The effect of thermal noise and shot noise on the receiver sensitivity in a digital
optical communication system will be studied and analyzed. Also, the positive and
negative effects of Parameters on the receiver sensitivity will be highlighted. Th
e
programming tools (MATLAB) is used to study the relationship between the receiver
sensitivity and bit rate. It showed that the shot-noise-limited receiver sensitivity is much
better than the thermal -noise-limited receiver sensitivity with best 30dB. The study also
provided an explanation for the preference of optical detector (APD) compared to that in
(PIN) optical detector from sensitivity side due to its internal gain, this can be achieved
when the thermal noise is dominant. However, the preference of optical detector(PIN) will
be better in case of shot noise is dominant.
Analyzed results show that there is a significant improvement in the shot-noiselimited
receiver sensitivity for high quantum efficiency and high wavelength. However, the
sensitivity is deteriorated to get a lower error rate. The thermal -noise-limited receiver
sensitivity showed an improving by increasing the responsivity and the load resistance.
However, it decreases by increasing the number of noise and the error rate.
This research offers an analyzing study for BER in OFDM system through Module
designed by matlab, the performance was tested with different modulation techniques as
PBSK, 8PBSK….
The measurement was taken at multi AWGN levels for different modulat
ion
techniques besides BER testing in Rayleigh fading channel and without Rayleigh fading
All results illustrated in suitable tables and curve.
Since Electroencephalogram (EEG) signals have very small magnitude, it's very hard
to capture these signals without having noise (produced by surrounding artifacts) affect the
real EEG signals, so it is necessary to use Filters to remove noise.
Th
is work proposes a design of an electronic circuit using a microcontroller, an
instrumentation amplifier and an operational amplifier able to capture EEG signals, convert
the captured signals from analog state to digital one and send the converted signal (digital
signal) to a group of three digital filters.
This paper gives a design of three digital elliptic filters ready to be used in real time
filtering of EEG signals (which preliminary represents the condition of the brain) making
the software part which complements the hardware part in the EEG signals capturing
system.
Finally we are going to show the way of using the designed electronic circuit with
the three designed digital filters, demonstrate and discuss the results of this work.
We have used Eagle 6.6 software to design and draw the circuit, CodeVision AVR
3.12 software to write the program downloaded on the microcontroller, Mathworks
MATLAB 2014a software to design the three digital filters and Mathworks MATLAB
2014a Simulink tool to make the appropriate experiments and get the results.
In this experimental work, the instruments used (detector, calibrating sources) has been calibrating, the calibration line of the detector deduced and it has been finding that the equation of calibration line takes the form:
The resolution power R
has been studying as function of the distance between the activity source and detector; the results obtained show that R decrease by increase the energy of the lines spectrum, this mean that the detector resolution power become bigger.
It has been measured the LC، LD and MDA using two different methods of background radiation value, trapezium method and classical method, for two different distances between radioactivity source and detector: (9,3cm) and (10cm). The results show:
1- There is similar comportment of the LC، LD and MDA in function energy and the distance between radioactivity source and detector.
2- The trapezium method gives better results from the classical method to the radiation background, and this leads to lesser MDA value, this means that the sensibility is bigger to measure this quantity.
3- The relative error using MDA is (5%) for large values, and (10%) for small values
Gamma rays
sodium iodide activated by Thallium
calibration line
resolution detector
source activity
detector efficiency
minimum detectable activity
background radiation level
أشعة غاما
كاشف يوديد الصوديوم المشوب بالتاليوم
مستقيم المعايرة
قدرة الفصل الطيفية
منبع مُشع
كفاءة كاشف
الحد الأدنى لمكشف
ضجيج خلفي
المزيد..
Breast cancer is the second leading cause of death of women in the world. The early detection gives a
better chance to cure it. Physicians diagnose breast tumors by analyzing the characteristics of the lesion in
ultrasound images. Shape data, provi
ded by a tumor contour, is important to physicians in making
diagnostic decisions. However, due to the increasing use of technology in medicine, a computer aided
detection systems (CAD) have been built to help the expert. This research focuses on using a level-set
method as an effective lesion segmentation method for breast ultrasound images. By applying non-local
means filter on image, the unwanted speckle noise will be removed and the image's important details will
be preserved. Then the initial contours are sketched using the GUI in order to apply level-set method
which delineates the contour of the lesion in breast ultrasound image. The proposed method was found to
determine the breast tumor contours that are very similar to manual-sketched contours (about 96%).
The aim of this research is to study a simplified approach for the design of low-noise bipolar
transimpedance preamplifiers for optical receivers. Analytical solutions for optimum biasing and
minimum equivalent input-noise current were derived. The
study was achieved by doing comparison
between the designed circuits. The equivalent input noise current was calculated by entering the
parameters in Matlab program and using Multisim as a simulation tool to detect a pulse signal of 30ns
width.
Noise and transport characteristics of CdTe gamma - and X-ray detectors have been carried out to
determine the 1/f noise sources and their correlation with charge carriers mobility. The noise spectral
density was measured by standard set-up. The no
ise of low ohmic samples has 1/f noise spectral
density which increases with the square of voltage. The high ohmic samples show 1/f type noise in low
frequency range. This flicker noise leads to degradation in the homogeneity of the contact. The excess
of noise changes as 1/fa , 1 a 2 at 10Hz, and it is due to the multitrapping of the CdTe. Thiscontributes to the loss in charge collection efficiency.