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Noun

threshold function - a function that takes the value 1 if a specified function of the arguments exceeds a given threshold and 0 otherwise

function, mapping, mathematical function, single-valued function, map - (mathematics) a mathematical relation such that each element of a given set (the domain of the function) is associated with an element of another set (the range of the function)

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References in periodicals archive

Image decomposition can be done by using 2D wavelet transform to obtain the wavelet coefficients; then, the threshold function is adopted to compress the wavelet coefficients, and the denoised wavelet coefficients can be achieved.

Multiframe Ultrasonic TOFD Weld Inspection Imaging Based on Wavelet Transform and Image Registration

A threshold function can be implemented in the same way as any logic function, i.e., as a network of logic primitives nFETs.

Design of an area efficient standard cell using threshold logic NNOR cell

Kim, "Image denoising based on improved wavelet threshold function for wireless camera networks and transmissions," International Journal of Distributed Sensor Networks, vol.

Wavelet Denoising of Vehicle Platform Vibration Signal Based on Threshold Neural Network

The threshold function depends on the energy of adjacent pixels.

Color Image Denoising Based on Guided Filter and Adaptive Wavelet Threshold

In other words, a threshold function is built to every parameter so as to improve the accuracy of pedestrian counting.

Pedestrian detection and tracking for counting applications in metro station

The second includes the new ability of systems to be characterized by a system contrast threshold function just like the human eye, and a new target task performance metric that can provide more accurate performance predictions than the previous limiting frequency methods.

Introduction to infrared and electro-optical systems, 2d ed

What the tables (2) and (3) can be concluded that the model trained with the first input pattern with 14 provinces sigmoid for the input parameters (1-5-14) means 14 input neurons, 5 hidden neurons and Way that the results of the model trained with a threshold function tangent hyperbolic Has created a better and less error, the predicted peak discharge operation is successful.

Comparison of Artificial Neural Networks ANN and statistica in daily flow forecasting