公式タイトルと情報はIP Exchange PlusとPremiumのユーザーのみが利用可能です。
特許 権利維持 Compressed sensing (also known as compressive sensing, compressive sampling, or sparse sampling) is a signal processing technique for efficiently acquiring and reconstructing a signal, by finding solutions to underdetermined linear systems. This is based on the principle that, through optimization, the sparsity of a signal can be exploited to recover it from far fewer samples than required by the Shannon-Nyquist sampling theorem.
追加情報の詳細を見るにはIP Exchange PlusまたはIP Exchange Premiumアカウントにアップグレードする必要があります
