As an important tool of signal process and data analysis, MCA (minor component analysis) has been widely used in beamforming, frequency estimation, curve/surface fitting, computer graphics and many other engineering fields.
作为一种重要的信号处理和数据分析的工具,最小主元分析(MCA)已经被广泛的应用到了曲线/曲面拟合、数字波束形成、移动目标检测、计算机图形处理、频率估计、总体最小二乘法(TLS)等众多工程领域。
参考来源 - MCA神经网络在数字水印中的应用·2,447,543篇论文数据,部分数据来源于NoteExpress
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