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  2. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    Python sets are very much like mathematical sets, and support operations like set intersection and union. Python also features a frozenset class for immutable sets, see Collection types. Dictionaries (class dict) are mutable mappings tying keys and corresponding values. Python has special syntax to create dictionaries ({key: value})

  3. In-phase and quadrature components - Wikipedia

    en.wikipedia.org/wiki/In-phase_and_quadrature...

    I(t) and Q(t) are the time-series data for the in-phase and quadrature components. S is the signal . IQ data has extensive use in many signal processing contexts, including for radio modulation, software-defined radio, audio signal processing and electrical engineering. I/Q data is a two-dimensional stream.

  4. Chirplet transform - Wikipedia

    en.wikipedia.org/wiki/Chirplet_transform

    In signal processing, the chirplet transform is an inner product of an input signal with a family of analysis primitives called chirplets. [ 2 ] [ 3 ] Similar to the wavelet transform , chirplets are usually generated from (or can be expressed as being from) a single mother chirplet (analogous to the so-called mother wavelet of wavelet theory).

  5. Barker code - Wikipedia

    en.wikipedia.org/wiki/Barker_code

    “The problem of communication was primarily viewed as a deterministic signal-reconstruction problem: how to transform a received signal, distorted by the physical medium, to reconstruct the original as accurately as possible” [2] or see original. [3] In 1948 electronics was advancing fast but the problem of receiving accurate data had not.

  6. Gabor transform - Wikipedia

    en.wikipedia.org/wiki/Gabor_transform

    When processing temporal signals, data from the future cannot be accessed, which leads to problems if attempting to use Gabor functions for processing real-time signals. A time-causal analogue of the Gabor filter has been developed in [ 2 ] based on replacing the Gaussian kernel in the Gabor function with a time-causal and time-recursive kernel ...

  7. Sparse Fourier transform - Wikipedia

    en.wikipedia.org/wiki/Sparse_Fourier_transform

    The fast Fourier transform (FFT) plays an indispensable role on many scientific domains, especially on signal processing. It is one of the top-10 algorithms in the twentieth century. [ 2 ] However, with the advent of big data era, the FFT still needs to be improved in order to save more computing power.

  8. Step detection - Wikipedia

    en.wikipedia.org/wiki/Step_detection

    Here, x i for i = 1, ...., N is the discrete-time input signal of length N, and m i is the signal output from the algorithm. The goal is to minimize H [ m ] with respect to the output signal m . The form of the function Λ {\displaystyle \scriptstyle \Lambda } determines the particular algorithm.

  9. Amplitude-shift keying - Wikipedia

    en.wikipedia.org/wiki/Amplitude-shift_keying

    Amplitude-shift keying (ASK) is a form of amplitude modulation that represents digital data as variations in the amplitude of a carrier wave. [1] In an ASK system, a symbol, representing one or more bits, is sent by transmitting a fixed-amplitude carrier wave at a fixed frequency for a specific time duration.