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Data Representation using Signed Magnitude Video Lecture | Digital Electronics - Electrical Engineering (EE)

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FAQs on Data Representation using Signed Magnitude Video Lecture - Digital Electronics - Electrical Engineering (EE)

1. What is data representation using signed magnitude?
Ans. Data representation using signed magnitude is a method used to represent both positive and negative numbers in binary form. In this method, the most significant bit (MSB) is used as the sign bit, where 0 represents positive and 1 represents negative. The remaining bits represent the magnitude of the number.
2. How does signed magnitude represent positive numbers?
Ans. In signed magnitude representation, positive numbers are represented in the same way as their binary counterparts. The MSB is set to 0, indicating a positive sign, and the remaining bits represent the magnitude of the number.
3. How does signed magnitude represent negative numbers?
Ans. To represent negative numbers using signed magnitude, the MSB is set to 1, indicating a negative sign. The remaining bits represent the magnitude of the number, just like in the positive representation. However, the negative representation allows for both positive and negative zero, which can lead to some ambiguity.
4. What are the advantages of using signed magnitude representation?
Ans. One advantage of using signed magnitude representation is that it is simple and straightforward to understand and implement. It also allows for direct addition and subtraction operations. Additionally, it preserves the most significant bit as the sign bit, making it easy to determine the sign of a number.
5. What are the limitations of signed magnitude representation?
Ans. Signed magnitude representation has some limitations. One limitation is that it allows for both positive and negative zero, which can lead to confusion and errors in arithmetic operations. Another limitation is that it is not efficient in terms of storage, as it requires an extra bit for the sign. Finally, signed magnitude representation is not suitable for efficient multiplication and division operations.
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