Performance Analysis of Audio Compression Using HAAR Wavelet
Implementation plan:
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Step 1: Initially, we collect and load the input audio file from workspace.
Step 2: Then, we apply the HAAR wavelet algorithm to transform the audio with µ-law compression.
Step 3: Next, we run the scripts to generate compressed outputs.
Step 4:Next, we calculate MSE, PSNR, and Compression Ratio values based on collected Audio.
Step 5: Finally, we plot performance metrics of the following
5.1 : Number of Samples Vs Mean Square Error
5.2 : Number of Samples Vs PSNR (dB)
5.3 : Number of Samples Vs Compression Ratio (%)
Software Requirements:
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1. Development Tool: Matlab-R2023a or above
2. Operating System: Windows-10 (54-bit) or above
Note:
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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.
