PcA技术,即印刷电路板装配,是现代电子制造的核心工艺之一。它涵盖了从设计到组装的全过程,广泛应用于消费电子、汽车电子、通信设备等多个领域。掌握PcA技术不仅能够提升产品的可靠性和性能,还能优化生产成本。本页面汇集了288个精选PcA资源,包括设计指南、案例分析及最新技术趋势,为电子工程师提供全面的学习和参考材料,助力您在电子制造领域取得领先地位。
PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are no...
👤 hakim
⬇️ 185 次下载
PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are no...
👤 cylnpy
⬇️ 197 次下载
PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are no...
👤 JIUSHICHEN
⬇️ 196 次下载
Two-Dimensional PCA:
A New Approach to Appearance-Based
Face Representation and Recognition...
👤 aa54
⬇️ 173 次下载
将pca和elman神经网络结合起来,找到了主要的变量...
👤 561596
⬇️ 69 次下载