M-Sequence Generator MATLAB Program
A MATLAB implementation for generating M-sequences (pseudorandom binary sequences) with configurable length and polynomial parameters, featuring register feedback control and correlation analysis capabilities.
Comparative Study of M-Sequence Correlation with Algorithm Implementation Insights
Investigation of m-sequence correlation properties, generation methodologies including code implementation approaches, and applications of m-sequence autocorrelation functions in various technical domains
Comprehensive Pseudo-Random Code Generators for m-Sequences, Gold Sequences, Kasami Sequences, and OVSF Codes
This resource contains complete pseudo-random code generators for m-sequences, Gold sequences, Kasami sequences, and OVSF codes, including implementation details and algorithm explanations suitable for communication systems development.
MATLAB Code Implementation for M-Sequence Generation
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.
Application of m-Sequences in Frequency Hopping Communication Systems
This study explores the implementation of m-sequences in frequency hopping communication systems, providing MATLAB-based generation functions for frequency hopping sequences and presenting bit error rate (BER) performance curves under additive white Gaussian noise (AWGN) and multi-user interference conditions.
Improved PTS Technique Using M-Sequence for OFDM Systems
Enhanced Partial Transmit Sequence (PTS) approach utilizing M-sequence to reduce Peak-to-Average Power Ratio (PAPR) in OFDM transmissions
RAKE Receiver with 4-Path and 5-Path Multipath AWGN and Rayleigh Fading Channel
Implementation of RAKE receiver for 2 users under 4-path/5-path multipath AWGN with first-order Rayleigh fading channel, incorporating m-sequence and Gold sequence spreading codes with diversity combining techniques
M-Sequence Generator
M-Sequence Generator and its autocorrelation properties, including rectangular pulse signals formed by M-sequences and sinc-shaped M-sequence autocorrelation analysis
Generation of Commonly Used Pseudo-Random Signals: Gold Sequences and M-Sequences
In communication system simulations, pseudo-random signals are frequently employed. This source code file contains implementations for generating two of the most widely used pseudo-random signals: Gold sequences and M-sequences. The program features clear structure and comprehensive annotations, with added details about implementation approaches using linear feedback shift registers (LFSRs) and sequence combination algorithms.
Generation of Three Types of PN Sequences
Code implementations for generating three types of pseudorandom noise sequences, including: M-sequences, Gold sequences, and chaotic sequences, with detailed algorithm explanations and application scenarios.