Explore MATLAB source code curated for "频谱图" with clean implementations, documentation, and examples.
Analysis of a rectangular pulse with period T=5 and pulse width tao=1, including its spectral characteristics and implementation approaches using signal processing techniques.
MATLAB spectrum plotting program supporting multiple waveform types and their frequency domain analysis
Performing spectral analysis on WAV files using MATLAB and generating spectrum plots with code implementation details
Image descriptions: A: Spectrum after Fourier transform; B: Spectrum after notch filter application; C: Filtered image after inverse transform (results not optimal). Ifft2: To validate the custom FFT program's correctness, used MATLAB's built-in ifft2 function for inverse transformation - output matches original image, confirming proper FFT implementation.
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.
Feature extraction of rubbing fault signals based on wavelet transform enables visualization of original signals, shaft centerline orbits, frequency spectra, and reconstructed signals from multi-level wavelet decomposition with MATLAB implementation approaches
This MATLAB function performs signal analysis to generate spectrum diagrams, instantaneous frequency plots, and Intrinsic Mode Function (IMF) visualizations. The implementation features user-customizable input functions and provides efficient signal processing capabilities with straightforward parameter modification for rapid results.
Simulation of OFDM receivers using MATLAB enables generation of corresponding constellation diagrams and spectral plots, with implementations involving signal demodulation, FFT processing, and visualization techniques.
FFT programming example demonstrating Fourier transform implementation with spectral visualization
This program performs basic spectral analysis on images to generate frequency spectrum visualizations, utilizing Fast Fourier Transform (FFT) algorithms and supporting multiple image formats including JPEG, PNG, and GIF.