Misty the Cat helps to explain the benefit of using an Adaptive Step Size while learning. The Recursive Prediction Error (RPE) parameter estimation algorithm is used as an example to explain the concept in more detail.
Related videos: (see [ Ссылка ])
• What is the Kalman Filter? [ Ссылка ]
• What is Least Squares Estimation? [ Ссылка ]
• What are Digital Filtering and Prediction? [ Ссылка ]
• What is a Random Variable? [ Ссылка ]
• What is a Probability Density Function (pdf)? [ Ссылка ]
• What is a Cumulative Distribution Function (CDF) of a Random Variable? [ Ссылка ]
• What is a Moment Generating Function (MGF)? [ Ссылка ]
• What is a Random Process? [ Ссылка ]
• Expectation of a Random Variable Equation Explained [ Ссылка ]
• What is a Gaussian Distribution? [ Ссылка ]
For a full list of Videos and Summary Sheets, goto: [ Ссылка ]

свернуть