窄带高斯噪声

窄带高斯噪声窄带高斯噪声
  1. 导出了局部最佳(LO)检测器结构,它具有在窄带高斯噪声中的尼曼-皮尔逊(Neyman-Pearson)最佳检测器里引入局部最佳零记忆非线性(LOZNL)的形式。

    The structures of local-opti-mum ( LO ) detector are developed and found to be in the form of incorporating a local-optimum zero-memory nonlinearity ( LOZNL ) into the Neyman-Pearson optimum detector for narrowband Gaussian noise .

  2. 导出局部最佳秩检测器(LORD)的结构,发现其形式为在窄带高斯噪声中的N-P最佳检测器中引入求秩器和局部最佳秩零记忆非线性(LORZNL)。

    The structure of the locally optimum rank detector ( LORD ) is derived and found to be in the form of incorporating a ranker and a locally optimum rank zero-memory nonlinearity ( LORZNL ) into the Neyman-Pearson optimum detector for narrowband Gaussian noise .

  3. 说明在皮特曼(Pitman)的渐近相对效率(ARE)意义上,许多具有能更多抑制噪声包络分布尾部的非线性的检测器,其渐近性能明显优于窄带高斯噪声中的尼曼-皮尔逊最佳检测器。

    It is shown that , in the sense of Pitman asymptotic relative efficiency ( ARE ), the asymptotic performance of many detectors whose nonlinearity can more effectively suppress the tail of the noise envelope distribution is apparently better than that of the Neyman-Pearson optimum detector for narrowband Gaussian noise .

  4. 讨论了被动单脉冲导引头对窄带高斯噪声干扰源的角度分辨。

    The angle resolving method of two narrow band Gaussian noise jammers for the passive monopulse seeker is presented .

  5. 窄带非高斯噪声中的离散时间检测第二部分:Weibull和对数正态噪声中的检测

    Discrete-Time Detection in Narrowband Non-Gaussian Noise-Part ⅱ: Detection in Weibull and Log-Normal Noise

  6. 基于窄带混合高斯噪声的最佳检测

    The Optimum Detection in the Noise Based on Narrow-band Mixture Gaussian Model

  7. 式中、分别是窄带高斯白噪声。

    In the formula , and are narrowband white Gaussian noises respectively .

  8. 得到加性窄带混合高斯噪声中确知信号的最佳阈值检测器,通过仿真验证模型的有效性。

    The optimum detector of the known signals in narrow-band mixture gaussian noise model is realized .

  9. 本文研究窄带非高斯噪声中窄带信号的离散时间检测。

    This paper makes an investigation into the discretes-time detection of narrowband signals in narrowband non-Gaussian noise .