Band-stop filter

Applied sciences
Information engineering
Signal processing
Filtering theory

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Related lectures (32)

Page 3 of 4

Signal Acquisition: Stochastic Modeling

Introduces signal acquisition, GMWM for sensor calibration, and the importance of accurate parameter matching.

Observers: Convergence Mechanism

Explores the convergence mechanism in observers, emphasizing noise elimination and filter design.

Filters: Frequency Selective

Covers frequency selective filters, focusing on a simple low-pass filter example and its practical applications.

Lens Design: Implementing Filters and Lens Functionality

Explores lens design, high-pass filters, and image line detection using MATLAB.

Rayleigh Waves: Properties and Applications

Covers the properties and applications of Rayleigh waves, including equations of motion, dispersion, and power flow.

Reconstruction: Sampling Theorem Conclusion

Explores the fundamental concept of reconstructing signals through sampling, emphasizing the importance of applying a low-pass filter before sampling.

Operational Amplifier: Frequency-Dependent Gain Amplifier

Covers the frequency-dependent gain amplifier and 1st order low-pass active filter.

Signal Analysis and Filter Design

Explores signal analysis, FFT, filters, and power spectral density in signal processing.

Raw sampling: FS-Band-Limited functions

Discusses raw sampling of FS-Band-Limited functions and its limitations.

Frequency Sampling

Explores the frequency sampling method to approximate ideal filters, useful for quick prototyping but lacking fine control over errors.