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In MATLAB, the kalmanfilter function predicts the position of a moving object based on its past values. It uses a Kalman filter estimator, a recursive adaptive filter that estimates the state of a dynamic system from a series of noisy measurements. Kalman filtering has a broad range of application in areas such as signal and image processing, control design, and computational finance. To generate efficient standalone code for MATLAB® classes, you must use classes differently than when running your code in the MATLAB environment. In MATLAB, classes can define their own versions of the subsref, subsassign, and subsindex methods. Code generation does not support classes that have their own definitions of these methods. We can generate code for entry-point MATLAB unctions that use classes, but you cannot generate code directly for a MATLAB class.
引用
BLAISE KEVINE (2026). New implemented function C++ generation code (https://jp.mathworks.com/matlabcentral/fileexchange/172074-new-implemented-function-c-generation-code), MATLAB Central File Exchange. に取得済み.
| バージョン | 公開済み | リリース ノート | Action |
|---|---|---|---|
| 1.0.0 |
