Lectures related to FIR design: optimal minimax

Analog Filters: General

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

RIF Filters: Characteristics and Synthesis

Explores the characteristics and synthesis of RIF filters, including windowing operations and linear phase filters.

Signal Processing and Embedded Systems

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

Digital Filters: Structure and Implementation

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

Linear Phase Filters: Theory and Design

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

Digital Signal Processing: Filters RII - Part 2

Explores aliasing, sampling, equivalence of analog and digital signals, and digital filter design.

Filter Structures: Part 2

Explores the geometric interpretation of filter responses and the challenges of achieving causal filters in real-time signal processing.

Finite Impulse Response Filters: Part 2

Explores the design of Finite Impulse Response filters and the optimization methods for control in signal processing.

Frequency Response Analysis: Linear Systems and Filters

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

Digital Filters: Implementation and Analysis

Explores digital filters' implementation, cyclic convolution, FFT-based filtering, and the importance of filtering in signal processing.

Signals, Instruments, and Systems: System Properties and Transforms

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

Active Filters: Second-order and High-order Realizations

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

Analog Filters: General Synthesis and Transfer Functions

Explores analog filters, rational transfer functions, and stability analysis of causal systems.

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.

Feedback Amplifiers: Stability Analysis

Covers stability analysis of feedback amplifiers and Butterworth and Chebyshev filter design.

Signal Processing Fundamentals

Covers the basics of signal processing, including auto covariance function, power spectral density, and filter design.

Filter specifications: Design Methods

Discusses filter design requirements, practical limitations, pros and cons of IIR and FIR filters, and established design methods.

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 I: Filter Design and Boundary Conditions

Explores filter design, boundary conditions, Fourier-domain filtering, and useful smoothing filters for image processing.

Digital Filters: Frequency Response Approximation

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