Question: Q1) A wavelet denoising by thresholding is used for the noisy discrete-time signal given the sampled sequence: x(n) = [0 -1 5 4 -1 5

Q1) A wavelet denoising by thresholding is used for the noisy

Q1) A wavelet denoising by thresholding is used for the noisy discrete-time signal given the sampled sequence: x(n) = [0 -1 5 4 -1 5 -3 -2] If a 2-level Haar discrete wavelet decomposition with a threshold level of |= 1.5 is applied for all detail coefficients, compute the approximation coefficient and all detail coefficients before and after thresholding. Q1) A wavelet denoising by thresholding is used for the noisy discrete-time signal given the sampled sequence: x(n) = [0 -1 5 4 -1 5 -3 -2] If a 2-level Haar discrete wavelet decomposition with a threshold level of |= 1.5 is applied for all detail coefficients, compute the approximation coefficient and all detail coefficients before and after thresholding

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