This repository cotains exercises done during a course of signal processing.
Use fast Fourier transformation for perform spectral analysis of audio recordings to determine the frequency of a sound. The goal was to guess which guitar string was played and compute the tone accuracy in cents, taking the theoretical frequency as a point of reference.
Scalling images using FFT and comparing the method with other techniques. Subsampling for downscaling and linear interpolation in space domain for upscaling.
Finite Impulse Response (FIR) filters and Infinite Impulse Response (IIR) filtes for audio filtering. Filtering images with Gradient, Sobel, Averaging and Gaussian filters.
Noise spectrum density estimation and Wiener filtering.
Audio denoising using spectral substraction method.
Image denoising using hard thresholding and soft thresholding in the wavelet domain. Image denoising by translation invariant wavelet transform was discussed.
Image denoising in wavelet domain and audio signal declipping.