# Recent questions tagged ieee-representation 1
In IEEE $754$ single floating point format, how many numbers can be represented in the interval [10, 16)? A. $2^{21}$ B. $3 * 2^{21}$ C. $5 * 2^{21}$ D. $2^{22}$
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The decimal floating point number -40.1 represented using IEEE-754 32-bit representation and written in hexadecimal form is- 0xC2006000 0xC2006666 0xC2206000 0xC2206666
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What is the minimum difference between two successive real numbers representable in this system?
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Consider the following bit pattern represents he floating point number in IEEE 754 single precision format : 1 10000111 11100000000000000000000 What is the value in Base-10 represented by above floating point number ?
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1 vote
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Represent $(2.5)_{10}$ in IEEE 754 Single precision standard: When 1 is implicit. When 1 is explicit. For the part A I am getting:- 0 100 0000 010 0000 And for part B:- 0 100 0000 1010 0000 In explicit $1$ we have to explicitly give memory to that leading $1$ and in implicit notation, we don’t allocate memory to that leading $1$. @Arjun Sir…...
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Consider the following statements: S1 : IEEE 802.11 does not uses sequence number. S2 : The amount of data send in one time in limited by RTS frame (data = sender's data + ACK). S3 : IEEE 802.11 uses CSMA/CA medium access protocol. S4 : The exponential ... of collision on retransmissions in ethernet. Which of the following is true? This is from topic- wifi. From where should i study this topic ?
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Consider the following bit pattern represents the floating point number in IEEE 754 single precision format: 1 10000111 11100000000000000000000 Which of the following represents the decimal value of above floating number? A) -192 B) -320 C) -384 D) -448
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Write the number $(-5)^{\frac{1}{2}}$ in single precision IEEE 754 floating point form.
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The difference between 201 and next larger double precision number is 2$^P$. If IEEE double precision format is used then the value of P is ______________________
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Ans. D
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For next 3 questions: Consider the following $8$ bit IEEE floating point representation. The most significant bit is sign bit The next $4$ bit $1's$ complement exponent The last 3 bit for mantissa What is smallest positive normalized number? $(a)2^{-7}$ $(b)0$ $(c)2^{-6}$ ... is largest normalized number? $(a)259$ $(b)255$ $(c)256$ $(d)240$ I get confuse to solve this type of questions.......
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A 32-bit floating-point number(follows IEEE STANDARD) is represented by a 8-bit signed exponent, and a 23-bit fractional mantissa. The base of the scale factor is 16, The range of the exponent is ___________, if the scale factor is represented in excess-64 format.
1 vote
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A 32-bit floating-point number (follows IEEE Standard)is represented by a 8-bit signed exponent, and a 23-bit fractional mantissa. The base of the scale factor is 16, The range of the exponent is ___________ .
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In IEEE floationg point representation, the hexadecimal number $0xC0000000$ corresponds to ? $-3.0$ $-1.0$ $-4.0$ $-2.0$
1 vote
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Given the following binary number in 32-bit (single precision) IEEE-754 format: 10111110110000000000000000000000 The decimal value closest to this floating-point number is i'm getting : -0.75 answer given is : -0.375 please verify
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Can someone please validate if the given range is correct, and we can keep all 0's in Mantissa unlike biased exponent.
1 vote
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the explanation given is I'm not able to get this concept.
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The decimal value of 0.005 in single precision floating point format is __________________
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Question 1 (a) Convert the positive decimal number 17.45 to IEEE 754 single precision representation. Show all of your working out. [15 marks] (b) In IEEE 754 single precision, 1.25 is represented as: 0 01111111 01000000000000000000000 In IEEE 754 single precision 1.26 is ... IEEE 754 representation of 1.26 than 1.25. [10 marks] (c) Why is the exponent biased in IEEE representation? [5 marks]
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Consider the following IEEE-754 single precision format 1 10101010 01010100................0 value represented by above number is _________________________
16 bit Floating Point Representation $(-1)^{sign}*(1.M)*2^{Exp - 63}$ Sign = 1 bit Exponent = 7 bit Mantissa = 8 bit 1) Max positive number 2) Min positive number. 3) Max negative number. 4) Min negative number. 5) What is meant by precision.