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  2. Simulink - Wikipedia

    en.wikipedia.org/wiki/Simulink

    Simulink is a MATLAB-based graphical programming environment for modeling, simulating and analyzing multidomain dynamical systems. Its primary interface is a graphical block diagramming tool and a customizable set of block libraries .

  3. Virtual concatenation - Wikipedia

    en.wikipedia.org/wiki/Virtual_concatenation

    Virtual concatenation (VCAT) is an inverse multiplexing technique creating a large capacity payload container distributed over multiple smaller capacity TDM signals. These signals may be transported or routed independently. Virtual concatenation has been defined for SONET/SDH, OTN and PDH path signals.

  4. Multiplexer - Wikipedia

    en.wikipedia.org/wiki/Multiplexer

    In electronics, a multiplexer (or mux; spelled sometimes as multiplexor), also known as a data selector, is a device that selects between several analog or digital input signals and forwards the selected input to a single output line. [1] The selection is directed by a separate set of digital inputs known as select lines.

  5. MATLAB - Wikipedia

    en.wikipedia.org/wiki/MATLAB

    MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages. Although MATLAB is intended primarily for numeric computing, an optional toolbox uses the MuPAD symbolic engine allowing access to symbolic computing abilities.

  6. MathWorks - Wikipedia

    en.wikipedia.org/wiki/MathWorks

    The company's two lead products are MATLAB, which provides an environment for scientists, engineers and programmers to analyze and visualize data and develop algorithms, and Simulink, a graphical and simulation environment for model-based design of dynamic systems.

  7. Vectorization (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Vectorization_(mathematics)

    In Matlab/GNU Octave a matrix A can be vectorized by A(:). GNU Octave also allows vectorization and half-vectorization with vec(A) and vech(A) respectively. Julia has the vec(A) function as well. In Python NumPy arrays implement the flatten method, [note 1] while in R the desired effect can be achieved via the c() or as.vector() functions.

  8. Michael Bolton wishes for 'health, happiness' in 2025, 1 year ...

    www.aol.com/michael-bolton-wishes-health...

    Michael Bolton and his family were in good spirits over the holidays, one year after his brain tumor diagnosis.. The Grammy-winning singer shared a photo of himself in a Santa hat on his Facebook ...

  9. Inverse multiplexer - Wikipedia

    en.wikipedia.org/wiki/Inverse_multiplexer

    This provides an end to end connection of several times the data rate available on each of the low rate data links. Note that, as with multiplexers, links are often used in bi-directional pairs and, at either end of the link, an inverse multiplexer will be combined with its reverse (an inverse demultiplexer) and still be called an inverse MUX.