The document discusses the advantages of using binary representation for decimal numbers in computations, particularly in maintaining uniformity before and after the decimal point. It highlights that this uniformity allows calculations to be conducted independently of the decimal's position, facilitating easier display of results. Additionally, it compares the Q format with Mean Squared Error (MSE) preferences in this context.

1. A = 0101.0110 in binary will be 5.375 in decimal
4. So the major advantage comes when the decimal point is not same for the various other number to be used in the calculation like addition. The computer has to store d
5. If however, all the numbers to be used in the calculations have digits before the decimal and after is uniform throughout.
6. The calculations can be carried out independent of the position of the decimal and the result thus obtained can easily be displayed by knowing the standard format and
COMPARISON OF Q FORMAT vs MSE (Mean Square Error)
Preference to Q format

2. A = 0101.0110 in binary will be 5.375 in decimal
4. So the major advantage comes when the decimal point is not same for the various other number to be used in the calculation like addition. The computer has to store d
5. If however, all the numbers to be used in the calculations have digits before the decimal and after is uniform throughout.
6. The calculations can be carried out independent of the position of the decimal and the result thus obtained can easily be displayed by knowing the standard format and
COMPARISON OF Q FORMAT vs MSE (Mean Square Error)
Preference to Q format

3. A = 0101.0110 in binary will be 5.375 in decimal
4. So the major advantage comes when the decimal point is not same for the various other number to be used in the calculation like addition. The computer has to store d
5. If however, all the numbers to be used in the calculations have digits before the decimal and after is uniform throughout.
6. The calculations can be carried out independent of the position of the decimal and the result thus obtained can easily be displayed by knowing the standard format and
COMPARISON OF Q FORMAT vs MSE (Mean Square Error)
Preference to Q format

4. A = 0101.0110 in binary will be 5.375 in decimal
4. So the major advantage comes when the decimal point is not same for the various other number to be used in the calculation like addition. The computer has to store d
5. If however, all the numbers to be used in the calculations have digits before the decimal and after is uniform throughout.
6. The calculations can be carried out independent of the position of the decimal and the result thus obtained can easily be displayed by knowing the standard format and
COMPARISON OF Q FORMAT vs MSE (Mean Square Error)
Preference to Q format

5. A = 0101.0110 in binary will be 5.375 in decimal
4. So the major advantage comes when the decimal point is not same for the various other number to be used in the calculation like addition. The computer has to store d
5. If however, all the numbers to be used in the calculations have digits before the decimal and after is uniform throughout.
6. The calculations can be carried out independent of the position of the decimal and the result thus obtained can easily be displayed by knowing the standard format and
COMPARISON OF Q FORMAT vs MSE (Mean Square Error)
Preference to Q format

6. A = 0101.0110 in binary will be 5.375 in decimal
4. So the major advantage comes when the decimal point is not same for the various other number to be used in the calculation like addition. The computer has to store d
5. If however, all the numbers to be used in the calculations have digits before the decimal and after is uniform throughout.
6. The calculations can be carried out independent of the position of the decimal and the result thus obtained can easily be displayed by knowing the standard format and
COMPARISON OF Q FORMAT vs MSE (Mean Square Error)
Preference to Q format

7. A = 0101.0110 in binary will be 5.375 in decimal
4. So the major advantage comes when the decimal point is not same for the various other number to be used in the calculation like addition. The computer has to store d
5. If however, all the numbers to be used in the calculations have digits before the decimal and after is uniform throughout.
6. The calculations can be carried out independent of the position of the decimal and the result thus obtained can easily be displayed by knowing the standard format and
COMPARISON OF Q FORMAT vs MSE (Mean Square Error)
Preference to Q format

8. A = 0101.0110 in binary will be 5.375 in decimal
4. So the major advantage comes when the decimal point is not same for the various other number to be used in the calculation like addition. The computer has to store d
5. If however, all the numbers to be used in the calculations have digits before the decimal and after is uniform throughout.
6. The calculations can be carried out independent of the position of the decimal and the result thus obtained can easily be displayed by knowing the standard format and
COMPARISON OF Q FORMAT vs MSE (Mean Square Error)
Preference to Q format