This paper introduces Grassmannian frames, which are frames that minimize the maximal correlation between their elements. The concept is applied to both finite and infinite-dimensional Hilbert spaces. In finite dimensions, Grassmannian frames are defined as those that minimize the maximal correlation among all uniform frames with the same redundancy. These frames are closely related to spherical codes, equiangular line sets, and coding theory. The paper derives bounds on the minimal achievable correlation for Grassmannian frames and shows that optimal Grassmannian frames coincide with uniform tight frames under certain conditions. Explicit constructions of Grassmannian frames are provided using connections to graph theory, coding theory, and sphere packing. In infinite dimensions, Grassmannian frames are analyzed in relation to uniform tight frames, and an example of a Grassmannian Gabor frame is derived using sphere packing theory. The paper also discusses applications of Grassmannian frames in wireless communication and multiple description coding. Key concepts include frame theory, Grassmannian spaces, spherical codes, Gabor frames, and uniform tight frames. The paper highlights the importance of minimizing correlation in frames for applications such as error correction and signal processing.This paper introduces Grassmannian frames, which are frames that minimize the maximal correlation between their elements. The concept is applied to both finite and infinite-dimensional Hilbert spaces. In finite dimensions, Grassmannian frames are defined as those that minimize the maximal correlation among all uniform frames with the same redundancy. These frames are closely related to spherical codes, equiangular line sets, and coding theory. The paper derives bounds on the minimal achievable correlation for Grassmannian frames and shows that optimal Grassmannian frames coincide with uniform tight frames under certain conditions. Explicit constructions of Grassmannian frames are provided using connections to graph theory, coding theory, and sphere packing. In infinite dimensions, Grassmannian frames are analyzed in relation to uniform tight frames, and an example of a Grassmannian Gabor frame is derived using sphere packing theory. The paper also discusses applications of Grassmannian frames in wireless communication and multiple description coding. Key concepts include frame theory, Grassmannian spaces, spherical codes, Gabor frames, and uniform tight frames. The paper highlights the importance of minimizing correlation in frames for applications such as error correction and signal processing.