Papers by Adedotun Owojori
Optimization of digital filter structure enhances its speed, reduces the filter length and filter... more Optimization of digital filter structure enhances its speed, reduces the filter length and filter coefficients which invariably lower the power consumption of the mobile devices. Reducing the filter operators as well as the coefficients reduces the filter redundancy. This improves the computational performance of the system in terms of memory utilization, bandwidth consumption and power usage. Farrow differential algorithm has improvement over the other existing algorithm such as farrow algorithm and differential algorithm. The algorithm was designed using Altera Digital Signal Processing tool box in MATLAB/ Simulink environment. When implemented it leads to reduction in the computational complexity, power consumption and silicon area. The decimation factor of 260 for a frequency range of 270.70 kHz was used. It also showed that a power gain of 83 dBm was observed as output for the poly-phase farrow differential algorithm compared to polyphase modified farrow with power level of 98dB and polyphase farrow algorithm with power rating of 140dB. Thus a remarkable lower power gain, lower complexity and lower power consumption in mobile system was obtained when compared to polyphase farrow polynomial algorithm and modified farrow algorithm.
This paper focused on the design of a digital front end channelizer useful in most software defin... more This paper focused on the design of a digital front end channelizer useful in most software defined radios with the aim of exploiting the vast resources of digital signal processing which helps to achieve a portable, long lasting with extraordinary computational complexity software application that is capable of running at a lower power budget. Three channelization algorithms: per-channel, pipeline frequency transform and poly-phase fast Fourier transform uniform channelization algorithms were reviewed and designed for FM receivers using Altera Digital Signal Processing tool box in MATLAB/Simulink environment. The performance evaluation of the three algorithms were carried out with the estimation of the multiplication per input samples of operation of the system, signal strength level or signal to noise ratio and the compilation time of each algorithm. The result showed that the polyphase fast Fourier transforms and pipeline frequency transform had 24% decrease in computational requirement compared to per-channel which suggest a lower power consumption. Whereas, polyphase fast Fourier transform out performs pipeline frequency transform in terms of silicon cost.
Reduction in hardware complexities is vital in communication. The major contribution to hardware ... more Reduction in hardware complexities is vital in communication. The major contribution to hardware complexity in many technologies is the multiplier utilized. This work present a proposed algorithm based on Farrow differential polynomial interpolation. This interpolator filter is a time varying poly-phase filter that uses fractional delay to reduce the integer sampling rates to fractional rates. It is a novel polynomial interpolator with less multiplier usage and inherent linear phase low pass filter. The digitized intermediate frequency (IF) by ADC is derived from mixing the signal RF with a local oscillator signal of a given fixed/variable frequency. Digitization using an analog to digital converter (ADC) capable of running at a sampling time of greater or twice the IF with maximum dynamic range of 100 MHz [This is contrary to the direct down conversion of multiband RF to band pass signals where under sampling is used. The algorithm was designed using Altera Digital Signal Processing tool box in MATLAB/ Simulink environment. When implemented it leads to reduction in the computational complexity, power consumption and silicon area. It also showed that a power gain of-15 dBm was observed as output for the GSM channel when compared with the existing modified farrow algorithms which have power gain of-9.4dBm and farrow polynomial algorithms with power gain of 10.59dBm. The decimation factor of 260 for a frequency range of 270.70 kHz was used. Thus a remarkable lower power gain, lower complexity and lower power consumption in mobile system was obtained when compared to farrow polynomial algorithm and modified farrow algorithm.
Considering a system capable of identifying abnormalities in people's walking conditions in real-... more Considering a system capable of identifying abnormalities in people's walking conditions in real-time, simply by studying his/her walking profile over a short period of time is a phenomenal breakthrough in the field of biotechnology. Such abnormalities could be as a result of injury, old age, or disease termed gait which could be analyzed using the pressure mapping technology. Pressure points in the feet of an injured person as he/she walks is analyzed by sets of sensors (capacitive sensors) carefully design with a rectangular 5.1cm by 2cm parallel aluminium plate and placed on developed footwear with a uniform distance of 1cm across the dielectric material. The output of the pre-processing stage gives varying values which are calibrated and sent to the microcontroller. All placed on a portable sized Printed Circuit Board (PCB) making it moveable from one place to another (that is, mobile), is the pre-processing circuit that converts measured or evaluated result to the transmittable signal through a Mobile Communication System which can be received on a Personal Computer (PC) in form of a periodic chat and/ or report. The result of the analysis is shown both in simulation and hardware implementation of the system
Optimization of digital filter structure enhances its speed, reduces the filter length and filter... more Optimization of digital filter structure enhances its speed, reduces the filter length and filter coefficients which invariably lower the power consumption of the mobile devices. Reducing the filter operators as well as the coefficients reduces the filter redundancy. This improves the computational performance of the system in terms of memory utilization, bandwidth consumption and power usage. Farrow differential algorithm has improvement over the other existing algorithm such as farrow algorithm and differential algorithm. The algorithm was designed using Altera Digital Signal Processing tool box in MATLAB/ Simulink environment. When implemented it leads to reduction in the computational complexity, power consumption and silicon area. The decimation factor of 260 for a frequency range of 270.70 kHz was used. It also showed that a power gain of 83 dBm was observed as output for the poly-phase farrow differential algorithm compared to polyphase modified farrow with power level of 98dB and polyphase farrow algorithm with power rating of 140dB. Thus a remarkable lower power gain, lower complexity and lower power consumption in mobile system was obtained when compared to polyphase farrow polynomial algorithm and modified farrow algorithm.
This paper focused on the design of a digital front end channelizer useful in most software defin... more This paper focused on the design of a digital front end channelizer useful in most software defined radios with the aim of exploiting the vast resources of digital signal processing which helps to achieve a portable, long lasting with extraordinary computational complexity software application that is capable of running at a lower power budget. Three channelization algorithms: per-channel, pipeline frequency transform and poly-phase fast Fourier transform uniform channelization algorithms were reviewed and designed for FM receivers using Altera Digital Signal Processing tool box in MATLAB/Simulink environment. The performance evaluation of the three algorithms were carried out with the estimation of the multiplication per input samples of operation of the system, signal strength level or signal to noise ratio and the compilation time of each algorithm. The result showed that the polyphase fast Fourier transforms and pipeline frequency transform had 24% decrease in computational requirement compared to per-channel which suggest a lower power consumption. Whereas, polyphase fast Fourier transform out performs pipeline frequency transform in terms of silicon cost.
Reduction in hardware complexities is vital in communication. The major contribution to hardware ... more Reduction in hardware complexities is vital in communication. The major contribution to hardware complexity in many technologies is the multiplier utilized. This work present a proposed algorithm based on Farrow differential polynomial interpolation. This interpolator filter is a time varying poly-phase filter that uses fractional delay to reduce the integer sampling rates to fractional rates. It is a novel polynomial interpolator with less multiplier usage and inherent linear phase low pass filter. The digitized intermediate frequency (IF) by ADC is derived from mixing the signal RF with a local oscillator signal of a given fixed/variable frequency. Digitization using an analog to digital converter (ADC) capable of running at a sampling time of greater or twice the IF with maximum dynamic range of 100 MHz [This is contrary to the direct down conversion of multiband RF to band pass signals where under sampling is used. The algorithm was designed using Altera Digital Signal Processing tool box in MATLAB/ Simulink environment. When implemented it leads to reduction in the computational complexity, power consumption and silicon area. It also showed that a power gain of -15 dBm was observed as output for the GSM channel when compared with the existing modified farrow algorithms which have power gain of -9.4dBm and farrow polynomial algorithms with power gain of 10.59dBm. The decimation factor of 260 for a frequency range of 270.70 kHz was used. Thus a remarkable lower power gain, lower complexity and lower power consumption in mobile system was obtained when compared to farrow polynomial algorithm and modified farrow algorithm.
European Journal of Electrical and Computer Engineering (EJECE), 2019
Considering a system capable of identifying abnormalities in people's walking conditions in real-... more Considering a system capable of identifying abnormalities in people's walking conditions in real-time, simply by studying his/her walking profile over a short period of time is a phenomenal breakthrough in the field of biotechnology. Such abnormalities could be as a result of injury, old age, or disease termed gait which could be analyzed using the pressure mapping technology. Pressure points in the feet of an injured person as he/she walks is analyzed by sets of sensors (capacitive sensors) carefully design with a rectangular 5.1cm by 2cm parallel aluminium plate and placed on developed footwear with a uniform distance of 1cm across the dielectric material. The output of the pre-processing stage gives varying values which are calibrated and sent to the microcontroller. All placed on a portable sized Printed Circuit Board (PCB) making it moveable from one place to another (that is, mobile), is the pre-processing circuit that converts measured or evaluated result to the transmittable signal through a Mobile Communication System which can be received on a Personal Computer (PC) in form of a periodic chat and/ or report. The result of the analysis is shown both in simulation and hardware implementation of the system
Optimization of digital filter structure enhances its speed, reduces the filter length and filter... more Optimization of digital filter structure enhances its speed, reduces the filter length and filter coefficients which invariably lower the power consumption of the mobile devices. Reducing the filter operators as well as the coefficients reduces the filter redundancy. This improves the computational performance of the system in terms of memory utilization, bandwidth consumption and power usage. Farrow differential algorithm has improvement over the other existing algorithm such as farrow algorithm and differential algorithm. The algorithm was designed using Altera Digital Signal Processing tool box in MATLAB/ Simulink environment. When implemented it leads to reduction in the computational complexity, power consumption and silicon area. The decimation factor of 260 for a frequency range of 270.70 kHz was used. It also showed that a power gain of 83 dBm was observed as output for the poly-phase farrow differential algorithm compared to polyphase modified farrow with power level of 98dB and polyphase farrow algorithm with power rating of 140dB. Thus a remarkable lower power gain, lower complexity and lower power consumption in mobile system was obtained when compared to polyphase farrow polynomial algorithm and modified farrow algorithm.
This paper focused on the design of a digital front end channelizer useful in most software defin... more This paper focused on the design of a digital front end channelizer useful in most software defined radios with the aim of exploiting the vast resources of digital signal processing which helps to achieve a portable, long lasting with extraordinary computational complexity software application that is capable of running at a lower power budget. Three channelization algorithms: per-channel, pipeline frequency transform and poly-phase fast Fourier transform uniform channelization algorithms were reviewed and designed for FM receivers using Altera Digital Signal Processing tool box in MATLAB/Simulink environment. The performance evaluation of the three algorithms were carried out with the estimation of the multiplication per input samples of operation of the system, signal strength level or signal to noise ratio and the compilation time of each algorithm. The result showed that the polyphase fast Fourier transforms and pipeline frequency transform had 24% decrease in computational requirement compared to per-channel which suggest a lower power consumption. Whereas, polyphase fast Fourier transform out performs pipeline frequency transform in terms of silicon cost.
Reduction in hardware complexities is vital in communication. The major contribution to hardware ... more Reduction in hardware complexities is vital in communication. The major contribution to hardware complexity in many technologies is the multiplier utilized. This work present a proposed algorithm based on Farrow differential polynomial interpolation. This interpolator filter is a time varying poly-phase filter that uses fractional delay to reduce the integer sampling rates to fractional rates. It is a novel polynomial interpolator with less multiplier usage and inherent linear phase low pass filter. The digitized intermediate frequency (IF) by ADC is derived from mixing the signal RF with a local oscillator signal of a given fixed/variable frequency. Digitization using an analog to digital converter (ADC) capable of running at a sampling time of greater or twice the IF with maximum dynamic range of 100 MHz [This is contrary to the direct down conversion of multiband RF to band pass signals where under sampling is used. The algorithm was designed using Altera Digital Signal Processing tool box in MATLAB/ Simulink environment. When implemented it leads to reduction in the computational complexity, power consumption and silicon area. It also showed that a power gain of -15 dBm was observed as output for the GSM channel when compared with the existing modified farrow algorithms which have power gain of -9.4dBm and farrow polynomial algorithms with power gain of 10.59dBm. The decimation factor of 260 for a frequency range of 270.70 kHz was used. Thus a remarkable lower power gain, lower complexity and lower power consumption in mobile system was obtained when compared to farrow polynomial algorithm and modified farrow algorithm.
European Journal of Electrical and Computer Engineering (EJECE), 2019
Considering a system capable of identifying abnormalities in people's walking conditions in real-... more Considering a system capable of identifying abnormalities in people's walking conditions in real-time, simply by studying his/her walking profile over a short period of time is a phenomenal breakthrough in the field of biotechnology. Such abnormalities could be as a result of injury, old age, or disease termed gait which could be analyzed using the pressure mapping technology. Pressure points in the feet of an injured person as he/she walks is analyzed by sets of sensors (capacitive sensors) carefully design with a rectangular 5.1cm by 2cm parallel aluminium plate and placed on developed footwear with a uniform distance of 1cm across the dielectric material. The output of the pre-processing stage gives varying values which are calibrated and sent to the microcontroller. All placed on a portable sized Printed Circuit Board (PCB) making it moveable from one place to another (that is, mobile), is the pre-processing circuit that converts measured or evaluated result to the transmittable signal through a Mobile Communication System which can be received on a Personal Computer (PC) in form of a periodic chat and/ or report. The result of the analysis is shown both in simulation and hardware implementation of the system
This paper focused on the design of a digital front end
channelizer useful in most software defin... more This paper focused on the design of a digital front end
channelizer useful in most software defined radios with the
aim of exploiting the vast resources of digital signal
processing which helps to achieve a portable, long lasting
with extraordinary computational complexity software
application that is capable of running at a lower power budget.
Three channelization algorithms: per-channel, pipeline
frequency transform and poly-phase fast Fourier transform
uniform channelization algorithms were reviewed and
designed for FM receivers using Altera Digital Signal
Processing tool box in MATLAB/Simulink environment. The
performance evaluation of the three algorithms were carried
out with the estimation of the multiplication per input samples
of operation of the system, signal strength level or signal to
noise ratio and the compilation time of each algorithm. The
result showed that the polyphase fast Fourier transforms and
pipeline frequency transform had 24% decrease in
computational requirement compared to per-channel which
suggest a lower power consumption. Whereas, polyphase fast
Fourier transform out performs pipeline frequency transform
in terms of silicon cost.
Reduction in hardware complexities is vital in
communication. The major contribution to hardware... more Reduction in hardware complexities is vital in
communication. The major contribution to hardware
complexity in many technologies is the multiplier utilized.
This work present a proposed algorithm based on Farrow
differential polynomial interpolation. This interpolator filter is
a time varying poly-phase filter that uses fractional delay to
reduce the integer sampling rates to fractional rates. It is a
novel polynomial interpolator with less multiplier usage and
inherent linear phase low pass filter. The digitized
intermediate frequency (IF) by ADC is derived from mixing
the signal RF with a local oscillator signal of a given
fixed/variable frequency. Digitization using an analog to
digital converter (ADC) capable of running at a sampling time
of greater or twice the IF with maximum dynamic range of
100 MHz [This is contrary to the direct down conversion of
multiband RF to band pass signals where under sampling is
used. The algorithm was designed using Altera Digital Signal
Processing tool box in MATLAB/ Simulink environment.
When implemented it leads to reduction in the computational
complexity, power consumption and silicon area. It also
showed that a power gain of -15 dBm was observed as output
for the GSM channel when compared with the existing
modified farrow algorithms which have power gain of 9.4dBm
and
farrow
polynomial
algorithms
with
power
gain
of
10.59dBm.
The decimation factor of 260 for a frequency
range of 270.70 kHz was used. Thus a remarkable lower
power gain, lower complexity and lower power consumption
in mobile system was obtained when compared to farrow
polynomial algorithm and modified farrow algorithm.
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Papers by Adedotun Owojori
channelizer useful in most software defined radios with the
aim of exploiting the vast resources of digital signal
processing which helps to achieve a portable, long lasting
with extraordinary computational complexity software
application that is capable of running at a lower power budget.
Three channelization algorithms: per-channel, pipeline
frequency transform and poly-phase fast Fourier transform
uniform channelization algorithms were reviewed and
designed for FM receivers using Altera Digital Signal
Processing tool box in MATLAB/Simulink environment. The
performance evaluation of the three algorithms were carried
out with the estimation of the multiplication per input samples
of operation of the system, signal strength level or signal to
noise ratio and the compilation time of each algorithm. The
result showed that the polyphase fast Fourier transforms and
pipeline frequency transform had 24% decrease in
computational requirement compared to per-channel which
suggest a lower power consumption. Whereas, polyphase fast
Fourier transform out performs pipeline frequency transform
in terms of silicon cost.
communication. The major contribution to hardware
complexity in many technologies is the multiplier utilized.
This work present a proposed algorithm based on Farrow
differential polynomial interpolation. This interpolator filter is
a time varying poly-phase filter that uses fractional delay to
reduce the integer sampling rates to fractional rates. It is a
novel polynomial interpolator with less multiplier usage and
inherent linear phase low pass filter. The digitized
intermediate frequency (IF) by ADC is derived from mixing
the signal RF with a local oscillator signal of a given
fixed/variable frequency. Digitization using an analog to
digital converter (ADC) capable of running at a sampling time
of greater or twice the IF with maximum dynamic range of
100 MHz [This is contrary to the direct down conversion of
multiband RF to band pass signals where under sampling is
used. The algorithm was designed using Altera Digital Signal
Processing tool box in MATLAB/ Simulink environment.
When implemented it leads to reduction in the computational
complexity, power consumption and silicon area. It also
showed that a power gain of -15 dBm was observed as output
for the GSM channel when compared with the existing
modified farrow algorithms which have power gain of 9.4dBm
and
farrow
polynomial
algorithms
with
power
gain
of
10.59dBm.
The decimation factor of 260 for a frequency
range of 270.70 kHz was used. Thus a remarkable lower
power gain, lower complexity and lower power consumption
in mobile system was obtained when compared to farrow
polynomial algorithm and modified farrow algorithm.
channelizer useful in most software defined radios with the
aim of exploiting the vast resources of digital signal
processing which helps to achieve a portable, long lasting
with extraordinary computational complexity software
application that is capable of running at a lower power budget.
Three channelization algorithms: per-channel, pipeline
frequency transform and poly-phase fast Fourier transform
uniform channelization algorithms were reviewed and
designed for FM receivers using Altera Digital Signal
Processing tool box in MATLAB/Simulink environment. The
performance evaluation of the three algorithms were carried
out with the estimation of the multiplication per input samples
of operation of the system, signal strength level or signal to
noise ratio and the compilation time of each algorithm. The
result showed that the polyphase fast Fourier transforms and
pipeline frequency transform had 24% decrease in
computational requirement compared to per-channel which
suggest a lower power consumption. Whereas, polyphase fast
Fourier transform out performs pipeline frequency transform
in terms of silicon cost.
communication. The major contribution to hardware
complexity in many technologies is the multiplier utilized.
This work present a proposed algorithm based on Farrow
differential polynomial interpolation. This interpolator filter is
a time varying poly-phase filter that uses fractional delay to
reduce the integer sampling rates to fractional rates. It is a
novel polynomial interpolator with less multiplier usage and
inherent linear phase low pass filter. The digitized
intermediate frequency (IF) by ADC is derived from mixing
the signal RF with a local oscillator signal of a given
fixed/variable frequency. Digitization using an analog to
digital converter (ADC) capable of running at a sampling time
of greater or twice the IF with maximum dynamic range of
100 MHz [This is contrary to the direct down conversion of
multiband RF to band pass signals where under sampling is
used. The algorithm was designed using Altera Digital Signal
Processing tool box in MATLAB/ Simulink environment.
When implemented it leads to reduction in the computational
complexity, power consumption and silicon area. It also
showed that a power gain of -15 dBm was observed as output
for the GSM channel when compared with the existing
modified farrow algorithms which have power gain of 9.4dBm
and
farrow
polynomial
algorithms
with
power
gain
of
10.59dBm.
The decimation factor of 260 for a frequency
range of 270.70 kHz was used. Thus a remarkable lower
power gain, lower complexity and lower power consumption
in mobile system was obtained when compared to farrow
polynomial algorithm and modified farrow algorithm.