Explore MATLAB source code curated for "本原多项式" with clean implementations, documentation, and examples.
Generate m-sequences by inputting primitive polynomials and corresponding register initialization values, with implementation details for linear feedback shift register (LFSR) configuration and sequence properties.
Implementation of m-sequence generation including primitive polynomial selection under various conditions in finite field GF(p), covering different p values, multiple orders, and diverse polynomial choices with code implementation insights.
M-sequence signal algorithm simulation has broad application prospects in system identification. Compared with the multi-harmonic phase difference method, which requires prior knowledge of the number of identification parameters and complete cycle truncation for high precision, M-sequence signal testing imposes no such constraints. When identifying unknown models, the least squares algorithm can be utilized to observe the identification system's accuracy for determining model order. This algorithm not only provides computational methods for primitive polynomials used in M-sequence generation but also implements generation algorithms for M-sequence signals and develops corresponding identification methods.
MATLAB programs for generating M-sequences and automatically generating primitive polynomials, featuring algorithm explanations and key function implementations
Exploring m-sequence generation in GF(p) finite fields with varying prime characteristics, including implementation considerations for linear feedback shift registers (LFSR) and primitive polynomial selection.