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  2. File:Non-Programmer's Tutorial for Python 3.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Non-Programmer's...

    You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.

  3. Iterator - Wikipedia

    en.wikipedia.org/wiki/Iterator

    Specifically, the for loop will call a value's into_iter() method, which returns an iterator that in turn yields the elements to the loop. The for loop (or indeed, any method that consumes the iterator), proceeds until the next() method returns a None value (iterations yielding elements return a Some(T) value, where T is the element type).

  4. Iterator pattern - Wikipedia

    en.wikipedia.org/wiki/Iterator_pattern

    In object-oriented programming, the iterator pattern is a design pattern in which an iterator is used to traverse a container and access the container's elements. The iterator pattern decouples algorithms from containers; in some cases, algorithms are necessarily container-specific and thus cannot be decoupled.

  5. Fast Walsh–Hadamard transform - Wikipedia

    en.wikipedia.org/wiki/Fast_Walsh–Hadamard...

    In computational mathematics, the Hadamard ordered fast Walsh–Hadamard transform (FWHT h) is an efficient algorithm to compute the Walsh–Hadamard transform (WHT). A naive implementation of the WHT of order n = 2 m {\displaystyle n=2^{m}} would have a computational complexity of O( n 2 {\displaystyle n^{2}} ) .

  6. Luby transform code - Wikipedia

    en.wikipedia.org/wiki/Luby_transform_code

    In computer science, Luby transform codes (LT codes) are the first class of practical fountain codes that are near-optimal erasure correcting codes. They were invented by Michael Luby in 1998 and published in 2002. [1] Like some other fountain codes, LT codes depend on sparse bipartite graphs to trade reception overhead for encoding and ...

  7. Stationary wavelet transform - Wikipedia

    en.wikipedia.org/wiki/Stationary_wavelet_transform

    The stationary wavelet transform (SWT) [1] is a wavelet transform algorithm designed to overcome the lack of translation-invariance of the discrete wavelet transform (DWT). Translation-invariance is achieved by removing the downsamplers and upsamplers in the DWT and upsampling the filter coefficients by a factor of 2 ( j − 1 ) {\displaystyle ...

  8. Unscented transform - Wikipedia

    en.wikipedia.org/wiki/Unscented_transform

    The motivation for this approach is given in his doctoral dissertation, where the term unscented transform was first defined: [2] Consider the following intuition: With a fixed number of parameters it should be easier to approximate a given distribution than it is to approximate an arbitrary nonlinear function/transformation. Following this ...

  9. Continuous wavelet transform - Wikipedia

    en.wikipedia.org/wiki/Continuous_wavelet_transform

    Continuous wavelet transform of frequency breakdown signal. Used symlet with 5 vanishing moments.. In mathematics, the continuous wavelet transform (CWT) is a formal (i.e., non-numerical) tool that provides an overcomplete representation of a signal by letting the translation and scale parameter of the wavelets vary continuously.