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  2. Least mean squares filter - Wikipedia

    en.wikipedia.org/wiki/Least_mean_squares_filter

    A white noise signal has autocorrelation matrix = where is the variance of the signal. In this case all eigenvalues are equal, and the eigenvalue spread is the minimum over all possible matrices. In this case all eigenvalues are equal, and the eigenvalue spread is the minimum over all possible matrices.

  3. Observer pattern - Wikipedia

    en.wikipedia.org/wiki/Observer_pattern

    The observer design pattern is a behavioural pattern listed among the 23 well-known "Gang of Four" design patterns that address recurring design challenges in order to design flexible and reusable object-oriented software, yielding objects that are easier to implement, change, test and reuse.

  4. Visual programming language - Wikipedia

    en.wikipedia.org/wiki/Visual_programming_language

    A simple custom block in the Snap! visual programming language, which is based on Scratch, calculating the sum of all numbers with values between a and b. In computing, a visual programming language (visual programming system, VPL, or, VPS), also known as diagrammatic programming, [1] [2] graphical programming or block coding, is a programming language that lets users create programs by ...

  5. Adaptive filter - Wikipedia

    en.wikipedia.org/wiki/Adaptive_filter

    The general idea behind Volterra LMS and Kernel LMS is to replace data samples by different nonlinear algebraic expressions. For Volterra LMS this expression is Volterra series. In Spline Adaptive Filter the model is a cascade of linear dynamic block and static non-linearity, which is approximated by splines.

  6. FAUST (programming language) - Wikipedia

    en.wikipedia.org/wiki/FAUST_(programming_language)

    Block diagrams generated by Faust from some simple programs. Most FAUST primitives are analogous to their C counterpart on numbers, but lifted to signals. For example, the FAUST primitive sin operates on a signal X by applying the C function sin to each sample X[t]. All C numerical functions have their counterpart in FAUST.

  7. Recursive least squares filter - Wikipedia

    en.wikipedia.org/wiki/Recursive_least_squares_filter

    In the forward prediction case, we have () = with the input signal () as the most up to date sample. The backward prediction case is d ( k ) = x ( k − i − 1 ) {\displaystyle d(k)=x(k-i-1)\,\!} , where i is the index of the sample in the past we want to predict, and the input signal x ( k ) {\displaystyle x(k)\,\!} is the most recent sample.

  8. LMS color space - Wikipedia

    en.wikipedia.org/wiki/LMS_color_space

    LMS (long, medium, short), is a color space which represents the response of the three types of cones of the human eye, named for their responsivity (sensitivity) peaks at long, medium, and short wavelengths.

  9. Small-signal model - Wikipedia

    en.wikipedia.org/wiki/Small-signal_model

    A small signal model consists of a small signal (having zero average value, for example a sinusoid, but any AC signal could be used) superimposed on a bias signal (or superimposed on a DC constant signal) such that the sum of the small signal plus the bias signal gives the total signal which is exactly equal to the original (large) signal to be ...