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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.
the solution for 3. dV/dt = NkI - ?V
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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
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Good day! I am new to neural networks and also in Matlab nnet toolbox. Basically, I want to implement a backpropagation feedforward supervised neural network for prdacting Quality
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