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  2. Two-ray ground-reflection model - Wikipedia

    en.wikipedia.org/.../Two-ray_ground-reflection_model

    where is the large-scale (log-normal) fading, is a reference distance at which the path loss is , is the path loss exponent; typically =. [ 1 ] [ 2 ] This model is particularly well-suited for measurements, whereby P L 0 {\displaystyle PL_{0}} and ν {\displaystyle \nu } are determined experimentally; d 0 {\displaystyle d_{0}} is selected for ...

  3. Log-distance path loss model - Wikipedia

    en.wikipedia.org/wiki/Log-distance_path_loss_model

    The log-distance path loss model is a radio propagation model that predicts the path loss a signal encounters inside a building or densely populated areas over long distance. While the log-distance model is suitable for longer distances, the short-distance path loss model is often used for indoor environments or very short outdoor distances.

  4. Point-to-point Lee model - Wikipedia

    en.wikipedia.org/wiki/Point-to-point_Lee_model

    The Lee model for point-to-point mode is a radio propagation model that operates around 900 MHz. Built as two different modes, this model includes an adjustment factor that can be adjusted to make the model more flexible to different regions of propagation.

  5. Free-space path loss - Wikipedia

    en.wikipedia.org/wiki/Free-space_path_loss

    In telecommunications, the free-space path loss (FSPL) (also known as free-space loss, FSL) is the attenuation of radio energy between the feedpoints of two antennas that results from the combination of the receiving antenna's capture area plus the obstacle-free, line-of-sight (LoS) path through free space (usually air). [1]

  6. Nakagami distribution - Wikipedia

    en.wikipedia.org/wiki/Nakagami_distribution

    The Nakagami distribution is relatively new, being first proposed in 1960 by Minoru Nakagami as a mathematical model for small-scale fading in long-distance high-frequency radio wave propagation. [4] It has been used to model attenuation of wireless signals traversing multiple paths [5] and to study the impact of fading channels on wireless ...

  7. Belief propagation - Wikipedia

    en.wikipedia.org/wiki/Belief_propagation

    Belief propagation, also known as sum–product message passing, is a message-passing algorithm for performing inference on graphical models, such as Bayesian networks and Markov random fields. It calculates the marginal distribution for each unobserved node (or variable), conditional on any observed nodes (or variables).

  8. Okumura model - Wikipedia

    en.wikipedia.org/wiki/Okumura_Model

    The Okumura model is a radio propagation model that was built using data collected in the city of Tokyo, Japan. The model is ideal for using in cities with many urban structures but not many tall blocking structures. The model served as a base for the Hata model. The Okumura model was built into three modes: for urban, suburban and open areas ...

  9. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Large collection of webpages and how they are connected via hyperlinks None. 3.5B Text clustering, classification 2013 [443] V. Granville Internet Advertisements Dataset Dataset for predicting if a given image is an advertisement or not. Features encode geometry of ads and phrases occurring in the URL. 3279 Text Classification 1998 [444] [445]