Modeling & Simulation of Thresholding Wavelet in Denoising Noise
Implementation Plan:
Step 1: Initially, we collect and load underwater acoustic signal data , including wind noise data (.mat), ambient shackle noise (.mat), pinger noise (.txt), Audio Files (wav) from the provided files .
Step 2: Then, we pre-process and normalize the multi-sampling-frequency underwater acoustic signals using CEEMDAN-MMSVC-LMSAF to suppress unwanted ambient and non-stationary underwater noise components.
Step 3: Next, we perform nonlinear feature representation using Fractional Attention Entropy (FAE) and Enhanced Intrinsic Time-Scale Decomposition (EITD) by extracting discriminative underwater acoustic signal characteristics from the collected data.
Step 4: Next, we estimate the Adaptive Dynamic Threshold using the SCD-DDADE method for effective wavelet-domain denoising under varying underwater noise power conditions based on collected data.
Step 5: Next, we optimize the thresholded signal data using the GSO-EST MST-ST optimization method to improve denoising stability, adaptive convergence, and signal preservation performance based on collected data.
Step 6: Next, we reconstruct the denoised underwater acoustic signals using Inverse Discrete Wavelet Transform (IDWT) based on the optimized and thresholded coefficients obtained from collected data.
Step 7: Finally, we evaluate and plot the performance metrics for the following:
7.1: Power (dB) Vs. Signal-to-Noise Ratio (SNR) (dB)
7.2: Number of Epochs Vs. Mean Squared Error (MSE)
7.3: Number of Epochs Vs. Root Mean Squared Error (RMSE)
7.4: Number of Epochs Vs. False Alarm Rate (%)
7.5: Number of Epochs Vs. Precision (%)
7.6: Number of Epochs Vs. Accuracy (%)
Software Requirements:
Development Tool: MATLAB R2024a or above
Operating System: Windows-10 (64-bit) or above
Note:
1) If the proposed plan does not fully align with your requirements, please provide all necessary details—including steps, parameters, models, and expected outcomes—in advance. Kindly ensure that any missing configurations or specifications are clearly outlined in the plan before confirming.
2) If there’s no built-in solution for what the project needs, we can always turn to reference models, customize our own, different math models or write the code ourselves to fulfil the process.
3) If the plan satisfies your requirement, Please confirm with us.
4) Project based on Simulation only.
We perform with an Existing Approach Ref 3: Underwater acoustic signal denoising model based on secondary variational mode decomposition
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