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Today, we're diving into the various number systems used in digital computers. Can anyone tell me what a number system is?
Isn't it a way of representing numbers using different bases?
Exactly! We have several types of number systems based on their radix. For example, the decimal system is base 10. Let's consider 75 in decimal to understand.
How do you break down the number 75?
Great question! We evaluate it as 7 times 10 raised to the power of 1 plus 5 times 10 raised to the power of 0. Remember this evaluation process, it's crucial!
I see! So, it’s like working with place value?
Exactly, the place value is essential for understanding all number systems. Keep this in mind as we explore binary next!
Now, let’s move to the binary system. This system uses only two digits: 0 and 1. Can anyone tell me what 75 looks like in binary?
Isn’t it 1001011?
Right! And how would you convert it back to decimal?
We evaluate it using powers of 2, right?
Perfect! For binary 1001011, we would calculate: 1×2⁶ + 0×2⁵ + 0×2⁴ + 1×2³ + 0×2² + 1×2¹ + 1×2⁰, which equals 75.
This looks a lot like the decimal breakdown!
Exactly! Recognizing patterns between systems helps a lot!
Let's take a brief look at octal and hexadecimal systems. Who can tell me what an octal system is?
Is it base 8? It uses digits 0-7?
Exactly! And how about the hexadecimal system?
That's base 16 and includes A to F for 10 to 15.
Right! These systems come in handy in programming, particularly in representing binary data more concisely.
What would be a simple conversion for hexadecimal to decimal?
For example, D12 in hexadecimal converts to decimal as 13×16² + 1×16¹ + 2×16⁰.
Next, we’ll discuss significant bits. Can anyone define what MSB and LSB stand for?
MSB is the most significant bit, and LSB is the least significant bit!
Correct! In 1001011, which bit is the MSB?
That's the left-most '1'.
Exactly! And why is the position significant?
Because the MSB represents the largest value in the binary representation as its position is higher.
Well done! Always remember the significance changes with position.
Lastly, let’s discuss how the bit size of an integer impacts its representation. What do we mean by 8-bit representation?
That means using 8 bits to define the integer, right?
Yes! What range can we represent with 8 bits?
From 0 to 255!
Exactly! And as we use more bits, how does that change?
The range increases, right? Like for 16 bits, it goes up to 65,535.
Correct! It's essential to know these ranges when choosing data types in programming.
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In this section, we learn about different number systems and their radix, including how to convert numbers between systems. Key terms like most significant bit (MSB) and least significant bit (LSB) are discussed, along with integer representation methods and the implications of bit size on value ranges.
This section focuses on the representation of numbers in digital computers, primarily concentrating on various number systems like decimal, binary, octal, and hexadecimal. The baseline of these systems varies as it is determined by their radix (base).
Understanding these concepts is crucial for working with digital computers and data processing. The representation of characters and real numbers also ties back into these foundational topics.
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So, now when we are going to talk about a number system we are having two terms called least significant bit and most significant bit MSB and LSB this is basically when we are going to talk about the bit it basically talks about the binary number system we are going to take single bit. But for any radix system we can say it is a most significant digit and least significant digit. As for example, in your 113 in base 8, 3 is the least significant digit and 1 is the most significant digit in this particular case because you just see that this 1 is multiplied by 82. So, weightage is more and these 3 is multiplied by 80 which is one. So, weightage is less, so in that case we having that least significant digit as 3 and most significant digit as 1 for 113 in octal number system. Similarly when we are going to talk about the binary number system we say it is least significant bit and most significant bit.
In any number system, the significance of a digit changes based on its position. The Most Significant Bit (MSB) is the leftmost bit, indicating the largest value, while the Least Significant Bit (LSB) is the rightmost bit, contributing the least to the overall value. For example, in binary, the number '1001' has '1' as the MSB and '1' as the LSB. This shows that '1001' is valued as 8 + 0 + 0 + 1, which equals 9 in decimal. Understanding MSB and LSB is crucial for interpreting binary values correctly, as they can affect calculations in digital computing.
Think of a bank vault where the most significant coins are placed on the top shelf (MSB), while the least significant coins are kept on the bottom shelf (LSB). The top shelf represents higher value coins, similar to how the MSB contributes more to the overall binary value. Now, if you were to count coins from the bottom shelf to the top, you'd first note down the least valuable coins (LSB) before the more valuable ones (MSB), but the total value would depend primarily on the top shelf.
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Now, how many numbers or how many symbols we require for a particular number system. So, it is basically related to the base of the number system. So, if we are using a decimal number system decimal number system in that case base is 10. So, to represent these things we need 10 different symbol and we know that those symbol we are using 0 1 2 3 like up to 9 we are using. So, these are the 10 different symbol that we are using in decimal number system. So, in case of binary number system since base is 2 we need only 2 symbols and that 2 symbols that we are using in binary number system is your 0 and 1. So, the binary number is represented with the help of 0s and 1 only.
Every number system has a base that determines how many symbols or digits it uses. In the decimal number system (base 10), there are ten digits: 0, 1, 2, 3, 4, 5, 6, 7, 8, and 9. Similarly, the binary system (base 2) only requires two symbols: 0 and 1. These symbols are critical as they form the foundation for number representation in their respective systems. For larger bases, such as octal (base 8), we would need eight symbols (0-7), and for hexadecimal (base 16), we have sixteen symbols (0-9 and A-F). Each increase in base provides greater flexibility and range in representation.
Imagine a color palette. In a basic palette, you may have only two colors - black and white - representing the binary system. As the palette expands to ten colors, akin to the decimal system, you can create more complex designs. Similarly, using a larger number system allows you to create richer and more diverse numerical representations.
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Like that we are having different radix system and as for example, I am giving another base system which is your 8 base is 8. So, now if you consider this 75 in decimal number system that equivalent octal number system, so base 8 number system is known as your octal number system it is 113 so that means, 1 × 82 + 1 × 81 + 3 × 80. So, 8 square is 64 + 8 = 72 + 3 =75. So, this is the way we can have a conversion from one number system to another number system.
Conversion between number systems involves transforming a number from one base (or radix) to another. For instance, to convert the decimal number 75 to octal (base 8), you can break it down into components based on the powers of 8. The calculation would show that 1×(8²) + 1×(8¹) + 3×(8⁰) equals 113 in octal. This method can be used for any number system by understanding the significance of the base and correctly applying the rules for conversion.
Think of translating a book from one language to another. Each word in the original language has a corresponding word in the new language, similar to how digits in one base relate to digits in another base. When you convert numbers, you're essentially translating numerical values to make them understandable in the context of a different numeral system.
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if I am using a 12 bit numbers now my range is going to increase like that if I am going for 32 bit numbers; that means, we are going to work with 32 bits at a time. So, nowadays we used to say that my computer my processor is a 32 bit processor; that means, I can work with a 32 bit numbers.
The range of values that can be represented in a numerical system is closely tied to the number of bits used. For example, using 8 bits allows for a range of numbers from 0 to 255, while 12 bits increase that limit significantly to 0 to 4095, and 32 bits extend it even further, accommodating much larger values. Understanding this range is essential, especially when working with computers, as it informs how much data can be processed at one time.
Imagine a box of different sized containers. An 8-bit container can hold a limited number of items, similar to how it can represent numbers only up to 255. However, as you switch to a 12-bit container or larger, the capacity increases significantly, now able to store far more items or represent much larger numbers. This illustrates how the bit size impacts the range of values that can be managed.
Learn essential terms and foundational ideas that form the basis of the topic.
Key Concepts
Number Systems: Systems for representing numbers, where the base (or radix) defines the range of digits used.
Binary Equivalent: The representation of decimal numbers in binary, calculated based on powers of two.
Octal and Hexadecimal: Number systems with bases 8 and 16 that simplify binary representation.
Most Significant Bit (MSB): The bit position in a binary number with the highest value.
Least Significant Bit (LSB): The bit position in a binary number with the lowest value.
Bit Size and Range: The number of bits used determines the numerical range available for representation.
See how the concepts apply in real-world scenarios to understand their practical implications.
The binary equivalent of decimal 75 is '1001011'.
In the hexadecimal number system, decimal D12 equals 13×16² + 1×16¹ + 2×16⁰, converting to decimal 334.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
In binary, 1 is high, 0 is low, places matter, this you know!
Imagine a digital leader who sends out messages (binary) using 0s and 1s, where each significant bit determines the scale of his importance.
To remember MSB and LSB, think: MSB is 'Most Significant Buddy', and LSB is 'Least Significant Buddy'.
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Review the Definitions for terms.
Term: Radix
Definition:
The base of a number system, indicating how many unique digits, including zero, are used to represent numbers.
Term: Most Significant Bit (MSB)
Definition:
The bit in a binary number that has the largest place value.
Term: Least Significant Bit (LSB)
Definition:
The bit in a binary number that has the smallest place value.
Term: Binary System
Definition:
A number system that uses two symbols, typically 0 and 1, to represent values.
Term: Hexadecimal System
Definition:
A base 16 number system that includes digits 0-9 and letters A-F to represent values from 10 to 15.
Term: Octal System
Definition:
A base 8 number system that uses digits 0-7.