The Moving Average block computes the moving average of the input signal along each channel independently over time. The block uses the sliding window method or the exponential weighting method to compute the moving average. In the sliding window method, a window of specified length moves over the...
and the block computes the variance over the data in the window. In the exponential weighting method, the block subtracts each sample of the data from the average, squares the difference, and multiplies the squared result by a weighting factor. The block then computes the variance by adding ...
Consider an example of computing the stationary average of streaming input data using theMeanblock in Simulink. TheMeanblock is configured to find the mean value over each column. At each time step, the algorithm computes the average over the entire data that is available in the current time ...
We report an experience in modelling a satellite-based ERTMS L3 moving block signalling system from the railway industry with Simulink and Uppaal and analysing the Uppaal model with Uppaal SMC. The lessons learned range from demonstrating the feasibility of applying Uppaal SMC in a moving block ...
Block Characteristics Data Types double | single Multidimensional Signals No Variable-Size Signals Yes Algorithms expand all Sliding Window Method Exponential Weighting Method Extended Capabilities C/C++ Code Generation Generate C and C++ code using Simulink® Coder™. Version HistoryIntroduced in R2016...
Block Characteristics Data Types double | single Multidimensional Signals No Variable-Size Signals Yes Algorithms expand all Sliding Window Method Exponential Weighting Method Extended Capabilities C/C++ Code Generation Generate C and C++ code using Simulink® Coder™. Version HistoryIntroduced in R2016...
Block Characteristics Data Types double | single Multidimensional Signals No Variable-Size Signals Yes Algorithms expand all Sliding Window Method Exponential Weighting Method Extended Capabilities C/C++ Code Generation Generate C and C++ code using Simulink® Coder™. Version HistoryIntroduced in R2016...
The Moving Standard Deviation block computes the moving standard deviation of the input signal along each channel independently over time. The block uses either the sliding window method or the exponential weighting method to compute the moving standard deviation. In the sliding window method, a windo...
Block Characteristics Data Types double | single Multidimensional Signals No Variable-Size Signals Yes Algorithms expand all Sliding Window Method Exponential Weighting Method Extended Capabilities C/C++ Code Generation Generate C and C++ code using Simulink® Coder™. Version HistoryIntroduced in R2016...
Generate C and C++ code using Simulink® Coder™. Version HistoryIntroduced in R2016b expand all R2024a: Change in the default value of Simulate using parameter See Also Blocks Minimum | Moving Maximum | Moving Average | Moving RMS | Moving Standard Deviation | Moving Variance | Median Filt...