Binary and Two's Complement Quiz
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Questions and Answers

What is the decimal value of the binary number 100 in two's complement representation?

  • 3
  • -4 (correct)
  • 4
  • -3
  • Which of the following ranges represents the values that can be expressed using 3 bits in two's complement?

  • -4 to 4
  • -4 to 3 (correct)
  • -2 to 2
  • -3 to 3
  • What does the most significant bit in a two's complement binary number indicate?

  • The magnitude of the number
  • The number of bits used
  • The base of the number system
  • Whether the number is negative or positive (correct)
  • What is true about the representation of zero in signed binary numbers using two's complement?

    <p>It has a unique representation. (A)</p> Signup and view all the answers

    Which mathematical expression correctly defines the range of values in two's complement for n bits?

    <p>-(2^{n -1}) ≤ N ≤ +(2^{n -1} - 1) (B)</p> Signup and view all the answers

    What is the biased exponent for the number (0.015) 8 when represented in the given floating point format?

    <p>0011 (D)</p> Signup and view all the answers

    When performing the subtraction N2 - N1 with N1=(-0.014)8 and N2=(0.14)8, what must be done first?

    <p>Adjust the exponents to be equal. (D)</p> Signup and view all the answers

    What is the range of values that can be represented on 3 bits?

    <p>-3 to +3 (C)</p> Signup and view all the answers

    What operation should be performed to calculate N1 + N2 when e1 and e2 are different?

    <p>Raise to the largest exponent and normalize the result. (D)</p> Signup and view all the answers

    Which formula correctly represents the addition of a number and its corresponding two's complement?

    <p>a + 2^n = a modulo 2^n (C)</p> Signup and view all the answers

    What is the two's complement of 01000101 on 8 bits?

    <p>10111011 (A)</p> Signup and view all the answers

    The most significant bit (MSB) in a binary representation indicates what?

    <p>The sign of the number (D)</p> Signup and view all the answers

    How can subtraction of two n-bit integers a and b be performed using addition?

    <p>a - b = a + (-b) (B)</p> Signup and view all the answers

    What is the value of 2's complement of a binary number N if n = 3?

    <p>1's complement of N plus 1 (D)</p> Signup and view all the answers

    What does the equation 2's C(2's C(N)) equal?

    <p>N (C)</p> Signup and view all the answers

    Which of the following expressions equals to a - b using the two's complement?

    <p>a + 2's C(b) (C)</p> Signup and view all the answers

    Which of the following represents the Excess-3 encoding for the decimal number 7?

    <p>1010 (C)</p> Signup and view all the answers

    What is the binary representation of the decimal number 2 in BCD?

    <p>0010 (B)</p> Signup and view all the answers

    In Gray code, how many bits change between two successive encodings?

    <p>One bit (C)</p> Signup and view all the answers

    How many characters can be represented in standard ASCII encoding using 8 bits?

    <p>256 (D)</p> Signup and view all the answers

    Which binary code corresponds to the character 'A' in ASCII?

    <p>01000001 (C)</p> Signup and view all the answers

    What is the primary use of the most significant bit in sign/absolute value representation?

    <p>Indicate the sign of the number (C)</p> Signup and view all the answers

    Which of the following represents a limitation of sign/absolute value representation?

    <p>It requires more complex circuits for arithmetic operations (C)</p> Signup and view all the answers

    How many total representations of zero exist in sign/absolute value representation?

    <p>Two (B)</p> Signup and view all the answers

    What is the formula for determining the range of values that can be represented using n bits in sign/absolute value representation?

    <p>$-(2^{(n-1)} - 1) ext{ to } +(2^{(n-1)} - 1)$ (B)</p> Signup and view all the answers

    What techniques are used for representing negative numbers in binary?

    <p>Sign/absolute value, 1's complement, and 2's complement (D)</p> Signup and view all the answers

    What is the primary advantage of the sign/absolute value representation?

    <p>It is simple and straightforward to understand (A)</p> Signup and view all the answers

    What is a potential consequence of having two representations for zero in the sign/absolute value format?

    <p>Ambiguity leading to errors in arithmetic operations (B)</p> Signup and view all the answers

    What is the typical range of values that can be represented on 3 bits using sign/absolute value representation?

    <p>-3 to +3 (A)</p> Signup and view all the answers

    What is the biased exponent of N1 after calculation?

    <p>11 (D)</p> Signup and view all the answers

    What is the hidden bit in the IEEE 754 format?

    <p>The leading 1 in the mantissa (A)</p> Signup and view all the answers

    What is the value of the bias in the IEEE 754 single precision format?

    <p>127 (C)</p> Signup and view all the answers

    How is the true exponent derived from the biased exponent?

    <p>By subtracting the bias from the biased exponent (B)</p> Signup and view all the answers

    When converting from decimal to binary using BCD coding, how is each decimal digit treated?

    <p>Each digit is represented as a 4-bit binary value (C)</p> Signup and view all the answers

    What is the result of N2 - N1 with the true exponents calculated?

    <p>The same as calculated without biased exponent (C)</p> Signup and view all the answers

    Which of the following represents the IEEE 754 64-bit double-precision format?

    <p>1 bit for sign, 11 bits for exponent, 52 bits for mantissa (D)</p> Signup and view all the answers

    Flashcards

    Sign/Absolute Value (S/VA) representation

    A method of representing negative numbers where the most significant bit (MSB) indicates the sign (0 for positive, 1 for negative) and the remaining bits represent the absolute value of the number.

    Binary Representation

    A bit pattern used to represent a number, where each bit represents a power of 2.

    Bitwise Complement

    An operation that changes the value of a bit by inverting its state (0 becomes 1, 1 becomes 0).

    Two's Complement

    A method for representing negative numbers where the negative number is found by inverting all the bits of the positive number and adding 1.

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    Maximum Range

    The maximum value that can be represented using a specific number of bits.

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    Minimum Range

    The minimum value that can be represented using a specific number of bits. Often a negative value in two's complement.

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    Number System Conversion

    The process of representing a value in a different numbering system, such as converting from decimal to binary.

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    Real Number Representation

    Representing real numbers (numbers with fractional parts) in a computer's memory. Common techniques involve using fixed-point or floating-point representations.

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    MSB in Two's Complement

    The most significant bit (MSB) in a Two's Complement representation indicates the sign of the number. If the MSB is 1, the number is negative. If it is 0, the number is positive.

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    Arithmetic Operations in Two's Complement

    The Two's Complement representation allows us to perform arithmetic operations (addition and subtraction) using a single set of rules, regardless of whether the numbers are positive or negative. This simplifies the process of operations in computers.

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    Range of Values in Two's Complement

    On n bits, the range of values that can be represented in Two's Complement is from -2^(n-1) to +(2^(n-1) - 1). This means that for n=3 bits, the possible values range from -4 to +3.

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    Representation of Zero in Two's Complement

    Zero (0) in Two's Complement is represented by all bits being set to 0. It has a unique representation and does not have a double representation.

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    Floating Point Representation

    A machine representation for real numbers using a fixed-point format, consisting of a sign bit, a biased exponent, and a normalized mantissa.

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    Floating Point Normalization

    The process of converting a real number into its floating-point representation by adjusting the exponent and mantissa to ensure the number is properly normalized.

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    Bias in Exponent

    The value added to the true exponent to obtain a positive biased exponent, allowing for efficient representation within the allotted bits.

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    Floating Point Addition: Same Exponent

    The addition of two floating point numbers that have the same exponent by directly adding their mantissas.

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    Floating Point Addition: Different Exponents

    The addition of two floating point numbers with different exponents by adjusting the smaller exponent to match the larger exponent and then adding the mantissas.

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    1's Complement Range

    The range of values representable on 'n' bits using 1's complement representation. It spans from -(2^(n-1)-1) to +(2^(n-1)-1).

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    Modulo 2^n Property

    A mathematical concept ensuring that adding 2^n to a number 'a' represented in binary form on 'n' bits, and then taking the result on those 'n' bits, returns the original value 'a'.

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    2's Complement

    A method to represent negative numbers in binary. It involves inverting all bits of the positive equivalent and adding 1.

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    Finding 2's Complement

    The process of finding the 2's complement of a number. It involves inverting all bits starting from the least significant bit until the first '1' and then keeping all bits before that '1'.

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    Sign Bit in 2's Complement

    The most significant bit (MSB) in a 2's complement representation determines the sign of the number. A '0' MSB indicates a positive number, while a '1' MSB indicates a negative number.

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    Inverse Property of 2's Complement

    The 2's complement of the 2's complement of a number 'N' results in the original number 'N'. This property is crucial for performing arithmetic operations.

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    Subtraction as Addition (2's Complement)

    The process of converting a subtraction operation into an addition operation in 2's complement representation. It involves adding the 2's complement of the subtrahend to the minuend.

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    Decimal Value in 2's Complement

    The decimal value of a binary number in 2's complement form is determined by considering the sign bit. If the sign bit is '1' (negative), the value is calculated by taking the 2's complement of the binary representation and then negating it.

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    Bias (in floating-point representation)

    A numerical value that determines the shift applied to the exponent part of a floating-point number.

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    Biased Exponent

    The exponent representation of a floating-point number after applying the bias, helping to handle both positive and negative exponents.

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    IEEE 754 Standard

    A standardized representation for floating point numbers, defining two formats: 32-bit single precision and 64-bit double precision.

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    Mantissa (in floating-point representation)

    The fractional part of a floating-point number, normalized to a range between 1 and 2, with the leading 1 bit often implicit.

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    Hidden Bit (in floating-point representation)

    The leading 1 in the mantissa of a floating-point number that's not explicitly stored in the computer, to save space.

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    BCD Coding (Binary Coded Decimal)

    A method of representing numbers using 4 bits per decimal digit, where each digit is converted to its corresponding binary equivalent.

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    Real Number Representation (in computers)

    The representation of numbers with fractional parts, using various methods such as fixed-point or floating-point, to handle both integer and fractional parts.

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    Excess-3 (BCD+3) Encoding

    A system where each digit 0-9 is represented by a 4-bit BCD code, but with 3 added to each value. This allows for a more compact representation of numbers using binary.

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    Reflected Binary (Gray) Code

    A binary code where consecutive values differ by only one bit. This eliminates the issue of multiple-bit changes leading to errors.

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    ASCII (American Standard Code for Information Interchange)

    A standard for representing characters using 8-bit code combinations, allowing for 256 unique characters.

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    Unicode

    A 16-bit encoding scheme that supports a wider range of characters than ASCII, accommodating diverse languages and symbols.

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    Combinations Greater Than 9

    A system where combinations greater than 9 are not used for representing numbers, ensuring a consistent 4-bit representation within the system.

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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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    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.

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