Question 6: Consider a sequence x[n]={the first eight digits of your student number} (Note: As an example: x[n]={2 0 0 2 1 1 1 1}) Determine the DFT X[k] of x[n] using the decimation-in-time FFT algorithm. (Note: Please show each calculation step. The solution must include intermediate steps for taking into evaluation.)
Quantization and Resolution
Quantization is a methodology of carrying out signal modulation by the process of mapping input values from an infinitely long set of continuous values to a smaller set of finite values. Quantization forms the basic algorithm for lossy compression algorithms and represents a given analog signal into digital signals. In other words, these algorithms form the base of an analog-to-digital converter. Devices that process the algorithm of quantization are known as a quantizer. These devices aid in rounding off (approximation) the errors of an input function called the quantized value.
Probability of Error
This topic is widely taught in many undergraduate and postgraduate degree courses of:
please solve quickly and clearly -Signal processing topic
![Question 6: Consider a sequence
x[n]={the first eight digits of your student number}
(Note: As an example: x[n]={2 0 0 2 1 1 1 1})
Determine the DFT X[k] of x[n] using the decimation-in-time FFT algorithm.
(Note: Please show each calculation step. The solution must include intermediate steps for
taking into evaluation.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F66812d57-407d-495b-adda-b8b4198f2c68%2Fc2cfd4a9-6c03-4df1-bcf2-3421530cb846%2Fi3m9tl5_processed.png&w=3840&q=75)
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