Essential Insights on Discrete-Time Signal Processing Techniques

Jan 04, 2025

80 likes | 110 Views

A comprehensive review of Sampling, CT, and DT signals, including Zero-Order Hold (ZOH), Impulse train sampling, and δ(t-nT). Understanding the spectrum of the sampled signal in different scenarios such as Ωs>2ΩN and Ωs<2ΩN is crucial in avoiding irreversible signal distortion due to aliasing. Learn about Reconstruction Filters, aliasing prevention, and the importance of sufficient sampling rates in signal processing.

randallo

Download Presentation

Essential Insights on Discrete-Time Signal Processing Techniques

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

Discrete-Time Signal Processing(A Review)
Sampling CT DT
Zero-Order Hold (ZOH)
Sampling Impulse train
Sampling δ(t-nT)
Spectrum of Sampled Signal (Ωs>2ΩN) The spectrum of the sampled signal is periodic in Ωs=2π/T.
Spectrum of Sampled Signal (Ωs<2ΩN) • Aliasing (folding) results in irreversible signal distortion. • Can only be avoided by using sufficiently high sample rate, or band- limit the input signal with a coarse, continuous-time filter – AAF.
Reconstruction Filter (Nyquist) Reconstruction filter = “smoothing” filter = “interpolation” filter