Generating Wind Load Time Series
Producing wind load time series data for structural vibration analysis applications, including implementation approaches for computational simulations
Explore MATLAB source code curated for "产生" with clean implementations, documentation, and examples.
Producing wind load time series data for structural vibration analysis applications, including implementation approaches for computational simulations
Producing Lorenz time series through mathematical equations proves highly valuable for studying chaotic systems and nonlinear dynamics
MATLAB source code implementation for generating Barker codes with algorithm explanation
Gold sequences are generated from preferred pairs of m-sequences through modulo-2 addition of two m-sequences with identical length and rate but different code words. One preferred pair of length-N m-sequences can produce N+2 distinct Gold codes.
Implementation functions for generating 15 types of analog and digital modulation signals with comprehensive parameter control. Key parameters include: type - modulation scheme selection, total_time - total signal duration, fc - carrier frequency, fs - sampling frequency, symbol_rate - symbol transmission rate. The functions employ mathematical modeling of modulation techniques and DSP algorithms for signal synthesis.
Generate and visualize white noise signal images using MATLAB with comprehensive implementation approaches
Comprehensive MATLAB implementation for 2DPSK signal generation and modulation, including executable code with detailed comments for practical application and performance analysis.
MATLAB implementation for creating rectangular pulse signal waveforms with code examples
This MATLAB-based program generates OVSF (Orthogonal Variable Spreading Factor) codes used for WCDMA spreading, featuring straightforward implementation and practical utility. The implementation utilizes MATLAB's matrix operations and recursive algorithms to efficiently create orthogonal code sequences with variable spreading factors.
Generation of LFM signals with comprehensive performance analysis, ambiguity function characterization, and matched filter output analysis for LFM signal reception