9.2.1: Discrete-Time Signal Processing — Read

From LibreTexts, under CC BY-NC 4.0, as the source states it; its equations are written in TeX, which the PDF shows typeset. This page at LibreTexts.

9.2.1.1: Introduction to Digital Signal Processing
This page discusses the differences between analog and digital signals, underscoring how digital signal processing (DSP) incorporates analog techniques while providing benefits such as faster computations and programmability through computers. It highlights DSP's flexibility and applications in various fields, particularly in medicine and scientific analysis, with an example of analyzing sunspot data to identify cyclical patterns using power spectral density.
9.2.1.2: The Sampling Theorem
9.2.1.3: Amplitude Quantization
9.2.1.4: Discrete -Time Signals and Systems

Thumbnail: The continuous wavelet transform of a signal can be calculated by convolving the signal with a kernel whose argument is rescaled. (Public Domain; Jacopo Bertolotti via Wikipedia)

9.2.1: Discrete-Time Signal Processing is shared under a CC BY-NC 4.0 license and was authored, remixed, and/or curated by LibreTexts.

Contents

Text