We were taught the basic arithmethic and logical operations using the procedure of how to program a DSP processor and we saw various arithmethic and logical syntaxes. We learnt addition, subtraction , multiplication , division and logical shift left,right etc.
DSPP LAB
Monday, 24 April 2017
Digital FIR filter design using windowing method
In this experiment we had to design a digital filter using windowing technique and study the spectrum of the filter .We learnt that in the magnitude response of the FIR filter there we ripples present in the stopband of LPF. For BPF and LPF the phase response is linear and the values of Ap and As almost match according to the window used by us.
Sunday, 23 April 2017
Digital FIR filter design using frequency sampling method (FSM)
From this experiment we learnt that phase response will be the same for LPF and HPF depending on whether the orders are kept same . Also the values of Ap and As have been verified . 5 parameters namely attenuation in both pass band and
stop band in dB, pass band and stop band frequency in Hz and sampling frequency in
Hz were taken from the user.
Digital Chebyshev Filter Design
In this experiment we had to design a Digital Chebyshev Filter from Analog Chebyshev Filter BLT.
From the experiment we learnt that for an LP Digital Chebyshev Filter the ripples are present in the passband whereas the stopband is monotonic and vice versa for HP Digital Chebyshev Filter. Also in both the high pass and low pass filter, poles are present inside the unit circle , hence they are stable. For LPF there is definite zero at z=-1 while for HPF there is a definite zero at z=1.
The values of Ap and As as i/ps are tallied.
Digital Butterworth filter
In this experiment we had to design a digital filter from analog filter and study the aliasing effect due to sampling in Impulse Invariant Method and the frequency warping effect in BLT method .
So after obtaining the results we learn that analog LPF poles lie on the LHS of the s- plane and digial LPF poles lie inside the unit circle . Hence both analog and digital butterworth LPF are stable .
Patent Review:Audio signal extraction and Correlation
Patent Publication No:US 20050232411 A1.
Audio signature extraction, basically describes a method to detect a specific program or channel on basis of a unique key signature. This is used in television sets to identify various channel. The signature can be sent with data or when frame transmission is offline. The easiest method to implement this is using correlation. An incoming time domain moment can be captured and correlated with a stored reference signal to identify whether it belongs to a specific channel or not.
This patent includes 50 claims which include the methods of deriving the signal by segregating them into blocks and finding their spectral moments. At least one of these spectral moments is then converted into the signature.
IEEE paper review: Design of Audio Signal Processing and Display System Based on SoC
In this paper, the authors have realised an efficient way of audio processing by using the functionalities of a designed system on chip. They have used a Xilinx-sync 7000 development platform for the same.
In the market survey before this paper there was only the existence of audio processing techniques divided into two parts namely-Firstly, audio data acquisition and playback based on ARM and Secondly audio data acquisition using DSP or FPGA. ARM has good control but is slow and not good for signal processing whereas FPGA is fast and has parallel processing capabilities and is fast but has very less control.
Hence a system on chip with both features for real time data processing.The system takes in an external input and then at the output we receive rock, pop, classical etc types of music. The ARM part is responsible for control of software and FPGA processes the audio data.
This processed audio data is segregated into different frequency segments and after their gain processing we get different types of music. Hence this hardware software combination on one chip implements clear efficient audio processing techniques.
Link: http://ieeexplore.ieee.org/document/7490868/.
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