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As a simulation model, on the transmitter side, binary data are modulated by Phase Shift Keying, spread by M sequence (maximal length sequence), and transmitted after multiplying the carrier frequency.
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In this work, we employ a maximal-length sequence (MLS) as the signature sequence.
The signal is first modulated by a pseudo-random maximal-length sequence of +1's, alternating at or faster than the Nyquist frequency of the received signal, called the chipping sequence, p t).
Several families of codes have been traditionally adopted for spread spectrum purposes, such as Maximal-length sequences (m-sequences), Gold, and Kasami sequences.
Maximal length of sequence in the input MSA.
Based on the concept of break points in sequence T, we first propose a divide-and-conquer algorithm with O(n2m|S|+n3logk) time for solving this problem, where n and m are the length of T and the maximal length of sequences in S, respectively.
The maximal length of analyzed sequence varies widely across systems.
Conventional direct sequence spread spectrum system employs pseudo-noise (PN) code generators which are typically linear feedback shift register circuits that generate maximal length or related sequences.
For a pair of sequences, the exact values s q k (i ) can be calculated in O (k * n 2 ) time using suffix trees or similar data structures where n is the maximal length of the sequences.
The filters used in this analysis were: 1 - the respective orientations of the model, the EMBL contig, the chromosomal DNA strand and the identified gene; 2 – the maximal distance from the 3' end of the model to the TSS of the gene (500 nt by default); 3 - the maximal length of the overlapped sequence between the model and the 5' end sequence of the identified gene (200 nt by default).
Maximal length of the output sequences PEAR discards sequences longer than the specified maximal length.
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