Generation of Linear Frequency Modulated Pulse Signals
Generation of Linear Frequency Modulated Pulse Signals and Dechirp Processing Techniques
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Generation of Linear Frequency Modulated Pulse Signals and Dechirp Processing Techniques
Implementation in MATLAB for generating a conditional narrowband random process, including subroutines to compute mean function, autocorrelation function, power spectrum, envelope, squared envelope, and phase characteristics with one-dimensional probability density visualization
This MATLAB function generates Gaussian white noise through customizable parameter settings, enabling users to create specific white noise signals while providing insights into random signal generation methodologies.
Generation and spectrum analysis of biphase coded signals, capable of producing 7-bit, 11-bit, 13-bit standard coding sequences and spectrograms for 13-bit Barker codes, with verification through simulation implementations
This study verifies the effectiveness of the power inversion algorithm in eliminating high-power single-frequency interference from GPS signals, covering both GPS signal generation and algorithm implementation with code-level descriptions.
Calculation and analysis of supercontinuum generation and transmission characteristics in photonic crystal fibers using the Split-Step Fourier Method, with implementation details of numerical modeling and spectral evolution algorithms.
Generate a chirp signal and analyze its time-domain and frequency-domain characteristics. Implement matched filtering for signal detection, including handling scenarios with time delays for accurate filtering.
Generation of complex noise signals, including Gaussian white noise and colored noise (with definable filters)
Generation of Nonlinear Frequency Modulated Signals and an optimization approach designed for pulse compression processing. Detailed content and implementation code are provided in the accompanying documentation.
11.txt contains source code for generating channel impulse responses, while 22.txt implements various OFDM channel estimation algorithms with detailed implementation approaches.