Systems which are capable of processing a continuous range of values varying with respect to time are called analog systems. In analog representation a quantity is represented by a voltage, current, or meter movement that is proportional to the value of that quantity. Analog quantities such as those cited above have an important characteristic: they can vary over a continuous range of values.
The Systems which process discrete values are called digital systems. In digital representation the quantities are represented not by proportional quantities but by symbols called digits. As an example, consider the digital watch, which provides the time of the day in the form of decimal digits representing hours and minutes (and sometimes seconds). As we know, time of day changes continuously, but the digital watch reading does not change continuously; rather, it changes in steps of one per minute (or per second). In other words, time of day digital representation changes in discrete steps, as compared to the representation of time provided by an analog watch, where the dial reading changes continuously. | |||
The major difference between analog and digital quantities, then, can be stated simply as follows:
- Analog = continuous
- Digital = discrete (step by step)
- Easier to design. Exact values of voltage or current are not important, only the range (HIGH or LOW) in which they fall.
- Information storage is easy.
- Accuracy and precision are greater.
- Operations can be programmed. Analog systems can also be programmed, but the available operations variety and complexity is severely limited.
- Digital circuits are less affected by noise, as long as the noise is not large enough to prevent us from distinguishing HIGH from LOW (we discuss this in detail in an advanced digital tutorial section).
- More digital circuitry can be fabricated on IC chips.
Most physical quantities in real world are analog in nature, and these quantities are often the inputs and outputs that are being monitored, operated on, and controlled by a system. Thus conversion to digital format and re-conversion to analog format is needed.
Numbering System
- Decimal
- Binary
- Octal
- Hexadecimal
The decimal system is composed of 10 numerals or symbols. These 10 symbols are 0, 1, 2, 3, 4, 5, 6, 7, 8, 9. Using these symbols as digits of a number, we can express any quantity. The decimal system is also called the base-10 system because it has 10 digits.
103 | 102 | 101 | 100 | | 10-1 | 10-2 | 10-3 |
=1000 | =100 | =10 | =1 | . | =0.1 | =0.01 | =0.001 |
Most Significant Digit | | | | Decimal point | | | Least Significant Digit |
Even though the decimal system has only 10 symbols, any number of any magnitude can be expressed by using our system of positional weighting.
Decimal Examples
- 3.1410
- 5210
- 102410
- 6400010
In the binary system, there are only two symbols or possible digit values, 0 and 1. This base-2 system can be used to represent any quantity that can be represented in decimal or other base system.
23 | 22 | 21 | 20 | | 2-1 | 2-2 | 2-3 |
=8 | =4 | =2 | =1 | . | =0.5 | =0.25 | =0.125 |
Most Significant Digit | | | | Binary point | | | Least Significant Digit |
Binary Counting
The Binary counting sequence is shown in the table:
23 | 22 | 21 | 20 | Decimal |
0 | 0 | 0 | 0 | 0 |
0 | 0 | 0 | 1 | 1 |
0 | 0 | 1 | 0 | 2 |
0 | 0 | 1 | 1 | 3 |
0 | 1 | 0 | 0 | 4 |
0 | 1 | 0 | 1 | 5 |
0 | 1 | 1 | 0 | 6 |
0 | 1 | 1 | 1 | 7 |
1 | 0 | 0 | 0 | 8 |
1 | 0 | 0 | 1 | 9 |
1 | 0 | 1 | 0 | 10 |
1 | 0 | 1 | 1 | 11 |
1 | 1 | 0 | 0 | 12 |
1 | 1 | 0 | 1 | 13 |
1 | 1 | 1 | 0 | 14 |
1 | 1 | 1 | 1 | 15 |
Representing Binary Quantities
In digital systems the information that is being processed is usually presented in binary form. Binary quantities can be represented by any device that has only two operating states or possible conditions. E.g.. a switch is only open or closed. We arbitrarily (as we define them) let an open switch represent binary 0 and a closed switch represent binary 1. Thus we can represent any binary number by using series of switches.
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