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Questions and Answers
What is the decimal value of the binary number 100 in two's complement representation?
What is the decimal value of the binary number 100 in two's complement representation?
Which of the following ranges represents the values that can be expressed using 3 bits in two's complement?
Which of the following ranges represents the values that can be expressed using 3 bits in two's complement?
What does the most significant bit in a two's complement binary number indicate?
What does the most significant bit in a two's complement binary number indicate?
What is true about the representation of zero in signed binary numbers using two's complement?
What is true about the representation of zero in signed binary numbers using two's complement?
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Which mathematical expression correctly defines the range of values in two's complement for n bits?
Which mathematical expression correctly defines the range of values in two's complement for n bits?
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What is the biased exponent for the number (0.015) 8 when represented in the given floating point format?
What is the biased exponent for the number (0.015) 8 when represented in the given floating point format?
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When performing the subtraction N2 - N1 with N1=(-0.014)8 and N2=(0.14)8, what must be done first?
When performing the subtraction N2 - N1 with N1=(-0.014)8 and N2=(0.14)8, what must be done first?
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What is the range of values that can be represented on 3 bits?
What is the range of values that can be represented on 3 bits?
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What operation should be performed to calculate N1 + N2 when e1 and e2 are different?
What operation should be performed to calculate N1 + N2 when e1 and e2 are different?
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Which formula correctly represents the addition of a number and its corresponding two's complement?
Which formula correctly represents the addition of a number and its corresponding two's complement?
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What is the two's complement of 01000101 on 8 bits?
What is the two's complement of 01000101 on 8 bits?
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The most significant bit (MSB) in a binary representation indicates what?
The most significant bit (MSB) in a binary representation indicates what?
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How can subtraction of two n-bit integers a and b be performed using addition?
How can subtraction of two n-bit integers a and b be performed using addition?
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What is the value of 2's complement of a binary number N if n = 3?
What is the value of 2's complement of a binary number N if n = 3?
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What does the equation 2's C(2's C(N)) equal?
What does the equation 2's C(2's C(N)) equal?
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Which of the following expressions equals to a - b using the two's complement?
Which of the following expressions equals to a - b using the two's complement?
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Which of the following represents the Excess-3 encoding for the decimal number 7?
Which of the following represents the Excess-3 encoding for the decimal number 7?
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What is the binary representation of the decimal number 2 in BCD?
What is the binary representation of the decimal number 2 in BCD?
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In Gray code, how many bits change between two successive encodings?
In Gray code, how many bits change between two successive encodings?
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How many characters can be represented in standard ASCII encoding using 8 bits?
How many characters can be represented in standard ASCII encoding using 8 bits?
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Which binary code corresponds to the character 'A' in ASCII?
Which binary code corresponds to the character 'A' in ASCII?
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What is the primary use of the most significant bit in sign/absolute value representation?
What is the primary use of the most significant bit in sign/absolute value representation?
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Which of the following represents a limitation of sign/absolute value representation?
Which of the following represents a limitation of sign/absolute value representation?
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How many total representations of zero exist in sign/absolute value representation?
How many total representations of zero exist in sign/absolute value representation?
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What is the formula for determining the range of values that can be represented using n bits in sign/absolute value representation?
What is the formula for determining the range of values that can be represented using n bits in sign/absolute value representation?
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What techniques are used for representing negative numbers in binary?
What techniques are used for representing negative numbers in binary?
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What is the primary advantage of the sign/absolute value representation?
What is the primary advantage of the sign/absolute value representation?
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What is a potential consequence of having two representations for zero in the sign/absolute value format?
What is a potential consequence of having two representations for zero in the sign/absolute value format?
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What is the typical range of values that can be represented on 3 bits using sign/absolute value representation?
What is the typical range of values that can be represented on 3 bits using sign/absolute value representation?
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What is the biased exponent of N1 after calculation?
What is the biased exponent of N1 after calculation?
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What is the hidden bit in the IEEE 754 format?
What is the hidden bit in the IEEE 754 format?
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What is the value of the bias in the IEEE 754 single precision format?
What is the value of the bias in the IEEE 754 single precision format?
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How is the true exponent derived from the biased exponent?
How is the true exponent derived from the biased exponent?
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When converting from decimal to binary using BCD coding, how is each decimal digit treated?
When converting from decimal to binary using BCD coding, how is each decimal digit treated?
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What is the result of N2 - N1 with the true exponents calculated?
What is the result of N2 - N1 with the true exponents calculated?
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Which of the following represents the IEEE 754 64-bit double-precision format?
Which of the following represents the IEEE 754 64-bit double-precision format?
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Study Notes
Chapter 3: Representation and Coding of Information in the Machine
- The various types of information stored in central memory include instructions and data.
- Information types include numerical and non-numerical data, which further break down into integers, real numbers, and characters.
- Numerical data includes positive and negative integers, fractions, and fixed-point/floating-point real numbers, all requiring different representation methods.
- Non-numerical data concerns different types of characters.
- Methods for representing negative numbers include sign/absolute value, 1's complement, and 2's complement.
1. Representation of Integer Numbers
- Integers have two subtypes: unsigned (positive only) and signed (positive/negative).
- Different methods exist to indicate the sign of an integer to the machine:
- Sign/absolute value
- 1's complement
- 2's complement
1.1. Sign/Absolute Value Representation (S/VA)
- The most significant bit signifies the sign (1 for negative, 0 for positive).
- Remaining bits represent the absolute value of the number.
- Example: on 4 bits, 1001 represents -1, and 0001 represents +1.
- On n bits, representable values range from -(2^(n-1) - 1) to +(2^(n-1) - 1).
Advantages and Disadvantages of S/VA
- Simple representation
- Zero has two representations (+0 and -0), causing arithmetic complications.
- Requires separate circuits for addition and subtraction, inefficient compared to a single circuit.
1.2. One's Complement Representation (Restricted Complement)
- The one's complement of a number N (N’) satisfies N + N’ = 2^n – 1, where n is the number of bits.
- To find the one's complement: invert all the bits.
- Example: On 4 bits, the one's complement of 1010 is 0101.
1.3. Two's Complement Representation (True Complement)
- A number a expressed in n-bits, using modulo 2^n satisfies a + 2^n = a
- To find the two's complement (2's C): Find the one's complement and add 1.
- Example: On 4 bits, the two's complement of 1001 is 0111 + 1 = 1000.
- This method handles negative numbers more directly, enabling a unified addition/subtraction circuit.
Arithmetic Operations in 2's Complement
- The result of addition can cause overflow (result falls outside representable range)
- Overflow arises when the sum of two positive numbers is negative or the sum of two negative numbers is positive.
- An overflow does not occur if the operands have different signs.
2. The Representation of Real Numbers
- Real numbers comprise an integer and a fractional part.
- Methods to represent real numbers include fixed-point and floating-point.
2.1 Fixed-Point Representation
- The position of the decimal or comma is fixed.
- Integer part and fractional part are encoded separately.
- Limited precision.
- Fewer bits lead to less precision.
2.2 Floating-Point Representation
- The machine represents a number as M * b^e.
- M denotes mantissa, b denotes base (usually 2), and e denotes exponent.
- The mantissa and exponent are encoded separately.
- Normalize mantissa to ensure proper decimal representation.
Encoding of Real Numbers’ Exponents
- Employing two's complement for storing the exponent.
- Use shifted (biased) exponents to ensure positive values.
- The biased exponent helps to normalize arithmetic operations by ensuring all exponents are positive allowing more efficient calculations.
IEEE 754 Standard
- Defines standard format for floating-point numbers in 32 or 64-bit formats.
- Normalize the mantissa to enhance precision.
3. BCD Coding (Binary Coded Decimal)
- Each decimal digit is converted to its 4-bit binary representation
- Combinations exceeding 9 are invalid.
Excess 3 Encoding (BCD+3)
- Adds 3 to each decimal digit.
- Transforms each decimal into 4-bit binary representation.
Reflected Binary Code (Gray Code)
- Only one bit changes between successive codes.
4. Character Encoding
- ASCII (American Standard Code for Information Interchange) assigns 8-bit codes to characters.
- Characters include letters, numbers, and symbols.
- Unicode is a 16-bit encoding scheme that can represent a larger set of characters.
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Description
Test your knowledge of binary numbers and two's complement representation with this quiz. It covers topics such as binary to decimal conversion, ranges of values in two's complement, and operations involving signed numbers. Perfect for students studying computer science or digital logic.