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首页> 外文期刊>IEEE Transactions on Signal Processing >A Variance Equality Test for Two Correlated Complex Gaussian Variables With Application to Spectral Power Comparison
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A Variance Equality Test for Two Correlated Complex Gaussian Variables With Application to Spectral Power Comparison

机译:两个相关复高斯变量的方差相等检验及其在谱功率比较中的应用

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摘要

Complex-valued Gaussian distributions occur frequently in signal processing. We derive a simple statistic, independent of any complex-valued correlation, for testing for the equality of variances using a sample drawn from such a bivariate distribution. The percentage points of the distribution are easy to compute. The power of the test is determined and shown to be high even for very small sample sizes when the variables are highly correlated. The new test is used to determine whether the spectral power associated with an ultralow-frequency wave in the solar magnetic field is equal at two different observing spacecraft
机译:复数值高斯分布在信号处理中经常发生。我们得出一个简单的统计量,独立于任何复数值相关性,使用从这样的双变量分布中抽取的样本来测试方差的相等性。分布的百分比很容易计算。当变量高度相关时,即使对于很小的样本量,测试的功效也被确定并显示为高。新的测试用于确定在两个不同的观测航天器中,与太阳磁场中的超低频波相关的频谱功率是否相等

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