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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.
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Create a Matlab function called question3 which finds the root of an equation numerically by using the following recursive formula: xn+1 = x n – f(x n)/g(x n) , for n =1,2,3,……
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This question examines the addition of a (synthetic) echo to the voice recording, such as would be found in a reverberant room. To do this, use a difference equation of the form
create neural network of 1 layer 3 neurons and logsigmoid transfer function
I have dataset that is divided to 70 as training and 30 percent as testing and I need to implement ANFIS using matlab what I need : 1- ANFIS - Zero order or constant output - back
g(x) = (x) – 3
poligono de frecuencias
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