Wednesday, February 5, 2014

Binary And Hex Notes

3.5 Data payation 3.5.1 Binary even upation Computers use binary notation i.e. sottish 2. Numeric 1 and 0 only. Numeric entropy is equal by converting. Integers on real number into episode of 1s and 0s Alphabetic information is represented by what is termed ASC11 8 second code on 16 bit Unicode. If we have n bits we can represent 2^n various combinations. N=1 or 1;2^1 = 2 combinations N=2 [][]2^2 = 4 combinations 0 0n= 3; 2^3 = 8 and so forth 01 10 11 Applications 1.color, pixel density > 4 bits, we can represent 16 different colorise. > [c] [o] [lo] [r] [brightness] [content] 16 colors x 2 levels of content x 2 levels of brightness. N=6; 2^6 = 64 different combinations. In general the more than bits the more RAM. Memory anticipateing N bits 2^n different memory locations. The number of locations you can address is a engage of the size of memory. 3.5.2 Need for standard formats for documents and artistic production We need to h ave a standard way of representing. E.g. ASC11 code, JPG etc. Otherwise too much sentence wasted in converting. 3.5.3 Expressing numbers in Binary and Hex Binary 2^72^62^52^42^32^22^12^0 1286432168421 Convert Binary to decimal (integer): 1 0 1 1 (2) = 1+2+0+8 = 11 1 1 0 1 1 1 1 (2) = 1+2+4+8+0+32+64 = 111 1 1 1 1 1 1 1 1 (2) = 1+2+4+8+16+32+64+128 = 255If you want to get a full essay, govern it on our website: OrderCustomPaper.com

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