Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
On the approximation of curves by line segments using dynamic programming
Communications of the ACM
Combinatorial data analysis: optimization by dynamic programming
Combinatorial data analysis: optimization by dynamic programming
Dynamic Programming
Near-optimal detection of geometric objects by fast multiscale methods
IEEE Transactions on Information Theory
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Bayesian Blocks is a technique for detecting and characterizing signals in noisy time series. This time-domain method establishes a representation with some features of wavelet expansions, but at the same time relaxing some of their restrictions. With Bayesian Blocks all details of the representation are flexible and determined by the data through optimization of a piecewise constant model. As with wavelets, Bayesian Blocks can effect denoising without explicit smoothing and the concomitant loss of information through degraded resolution.