Lectures related to Image Processing I

Introduces digital filtering, convolution, separability, and recursive filtering in image processing.

Covers signal processing with digital filters and embedded systems, focusing on practical applications.

Digital Filtering: Butterworth Filter Design

Explores digital Butterworth filter design, covering scaling, stable poles, and filter application.

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

Numerical Control of Dynamic Systems

Covers topics like digital filtering, stability, and discrete systems, including experiments and manipulations.

Frequency Response Analysis: Linear Systems and Filters

Covers the frequency response of linear systems and filter design principles.

Digital Filters: RII Filters - Part 2

Covers digital RII filters, elliptical and Chebyshev filters, frequency transformations, and filter realization.

Digital Filters: Structure and Implementation

Explores digital filters, their implementation, characteristics, and realizations, with examples for illustration.

Active Filters: Second-order and High-order Realizations

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

Image Processing I: Filters and Transformations

Explores moving average and exponential filters, Gaussian filtering, and linear scale-space concepts in image processing.

Image Processing I: Ordered Dithering and Fourier Transform

Explores ordered dithering and Fourier transform in image processing.

Convolutional Neural Networks

Covers convolutional neural networks, filter operations, and their applications in signal processing and image analysis.

Digital Filters: RII Filters - Part 2

Explores RII filters, analog-to-digital filter conversion, stability, and filter construction.

Digital Filters: Structure and Implementation

Covers the structure and implementation of digital filters.

Digital Filters Synthesis: Bilinear Transformation and Frequency Response

Explores the synthesis of digital filters from analog filters using the bilinear transformation method and Chebyshev's criterion.

Digital Filters: Frequency Response Approximation

Explores digital filter synthesis, emphasizing frequency response approximation and pole-zero placement.

Filters Fundamentals: Chebyshev Polynomials and Filter Design

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

Noise Reduction Techniques

Explores various noise reduction techniques, including impedance matching, temperature reduction, and bandwidth reduction.

Frequency Analysis: FFT Algorithm and Digital Filters

Explores the FFT algorithm, cost analysis, and digital filters in frequency analysis.

Signals, Instruments, and Systems: System Properties and Transforms

Introduces system properties, Laplace Transform, and analog filters for signal analysis.