Designing and Implementing Audio Sampling Rate Conversion in MATLAB
This project explores the design and implementation of filtering techniques for audio sampling rate conversion (SRC) using MATLAB. We analyze input audio signals, applying upsampling and downsampling to modify sample rates. The process involves plotting the spectrum at various stages, including filtering to avoid aliasing. By maintaining audio quality throughout SRC, we aim to recover the original signal effectively. This hands-on project with a graphical user interface will deepen understanding of filtering methods and their application in real-world audio systems.
Designing and Implementing Audio Sampling Rate Conversion in MATLAB
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Presentation Transcript
Decimation filter design Advisor: Prof. Ahmed Eltawil Mentor: AmrHussien Student: Abdulatif - Faisal - Mohammed • This is the inserted signal .This is the signal after upsampling and we • observe the increasing of sample rate. • This is the signal after downsampling This is the output signal and we observe • and we observe the decreasing that we can recover the original signal. • of sample rate. • R • J • First we insert an input audio sound saved in computer or we can use the microphone and insert our voice and plot the spectrum. • Then the input will go into the upsampling block and add zeros for the original signal and plot the spectrum. • Use a filter to avoid aliasing and plot the spectrum • We do downsampling to the signal and plot the spectrum. • Test the output audio sound. Different audio sound systems use different rates (e.g. 44.1 , 48 and 96 KHz) . Conversion operation is carried out through upsampling , downsampling or both in case of a rational value SRC. X[n] Xe[n] Xi[n] Xr[n] Xd[n] Motivation Main Idea Results decimator interpolator Lowpass filter Gain = 1 Cutoff = ᴨ /M Lowpass filter Gain = L Cutoff = ᴨ /L M Hv M L F Learn how to design and implement filters with design specifications . Be familiar with different kinds of windows used in filtering . Convert the sampling rate of a digital signal from one value to another (SRC). Apply the idea to an audio system. Maintain the quality of the audio sound after re-sampling . Study the trade-offs of different filtering techniques. Project Objective MATLAB Graphical user interface. Tools/Testbed • Different kind of window have different performance. • Filters are useful to remove the noise from signal. • Choosing filter is maintain the quality of audio sound. • We can recover the original signal by using SRC Conclusions
