This document provides an outline and overview of a group presentation on analog to digital and digital to analog conversion processes. The presentation covers topics including signal sampling, quantization, coding, digital signal processing, and MATLAB implementations. It describes analog to digital conversion as involving sampling, quantizing, and coding continuous signals at discrete time intervals, and digital to analog conversion as using a zero-order hold and reconstruction filter to convert a digital signal back to analog form.

1. Information Network Security Administration
Intelligence Technology Excellence Division
Signal Analysis Team
October, 2022
Group Task Presentation on:
Analog to Digital and Digital to Analog Conversion
Processes

2. Outline
 Signal Sampling
 Quantization
 Coding
 Digital Signal Processing
 Digital to Analog Conversion
 MATLAB Implementations

3. Signal processing
The objective of signal processing is to extract the useful information carried by the
signal
Analog Signal Processing (ASP)
Digital Signal Processing (DSP)
1

4. Analog-to-Digital Conversion Process
2
Sampling Quantizing Coding
Recording the continuous
signal at discrete instant of
times.
Represent each levels of
sampled points to a fixed
finite set (levels)
Mapping the discrete levels
of quantized levels to a
codeword.

5. Digital-to-Analog Conversion Processes
3
Digital
Signal
Zero-order
Hold
Sampler
Re-
constructing
Filter

6. THANK YOU!