Abstract :
This paper presents one new basic step in real time data compression. The data under compression are random sequence of variable Y which at time t:y0, y1, ..., yt have occurred. Y-random integer-{0, 1, ..., N-1}. So, at time t, if we produce Y¯t+1 to be really a subset to Y so that yt+1∈Y¯t+1 then we can write or send the index of yt+1 in Y¯t+1 instead of yt+1 . To do it we create a function F, which learned from some recent past Y by the fixed rules, to map a known set onto V. The known set is the set known by both sender and receiver, and also, the function F is automatically created the same at both sides
Keywords :
data compression; digital simulation; random processes; real-time systems; sequences; set theory; function; known set; random integer; random sequence; real time data compression; receiver; sender; simulation; Calendars; Data compression; Rain; Reactive power; Read only memory; Statistical distributions; Sun; Writing;