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Related lectures (32)

Page 3 of 4

Digital Filtering Fundamentals

Introduces fundamental notions in digital filtering, covering 2D filtering approaches, linear filters, stability, FIR and IIR filters, frequency domain filtering, and Gaussian filters.

Image Processing Techniques

Covers image processing techniques including noise addition, filtering, and image enhancement using various filters and tools.

Wireless Receivers: Time and Phase Offset Compensation

Covers the impact of time and phase offset in wireless receivers and discusses compensation techniques.

Analog Filters: General

Explores analog filters, linear phase filters, rational transfer functions, and filter design compromises.

Signals & Systems II: Frequency Response and Group Propagation Time

Explores frequency response, group propagation time, and linear phase filters in signals & systems.

Linear Phase Filters: Theory and Design

Explores the theory and design of linear phase filters, emphasizing the importance of achieving optimal filter performance.

Signal Processing: Noise Filtering and Signal Estimation

Explores noise filtering, signal estimation, and signal-to-noise ratio optimization through Wiener-Khintchine theorem and power spectral density.

State Space Models: Expressivity and Transformers

Covers state space models and their expressivity compared to transformers, focusing on attention mechanisms and computational efficiency.

Kalman Filter: Time Series

Covers structural modeling, state space models, and the Kalman filter in time series analysis.

Time Series: Structural Modelling and Kalman Filter

Covers structural modelling, Kalman Filter, stationarity, estimation methods, forecasting, and ARCH models in time series.