Abstract Syntax Notation One the single value byte 05 with less than 8 bits, if it knows that allowed values can only fit in a smaller range). Note also that the last 6 bits in the encoded PER are padded with null bits in the 6 least significant bits of the last byte c0 : these extra bits may not be transmitted or used for encoding something else if this sequence is inserted as a part of a longer unaligned PER sequence. This means that unaligned PER data is essentially an ordered stream of bits, and not an ordered stream of bytes like with
Stochastic computing rough estimate very rapidly. This property is usually referred to as "progressive precision", which suggests that the precision of stochastic numbers (bit streams) increases as computation proceeds. It is as if the most significant bits of the number arrive before its least significant bits; unlike the conventional arithmetic circuits where the most significant bits usually arrive last. In some iterative systems the partial solutions obtained through progressive precision can provide faster feedback than through traditional computing methods, leading to faster convergence. Stochastic computing is, by its very nature, random. When we examine a random bit stream and try to reconstruct