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[Documents] BCS DL : 0: 压缩传感是一个从2006年左右开始兴起的研究领域，它关注于如何采样信号，也就是信号的采样方式或者压缩方式。通过设计一种特殊的采样方案，可以使得采样频率降低为信号的“信息率”，而不是传统的奈奎斯特采样率，于是，实际的采样率可以大大低于奈奎斯特频率，却只损失很少的信息量，依然保持了充足的信息量足以恢复出采样前的原始信号。这个研究思想挑战了奈奎斯特频率的理论极限，会对整个信号处理领域产生极其深远的影响，同时，信号处理的许多应用领域也会随之发生根本性的发展和变化。 -Compressive sensing (CS) is an emerging ﬁ eld based on the revelation that a small collection of linear projections of a sparse signal contains enough information for sta- ble, sub-Nyquist signal acquisition. When a statistical characterization of the signal is available, Bayesian inference can complement conventional CS methods based on linear programming or greedy algorithms. We perform approximate Bayesian infer- ence using belief propagation (BP) decoding, which represents the CS encoding matrix as a graphical model. Fast encoding and decoding is provided using sparse encoding matrices, which also improve BP convergence by reducing the presence of loops in the graph. To decode a length-N signal containing K large coeﬃ cients, our CS-BP decoding algorithm uses O(K log(N)) measurements and O(N log2 (N)) computation. Finally, sparse encoding matrices and the CS-BP decoding algorithm can be modiﬁ ed to support a variety of signal models and measurement noi
Date : 2025-12-29 Size : 234kb User : romman
[Documents] ssd DL : 0: Those are a set of matlab functions for the tracking of a planar patch using direct grey levels information (a.k.a. SSD). We hage implemented the Hager and Belhumeur s Jacobian matrix factorisation for the translation
Date : 2025-12-29 Size : 11kb User : Amir