时域波形 Resources

Showing items tagged with "时域波形"

Record your own voice signal and sample the recorded signal; plot the time-domain waveform and spectrogram of the sampled voice signal; design a filter using the window function method and bilinear transform based on specified filter performance requirements, and plot the filter's frequency response; apply the designed filter to process the acquired signal, plot the filtered signal's time-domain waveform and spectrum, compare pre- and post-filtering signals, and analyze signal changes; playback the voice signal; finally, design a signal processing system interface with integrated functions.

MATLAB 307 views Tagged

MATLAB-based Manchester encoding implementation featuring adjustable 50% duty cycle, time-domain waveform plotting, and frequency-domain power spectral density analysis. Results perfectly match the waveform patterns demonstrated in Professor Guo Wenbin's Communication Principles course materials from Beijing University of Posts and Telecommunications.

MATLAB 580 views Tagged

Record your own voice signal, perform sampling, and visualize time-domain waveforms and spectrograms. Design filters using window function method and bilinear transform based on specified performance metrics, then analyze frequency response. Apply custom filters to voice signals, compare pre/post-filtering results, playback audio, and create a signal processing system GUI.

MATLAB 314 views Tagged

This project involves recording a personal speech signal, performing sampling operations, and visualizing both time-domain waveforms and spectrograms. With specified filter performance metrics, we design filters using the window function method and bilinear transformation, then plot their frequency responses. The recorded signal is filtered using the custom-designed filter, and the filtered signal's time-domain waveform and spectrum are visualized. Finally, a comparative analysis between pre-filtered and post-filtered signals is conducted to examine signal changes.

MATLAB 262 views Tagged

This project involves recording a 15-30 second voice sample, processing it through MATLAB using functions like wavread and sound, and conducting comprehensive signal analysis including time-domain waveform plotting, power spectrum calculation at 1-second intervals, FIR/IIR filter design with frequency response visualization, signal filtering implementation, and time-frequency analysis with 0.05-second resolution.

MATLAB 247 views Tagged

Simulation of DSB signal waveforms including time-domain waveforms and frequency-domain spectrum plots, demonstrating amplitude modulation characteristics and spectral analysis.

MATLAB 223 views Tagged

Implementation of SSB modulation and demodulation using MATLAB, where we develop M-files to generate modulated signals, demodulate them, and analyze time-domain/frequency-domain waveforms with and without noise. The implementation includes plotting comparative waveforms and evaluating demodulation accuracy under different channel conditions.

MATLAB 319 views Tagged

Record personal voice signals using audio recording functions. Perform sampling operations with specified rates using functions like `audiorecorder()` in MATLAB. Plot time-domain waveforms using `plot()` and spectrograms using `spectrogram()` functions. Implement noise addition through random signal generation and denoising using filtering techniques like Wiener filtering or wavelet denoising. Compare pre/post-filtering signals through waveform comparison and spectral analysis. Achieve audio playback using `sound()` function with variable sampling rates for fast/slow playback effects.

MATLAB 282 views Tagged

Waveform diagrams of AMI signals, including time-domain waveforms and frequency-domain waveforms, with implementation details for waveform generation and analysis.

MATLAB 229 views Tagged