Let Py=P+o 2 C=l0g(2ePv1n log(2Teo 1/2 (12)log(Py/2) (N=σ2) (1/2)log(1+PN (bit/symbol) If X is a white Gaussian signal with bandwidth f and duration T, then there are 2FT symbols transmitted per second. Therefore, we have C= FTlog(1+P/ bit/second, he famous capacity formula
Let P = P + s C = log (2peP ) Y - log(2pes ) 1/2 1/2 = (1/2) log (P /s ) 2 Y = (1/2) log (1 + P/N) (bit/symbol) If X is a white Gaussian signal with bandwidth F and duration T, then there are 2FT symbols transmitted per second. Therefore, we have C = FT log (1 + P/N) bit/second, 2 Y 2 the famous capacity formula. (N = s ) 2
rom C=FTlog(1+PN) A)F, T, P are basic parameters of a channel. T Signal volume to be transmitted through a channel must be smaller than the channel capacity provided
F F T T P P Signal Volume to be transmitted through a channel must be smaller than the channel capacity provided. From C = FT log (1 + P/N ) A) F, T, P are basic parameters of a channel
B) For a given C, the parameters are exchangeable. This provides great flexibility for communication systems designing. C)Signal Division Frequency Division - FDMA Time Division-- TDMA Time Frequency Division Frequency Hopping F
C) Signal Division Frequency Division -- FDMA Time Division -- TDMA Time Frequency Division -- Frequency Hopping B) For a given C, the parameters are exchangeable. This provides great flexibility for communication systems designing. F T P Channel Capacity