Design of the FAT file system significant bits the second (f.e cluster 1). In other words, while the low eight bits of the first cluster in the row are stored in the first byte, the top four bits are stored in the low nibble of the second byte, whereas the low four bits of the subsequent cluster in the row are stored in the high nibble of the second byte and its higher eight bits in the third byte. The FAT16 file system uses 16 bits per FAT entry, thus one entry spans two bytes in little-endian byte order: The FAT32 file system uses 32 bits
Stochastic computing bit operation that can compute this function; the usual solution involves producing correlated output bits, which, as we have seen above, can cause a host of problems. Other functions (such as the averaging operator formula_25) require either stream decimation or inflation. Tradeoffs between precision and memory can be challenging. Although stochastic computing has a number of defects when considered as a method of general computation, there are certain applications that highlight its strengths. One notable case occurs in the decoding of certain error correcting codes. In developments unrelated to stochastic computing, highly effective methods of decoding LDPC codes using the