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R&D: DSP Preseantation

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Jia Jie Pang

on 21 February 2017

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Transcript of R&D: DSP Preseantation

Pang Jia Jie
Chan Wan Rong
Ben Ho See Cheng
Digital Signal Processing (DSP) Application Development
Theoretical Knowledge
Supervisor: Dr Patrick Fung
Original frequency (8s) - 1/8 Hz
Sampling frequency (7s) - 1/7 Hz
Sampling frequency (4s) - 1/4 Hz
Sampling frequency (3s) - 1/3 Hz

1/8 Hz x 2 (Nyquist rate)
= 1/4 Hz < 1/3 Hz (sampling frequency
Under sampling in our everyday lives
There are also the professional quality audio recording.
The sampling rate for this type of audio recording is 48kHz.
Reasons as to why the need for such high quality recording is to enhance the clarity of the audio signal.
Audio Recording (Professional quality)
With the adoption of digital media, most audio recording are done digitally at a sampling rate of 44.1kHz
Reason for the sampling rate of 44.1kHz is that a normal human ear can only hear audio signal of frequencies between 20Hz to 20kHz
Audio Recording
Audio Recordings (CD quality and professional quality recordings)
Digital Radio Receiver.
Application of DSP
But how does it work???
An operation which processes samples of a signal for a particular application.
Digital Signal Processing
To apply what we learn, the fundamentals of DSP, to the development of algorithms for audio and video processing, as well as to implement it on MATLAB and/or other Digital Signal Processor.
Purpose of Project
Schedule of Project
3 Main Components of DSP
Any band-limited signal can be perfectly reconstructed from samples taken depending on the sampling frequency
Sampling frequency above the Nyquist rate, it is known as oversampling.
Oversampling would produce more accurate results of the signal but this is less effective
Sampling frequency below the Nyquist rate, it is known as undersampling and a distortion effect called aliasing would occur.
Sampling theorem
Sampling Theorem provides the possible means of reconstructing, or recovering, an audio signal from its discrete samples.
If the sampling rate is more than the Nyquist rate, the signal would be made up of two parts, the scaled version of the frequency and the modulated copies of the source signal.
From there, we’ll use the reconstruction function, which is also known as the sinc function to reconstruct the signal.
Digital Radio Receiver
While the targeted radio signal usually resides in a finite frequency band, the antenna picks up signals of all frequencies in the air.
A down conversion will be done from the radio frequency.
Then the baseband signal
would be fed into an
anti-aliasing filter.
Finally, the signal would then be sampled by the ADC.
Nyquist rate = 2 times of the highest frequency in the analogue signal
Sampling frequency > Nyquist rate, recovery of the analogue signal is possible
Nyquist rate
Aliasing is the illusion of frequency reduction caused by undersampling
Full transcript