％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input da
％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input data, n=number of observations, d=dimension of varia...
covariance技术资料
📦 资源总数：14
💻 源代码：2418
协方差（Covariance）是统计学中衡量两个变量线性相关程度的重要指标，在电子工程领域，它被广泛应用于信号处理、模式识别及控制系统设计等多个方面。通过分析不同信号间的协方差关系，工程师可以更准确地进行噪声抑制、特征提取等工作。掌握协方差计算方法及其在实际项目中的应用技巧，对于提升系统性能具有重要意义。本页面汇集了14份精选资源，涵盖理论讲解与实践案例，助力您深入理解并灵活运用这一核心概念。
🔥 covariance热门资料
查看全部14个资源 »The angles in degrees of the two spatially propagating signals Compute the array response vectors o
The angles in degrees of the two spatially propagating signals Compute the array response vectors of the two signals Compute the true covariance mat...
使用INTEL矢量统计类库的程序,包括以下功能:  Raw and central moments up to 4th order  Kurtosis and
使用INTEL矢量统计类库的程序,包括以下功能:  Raw and central moments up to 4th order  Kurtosis and Skewness  Variation Coefficient  ...
Probability and Random Processes
Many good textbooks exist on probability and random processes written at the under- graduate level to the research level. However, there is no one han...
💻 covariance源代码
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