Concept
Kalman filter
Related lectures (106)
Fourier Transform and Convolution Product in Signal Processing
Explores the Fourier transform, convolution product, and their applications in signal processing.
Recommender Systems: Overview and Methods
Explores the evolution of recommenders, collaborative filtering, Netflix Prize, model training, and optimization techniques.
Image Processing I: Filter Design and Boundary Conditions
Explores filter design, boundary conditions, Fourier-domain filtering, and useful smoothing filters for image processing.
Steady-state Kalman Predictor: Examples and Comparison
Discusses the steady-state Kalman predictor, provides examples, and compares Luenberger and Kalman filtering.
Statistical Signal Processing for Wireless Communications
Introduces statistical signal processing tools for wireless communications, emphasizing practical applications and hands-on experience with Python or Matlab.
Signal Processing: Linear Filters and Estimation
Covers applying concepts to build linear filters and perform estimation.
Directional Image Analysis and Processing
Delves into the mathematical foundations and importance of directional cues in image processing, exploring computational challenges and selectivity to orientation.
Textures: Mapping and Interpolation
Explains applying 2D images onto 3D geometry for visual detail.
Active Map Building: Exploration
Explores the basics of Simultaneous Localization and Mapping (SLAM), focusing on map creation techniques and prediction of measurements.
Time Series: Spectral Analysis and Linear Filtering
Explores spectral analysis, aliasing, and linear filtering in time series data.