June 2022
Intermediate to advanced
164 pages
4h 57m
English
Content preview from Noise Filtering for Big Data Analytics
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Index
-
- 2-D convolution
-
- ABIAS
- Akaike’s Information Criteria
- Alkinani, M.H., El-Sakka
- Annamária R. Várkonyi-Kóczy
- Antoni Buades, Bartomeu Coll, Jean-Michel Morel
- applications on digital images
-
- band-pass
- band-stop
- Bayesian information criterion
- bilateral filter
- Buades et al.
- Butterworth filter
-
- C. Muntaenu and A. Rosa
- Catté F, Lions PL, Morel JM, Coll T
- Chebyshev filters
- conservative smoothing
- constant smart filter
- continuous wavelet transform
- convexity
- convolution filters
- covariance
- Crimmins speckle removal
- cutoff frequency
-
- data
- database
- Deenan Surya Prabha & J. Satheesh Kumar
- denoising
- detrend
- detrending
- dictionary learning filtering
- digital filters
- digital image filters
- Discrete wavelet transform
- double exponential smoothing ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.