1 / 10

CS 111 – Sept. 8

CS 111 – Sept. 8. Finish image rep’n Adding binary numbers Integer rep’n in general Unsigned Signed  the most important of the 3 Biased Commitment: Meet here tomorrow Please read pp. 58-64 Quiz Friday. RGB examples. Q: How do we get “other” shades of blue?.

hope-gibbs
Download Presentation

CS 111 – Sept. 8

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. CS 111 – Sept. 8 • Finish image rep’n • Adding binary numbers • Integer rep’n in general • Unsigned • Signed  the most important of the 3 • Biased • Commitment: • Meet here tomorrow • Please read pp. 58-64 • Quiz Friday

  2. RGB examples Q: How do we get “other” shades of blue?

  3. Indexed color • Do we really need 24 bits to represent color of one pixel? • This means we allocate 16,777,216 colors! • About 200 would be more practical • Indexed color is a “compressed” RGB • 6 values of each primary color, not 256 • Use hex values 00, 33, 66, 99, cc, ff • This is the color system used on the Web. • 1 byte per pixel instead of 3 • Use “dithering” to simulate in-between colors.

  4. Binary addition • Analogous to decimal addition you know • Only a few cases to consider – just watch out for carry. • 0 + 0 = 0 (no carry) • 0 + 1 = 1 (no carry) • 1 + 1 = 10 (sum = 0, carry = 1) • 1 + 1 + 1 = 11 (sum = 1, carry = 1) • Example, 6-bit addition: 001110 + 001100 • Can check our answer in base 10 • Overflow: correct answer is beyond possible range

  5. Integer rep’n • How do we represent integers inside the computer? • Scheme I: unsigned • Scheme II: signed (a.k.a. Two’s complement) • Scheme III: biased (a.k.a. Excess notation) • Scheme I: Unsigned • This is the scheme you already know. • Cannot handle negative numbers. • For n bits, possible range is 0 to 2n – 1. • Scheme II: Signed • Basic idea: half of the representations should be negative. • Ex. For 5 bits, 16 of the 32 values are negative, so the range goes from –16 to +15. • For n bits, possible range is –2n–1 to 2n–1 – 1.

  6. Signed rep’n continued • How do we represent a number in signed? • If positive, same as unsigned.  • Ex. 6-bit signed rep’n of 13 is 001101. • Ex. 6-bit signed rep’n of 31 is 011111. (the largest #) • If negative: 3 steps to represent –x: • Find rep’n of +x. • Invert the bits. • Add 1. • Try some examples of negative numbers, and check answers.

  7. Closer look… • In 5-bit unsigned… • Smallest number is 00000 (= 0) • Largest number is 11111 (= 31) • In 5-bit signed… • Smallest number is 10000 (= –16) • Largest number is 01111 (= 15) • Given a bit pattern, its signed and unsigned values differ by how much? • Try some examples. • In signed: • Leftmost bit is the sign bit. • Positive #’s have same rep’n as unsigned. • Technique for –x doesn’t work for lowest number. Special case.

  8. Signed + and – • Signed + is like unsigned. • Watch out for overflow. • The correct mathematical result can’t be represented. • (Pos) + (Pos) = (Neg) • (Neg) + (Neg) = (Pos) • Example: 01111 + 00001. • To subtract, add the opposite.  Example: 10111 – 00111 • First, –(00111) = 11001 • Turn into addition problem: 10111 + 11001 = __________ • Is there overflow?

  9. Scheme III: biased • Another way to represent integers that allows for negatives. • (It will soon help us see how real numbers are stored.)  • The “bias” is the number we subtract from unsigned range. • If B is the bias, the lowest number is –B. • When working with a biased rep’n, you have to be given the bias. • Ex. For 6-bits, bias is typically 31 or 32. • Ex. For 8-bits, bias is typically 127 or 128. • So, a “6 bit biased-31 rep’n” is based on 6-bit unsigned, except that 000000 is now –31 instead of 0.

  10. How to convert • How do we represent a number n in biased (B)? • Add the bias: n + B. • Determine the unsigned rep’n of this number. • Example: What is the 6-bit biased-31 rep’n of –9? • It’s the same as the unsigned rep’n of –9 + 31 = 22. • 22 in 6 bit unsigned is 010110. • How do we convert a biased number back into base 10? • Interpret the number as unsigned • Subtract the bias. • Example: 101010 is the 6-bit biased-31 rep’n of what number? • If unsigned, 101010 = 32+8+2 = 42. • 42 – 31 = 11.

More Related