Lectures related to Reducing the number of parameters: Outer-product representation

Explores indicial notation, vectors, and the transformation law in the context of mass flux density.

Explores the vector representation of signals, orthogonal functions, and Fourier series.

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

Active Filters: Second-order and High-order Realizations

Covers the design and implementation of active filters, focusing on second-order and high-order realizations.

Filters Fundamentals: Chebyshev Polynomials and Filter Design

Covers Chebyshev polynomials, all-pole filter design, RLC filters, and active-RC and OTA-C filter implementations.

Matrix Multiplication: Basics and Properties

Covers the basics of matrix multiplication, including properties and examples.

Image Filtering: Basics and Techniques

Explores image filtering techniques, including linear and nonlinear filters, for artifact removal and feature enhancement.