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The term decimation was first used in English to mean a tax of one-tenth (or tithe). Through a process of semantic change starting in the 17th century, the word evolved to refer to any extreme reduction in the number of a population or force, or an overall sense of destruction and ruin, not strictly in the punitive sense or to a reduction by ...
Decimation, Decimate, or variants may refer to: Decimation (punishment) , punitive discipline Decimation (signal processing) , reduction of digital signal's sampling rate
In digital signal processing, downsampling, compression, and decimation are terms associated with the process of resampling in a multi-rate digital signal processing system. Both downsampling and decimation can be synonymous with compression , or they can describe an entire process of bandwidth reduction ( filtering ) and sample-rate reduction.
a)1-D Decimation b)1-D Interpolation. Theoretically, explanations of decimation and interpolation are: [1] • Decimation (Down-sampling): The M times decimated version of x(n) is defined as y(n)= x(Mn), where M is a nonsingular integer matrix called decimation matrix. In the frequency domain, relation becomes
The term "decimated" is a horrifying one, and evidently is sufficiently horrifying to satisfy many otherwise well-informed writers, so WP desperately needs to deprecate, and otherwise counter, its vague use:
In signal processing, oversampling is the process of sampling a signal at a sampling frequency significantly higher than the Nyquist rate.Theoretically, a bandwidth-limited signal can be perfectly reconstructed if sampled at the Nyquist rate or above it.
English: Each of 3 pairs of graphs depicts the spectral distributions of an oversampled function and the same function sampled at 1/3 the original rate. The bandwidth, B, in this example is just small enough that the slower sampling does not cause overlap (aliasing).
A progressive mesh is a data structure which is created as the original model of the best quality simplifies a suitable decimation algorithm, which removes step by step some of the edges in the model (edge-collapse operation). It is necessary to undertake as many simplifications as needed to achieve the minimal model.