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  2. Constant false alarm rate - Wikipedia

    en.wikipedia.org/wiki/Constant_false_alarm_rate

    However, in most fielded systems, unwanted clutter and interference sources mean that the noise level changes both spatially and temporally. In this case, a changing threshold can be used, where the threshold level is raised and lowered to maintain a constant probability of false alarm. This is known as constant false alarm rate (CFAR) detection.

  3. Detection error tradeoff - Wikipedia

    en.wikipedia.org/wiki/Detection_error_tradeoff

    The normal deviate mapping (or normal quantile function, or inverse normal cumulative distribution) is given by the probit function, so that the horizontal axis is x = probit(P fa) and the vertical is y = probit(P fr), where P fa and P fr are the false-accept and false-reject rates.

  4. Majority function - Wikipedia

    en.wikipedia.org/wiki/Majority_function

    In Boolean logic, the majority function (also called the median operator) is the Boolean function that evaluates to false when half or more arguments are false and true otherwise, i.e. the value of the function equals the value of the majority of the inputs.

  5. Regula falsi - Wikipedia

    en.wikipedia.org/wiki/Regula_falsi

    The method of false position provides an exact solution for linear functions, but more direct algebraic techniques have supplanted its use for these functions. However, in numerical analysis , double false position became a root-finding algorithm used in iterative numerical approximation techniques.

  6. Oriented FAST and rotated BRIEF - Wikipedia

    en.wikipedia.org/wiki/Oriented_FAST_and_rotated...

    Oriented FAST and rotated BRIEF (ORB) is a fast robust local feature detector, first presented by Ethan Rublee et al. in 2011, [1] that can be used in computer vision tasks like object recognition or 3D reconstruction.

  7. Harris affine region detector - Wikipedia

    en.wikipedia.org/wiki/Harris_affine_region_detector

    In the fields of computer vision and image analysis, the Harris affine region detector belongs to the category of feature detection.Feature detection is a preprocessing step of several algorithms that rely on identifying characteristic points or interest points so to make correspondences between images, recognize textures, categorize objects or build panoramas.

  8. MATLAB - Wikipedia

    en.wikipedia.org/wiki/MATLAB

    MATLAB (an abbreviation of "MATrix LABoratory" [22]) is a proprietary multi-paradigm programming language and numeric computing environment developed by MathWorks.MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages.

  9. Phase detector characteristic - Wikipedia

    en.wikipedia.org/wiki/Phase_detector_characteristic

    A phase detector characteristic is a function of phase difference describing the output of the phase detector. For the analysis of Phase detector it is usually considered the models of PD in signal (time) domain and phase-frequency domain. [ 1 ]