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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.
More specific types of resampling include: upsampling or upscaling; downsampling, downscaling, or decimation; and interpolation. The term multi-rate digital signal processing is sometimes used to refer to systems that incorporate sample-rate conversion.
Decimation is the process of reducing sample rate. Decimation originally meant "take one sample in every 10", but later this term was generalized to simply mean any reduction in sample rate. This electronics-related article is a stub .
Upsampling requires a lowpass filter after increasing the data rate, and downsampling requires a lowpass filter before decimation. Therefore, both operations can be accomplished by a single filter with the lower of the two cutoff frequencies.
The dominant research method is the randomised controlled trial. Qualitative research is based in the paradigm of phenomenology, grounded theory, ethnography and others, and examines the experience of those receiving or delivering the nursing care, focusing, in particular, on the meaning that it holds for the individual
Decimation, Decimate, or variants may refer to: Decimation (punishment) , punitive discipline Decimation (signal processing) , reduction of digital signal's sampling rate
Downscaling is any procedure to infer high-resolution information from low-resolution variables. This technique is based on dynamical or statistical approaches commonly used in several disciplines, especially meteorology , climatology and remote sensing .
This filter can be used for crude but fast and easy downsampling (a.k.a. decimation) by a factor of . The simplicity of the filter is foiled by its mediocre low-pass capabilities. The stop-band contains periodic lobes with gradually decreasing height in between the nulls at multiples of f S N {\textstyle {\frac {f_{S}}{N}}} .