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在数字传送系统中,每个电码的重要性可以是相同的,例如脉冲数目制的系统,它的每个脉冲的重要性就是相同的。远控的电码也可能是相同的,但是在更多的情况下,每组电码中的每个码的重要性是不相同的。例如在二进制系统中,每组电码可以写成 a_na_(n-1)a_(n-2)… a_2a_1 a_i=0 (i=1, 2, 3,…n) a_i=1 (i=1, 2, 3,…n) 它的第i个电码a_i的重要性,可以用 A_i=2~(i-1)A_1来表示, 式中A——为码的权。从传送的观点来看,我们感兴趣的不单是电码的失真概率,而是信息的失真,后者可用错误的均方差或一阶绝对矩来衡量。在一般的数字数值传送系统中,是以均方差来衡量系统的抗干扰能力。设系统通道中的干扰噪声为白色正态分布,又通道是对称的,则传送信息时的错误方
In a digital transmission system, the importance of each code can be the same, for example, a system of pulses, the importance of which is the same for each pulse. Remote control of the code may also be the same, but in more cases, each code in each code of importance is not the same. For example, in a binary system, each set of codes may be written as a_na_ (n-1) a_ (n-2) ... a_2a_1 a_i = 0 (i = 1, 2, 3, ... n) 3, ... n) The importance of its i-th code a_i can be expressed as A_i = 2 ~ (i-1) A_1, where A - is the weight of the code. From the transmission point of view, we are not only interested in the probability of distortion of the code, but of the distortion of the information, which can be measured by either the mean square error or the first order absolute moment. In a typical digital numerical transmission system, the mean square error is used to measure the system’s anti-interference ability. Suppose that the interference noise in the system channel is white normal distribution and the channel is symmetrical, then the wrong side