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Using the audiorecorder() function in MATLAB, make a recording of your voice. Use a sample rate of 8kHz, 16 bits per sample, and aim to record around 2 seconds worth.
Quantize the audio samples down from the original 16 bits by removing the least-significant bit (LSB) from the waveform, to make a 15 bit recording. Repeat for 14, 13, 12 bits, down to 1 bit.
Explain how you would do this in MATLAB, and implement your approach.
Listen to the recordings, and make a table with the number of bits and the corresponding quality assessment. This can simply be a subjective assessment; use terms such as 'no perceptual difference', 'minor noise present', 'quite noisy', 'poor quality' etc.
Calculate the signal-to-noise ratio in each case, and add that to your table. Explain how you calculated the SNR.
Hi, I am looking for an expert in matlab and statistic. I would like to learn how to do correlation and PCA Analysis using my data set in Chat or via Screen sharing. Is it possible
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I would like to get a matlab code that shifts a given signal by 12.5 ms (to get 80 Hz response) and take the last segment (12.5 ms) and put it in the gap that is made by the shift.
hw to provide pulses to the pulse generator by seeing the gating wave forms ?
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Background Protein therapeutics are a major component of the biotechnology industry, with sales estimated in the range of ~$99bn annually (2011) and steady market growth. Many phar
I have an assignment due on Friday about Monte Carlo Simulation using Matlab or excel. Please let me know if you can help me or not asap Thank you
Consider the M/D/1/n queue (finite waiting room, that is, a buffer with n waiting positions). Write a simulation program for this model, and compare the simulation results with th
how to localize an event using hyperbolas and how to plot the hyperbola having equation (((x-x1)^2+(y-y1)^2)/a^2)-(((x-x2)^2+(y-y2)^2)/b^2)=1?
The scope of work is to investigate and report PID tuning methods and to confirm their suitability for 2nd and 3rd Order Servo Mechanisms on a simulated system model utilising Matl
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