SVD
SVD（奇异值分解）是线性代数中的重要技术，广泛应用于信号处理、图像压缩、推荐系统等领域。通过将矩阵分解为三个更简单的矩阵乘积，SVD能够有效提取数据的核心特征，实现降维与噪声去除。对于电子工程师而言，掌握SVD不仅有助于理解复杂系统的内在结构，还能在实际项目中提升算法性能。本页面汇集了68个精选资...
资源总数
51
SVD 热门资料
查看全部 51 份 →1.Polarization analysis and filtering for three-component data 2.SUEIPOFI - EIgenimage (SVD) based
1.Polarization analysis and filtering for three-component data 2.SUEIPOFI - EIgenimage (SVD) based POlarization FIlter ...
2013-12-01
46
1.Polarization analysis and filtering for three-component data 2.SUEIPOFI - EIgenimage (SVD) based
1.Polarization analysis and filtering for three-component data 2.SUEIPOFI - EIgenimage (SVD) based POlarization FIlter ...
2017-01-27
97
1.Polarization analysis and filtering for three-component data 2.SUEIPOFI - EIgenimage (SVD) based
1.Polarization analysis and filtering for three-component data 2.SUEIPOFI - EIgenimage (SVD) based POlarization FIlter ...
2014-01-16
32
1.Polarization analysis and filtering for three-component data 2.SUEIPOFI - EIgenimage (SVD) based
1.Polarization analysis and filtering for three-component data 2.SUEIPOFI - EIgenimage (SVD) based POlarization FIlter ...
2014-01-19
171
基于SVD和小波变换的信道估计新方法
· 摘要： 在正交频分复用系统中,发射的信号在频域中经历了乘性衰落的同时还经历了加性噪声的干扰,从而影响了估计的质量.将小波去噪用于信道估计中以去除其中的加性干扰,然后基于奇异值低阶近似算法对信道转移矩阵再进行低阶近似...
2024-10-26
9