Lab versus Daily Life Monitoring

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Signal Sampling and Reconstruction

Covers signal sampling, reconstruction, aliasing, and examples of signal reconstruction using low-pass filters.

Medical Front End Standards

Explores differences in front ends for medical devices and signal processing challenges.

Sampling and Reconstruction

Covers the concepts of sampling and reconstruction in signal processing, emphasizing the importance of sampling frequency and reconstruction techniques.

Digital Signal Processing: Filters RII - Part 2

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

Sampling: Signal Reconstruction and Aliasing

Covers the importance of sampling, signal reconstruction, and aliasing in digital representation.

Gas and Particle Sensors

Explores gas and particle sensors for air quality monitoring, emphasizing low-power technologies and emerging materials.

Signal Sampling: Sampling

Explains signal sampling, the need for discrete sampling, errors, quantization, and choosing the right sampling period.

Fourier Transformation and Dirac Pulse Train

Explores Fourier transformation, Dirac pulse train, Fourier series, and periodic signal synthesis.

Finite Impulse Response Filters: Part 2

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

Sampling Theorem: Illustration

Explores the sampling theorem through sinusoid reconstruction, under-sampling effects, and signal filtering importance.