1. Analog to Digital Converter
Meredith Matteson1 Mentor: Aysha Shanta 2
1 Lenoir City High School
2 The University of Tennessee, Knoxville
INTRODUCTION
APPLICATIONS
Analog to digital conversion (ADC) is the process of taking a continuous analog signal and creating a digital signal with a definite number of data points.
The process is essential for the use of cheaper and more dependable digital technology [1].
ADC is commonly used in:
Cellphones
Computers
Televisions
Radios
Cameras
Video Recorders
[2]
Continuous analog signal and the digital signal with points located on the original analog signal
THE THREE STEP PROCESS
3. CODING
SAMPLING
2. QUANTIZATION
Process of collecting only some of the data at regular intervals
[1]
All digital processes recognize only ones and zeros
The purpose of coding in ADC is to take the level indices in the quantization step and assigning binary values to it
The signal is ready to be sent over the communication channel.
Digital devices only allow certain Y values depending on the number of bits
Quantization is the process of taking the value of the sample on the Y - axis and reassigning it to one of the predetermined levels.
Sampling rate affects the ability to reconstruct the signal. Too few points means that the reconstructed signal will not be accurate.
THE PROJECT
The final digital audio signal after performing 4 bit quantization on the sampled signal
The audio signal sampled at 8 kHz.
The original audio signal of a person saying, “Hello. My name is Meredith.”
CONCLUSION
ADC is the process of simplifying data so that it can be transmitted over the communication channel and processed at the receiving end using more dependable and cheaper digital devices.
References:[1] Proakis J.G. and Manolakis D. G. (1996). “Digital Signal Processing: Principles, Algorithms, and Application”, New Jersey: Prentice-Hall, Inc. [2] 007 Signal Path Series. (2013). Retrieved July 15, 2016, from Experiment 01: Sampling and Quantization of signals using MATLAB,BRAC University, Dhaka, Bangladesh
This work was supported primarily by the ERC Program
of the National Science Foundation and DOE under NSF Award Number EEC