Explore MATLAB source code curated for "频谱图" with clean implementations, documentation, and examples.
Extracting waveform diagrams, spectrograms, and FFT-transformed spectra from music signals, including code implementation approaches for signal processing algorithms
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.
ECG signal filtering digital signal processing experiment including source code, spectrum analysis diagrams, and filter response plots for practical implementation studies
Fourier Transform of digital images featuring the original image after rotation and translation, along with its corresponding frequency spectrum represented in three-dimensional coordinates. Implementation typically involves 2D FFT algorithms and visualization techniques.
Performing FFT transformation on sine wave signals to plot spectrum diagrams and conduct spectral analysis, enabling signal-to-noise ratio calculation with MATLAB code implementation
Comparative analysis of OFDM spectrum diagrams with and without windowing, including overlapping vs non-overlapping cyclic prefix scenarios, with additional BER calculation methodology and implementation details.
Generate sine waves, square waves, and white noise signals using MATLAB, display their time-domain waveforms, perform FFT analysis to show frequency spectra with customizable sampling rates, frequencies, and data lengths. Create RMS spectra, power spectra, and logarithmic RMS spectra for all three signals. Reconstruct signals using inverse FFT and display the recovered sine wave's time-domain waveform.
Simulink-based MFSK modulation and demodulation system operating in Rayleigh fading channels, implemented with 8FSK as a baseline example that can be extended to other MFSK variants. The system analysis includes spectrum diagrams, eye patterns, constellation diagrams, and post-demodulation bit error rate (BER) performance evaluation. The implementation demonstrates signal processing algorithms for frequency hopping, orthogonal modulation, and non-coherent detection suitable for fading channels.
An 8-band equalizer with filter adjustment capabilities, featuring real-time spectrum visualization and customizable parameter controls suitable for digital audio processing applications.
3D surface visualization of Wigner-Ville Distribution for frequency-hopping signals, including STFT-based time-frequency analysis and spectrogram generation of Wigner-Ville Distribution for FH signals