强烈地依赖于初始条件。 |
