滤波 Resources

Showing items tagged with "滤波"

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

MATLAB 249 views Tagged
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This experiment involves generating an ECG signal, adding noise, and then applying filtering techniques. Starting from an ECG signal data table, we first process the original signal containing known noise through filtering to obtain a clean ECG waveform. We then intentionally add high-frequency and mid-frequency noise to simulate real-world conditions. The noisy signal is displayed and filtered again to demonstrate noise removal. Each time-domain signal is visualized alongside its corresponding frequency spectrum for analysis. Different filter types are implemented and compared throughout the process to evaluate their performance characteristics.

MATLAB 212 views Tagged
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An enhanced fast bilateral filter algorithm that employs a three-stage approach: initial downsampling to reduce computational load, followed by bilateral filtering for image smoothing, and concluding with upsampling to restore image details and resolution.

MATLAB 233 views Tagged
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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 264 views Tagged
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