BPSK Signal Power Spectral Density with MATLAB Implementation
MATLAB programming code for calculating and visualizing the power spectral density of BPSK signals, including waveform generation and spectral analysis using Welch's method.
Explore MATLAB source code curated for "波形" with clean implementations, documentation, and examples.
MATLAB programming code for calculating and visualizing the power spectral density of BPSK signals, including waveform generation and spectral analysis using Welch's method.
This program implements MATLAB-based simulation for signal waveform envelope extraction, utilizing advanced algorithms for accurate envelope detection and signal analysis.
Comprehensive OFDM simulation including channel modeling, multipath effects, and multi-component waveform analysis with detailed technical explanations and MATLAB implementation insights
1) Speech signal acquisition using audio recording functions 2) Spectral analysis through FFT implementation 3) Design of high-pass/low-pass digital filters with frequency response visualization 4) Signal filtering using convolution operations 5) Comparison of pre/post-filtering waveforms and spectra 6) Original signal audio playback 7) Time-stretching algorithms for fast/slow playback 8) Echo effect implementation using delay lines 9) Pitch shifting techniques for high/low voice effects 10) GUI system design with interactive controls
Voice processing software with GUI interface, original implementation featuring time-domain and frequency-domain analysis, waveform visualization, window functions, and recording capabilities.
Generate a uniformly distributed white noise signal with zero mean and power p, plot its waveform, and validate its distribution. Additionally, generate zero-mean Gaussian white noise with power 0.1, sinc signals, chirp signals, and demonstrate linear convolution operations with implementation details.
A MATLAB GUI application for playing WAV audio files with real-time waveform visualization, featuring audio editing and volume control capabilities.
1. Generate equiprobable independent binary sequences and plot their waveforms; 2. Generate additive Gaussian random noise with zero mean and unit variance; 3. Perform 8PSK modulation and plot the modulated waveforms; 4. Conduct Monte Carlo analysis; 5. Demodulate 8PSK signals and plot the eye diagram.
ECG signal simulation using superposition of multiple triangular waves and sinusoidal waves to imitate electrocardiogram waveform patterns
MATLAB/Simulink simulation of average current controlled Active Power Factor Correction (APFC) demonstrating good waveform performance with minor zero-crossing distortion requiring improvement through control parameter optimization or advanced control strategies.