Filters & Denoising MATLAB Projects

Explore filter design, adaptive filtering, wavelet denoising and other MATLAB project ideas for signal and image processing.

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How to design filters in MATLAB?
matlabsolutions - May 27, 2029

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How to implement denoising algorithms?
matlabsolutions - May 27, 2029

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How to analyze filter performance?
matlabsolutions - May 27, 2029

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How to process noisy signals?
matlabsolutions - May 21, 2028

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Implementation of Butterworth, Chebyshev-I and Elliptic Filters for Speech Analysis
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Design and analyze IIR filters (Butterworth, Chebyshev I, Elliptic) for lowpass, highpass and bandpass filtering of speech signals. Observe impulse, magnitude and phase responses in MATLAB.

Adaptive Filtering for Hearing Aids
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Design adaptive algorithms to enhance speech by attenuating noise for hearing aid applications. Implement and simulate adaptive filters in MATLAB and (optionally) on DSP hardware for real-time use.

Hybrid Median Filter Design
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Implement hybrid median filters to remove impulse noise from images while preserving edges, and compare performance with standard median filters.

Design of FIR Filter Using Symmetric Structure
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Design efficient FIR filters using symmetric structures and equiripple windows; analyze hardware cost and dynamic reconfiguration strategies for FIR implementations.

Wavelet Signal and Image Denoising
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Use wavelet transforms and coefficient thresholding for signal and image denoising; apply methods to EEG signals and MR images and evaluate with MSE/PSNR.

Application of Spatial Domain Filters on Noisy Images
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Apply spatial domain filters to noisy images to evaluate filter efficiency in enhancing image quality and reducing noise.

Adaptive Median Filter for Image Denoising
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Implement a decision-based adaptive median filter to remove impulse noise and compare visually and quantitatively using MSE and PSNR.

Denoising Phaseless Diffraction Measurements
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Recover images from noisy phaseless diffraction measurements using ADMM and plug-and-play denoising with filters like TGV, NLM and BM3D.

Characterization of Auditory Evoked Potentials Using MATLAB
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Process EEG/MEG data to extract auditory steady state responses (ASSR) and apply signal processing techniques to separate ASSR from cortical activity.

Swept-Tone Evoked Otoacoustic Emissions: Calibration and Acquisition
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Implement swept-tone stimulus calibration and deconvolution-based acquisition methods for otoacoustic emissions; analyze stimulus compression and artifact reduction.

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