The research will discuss the topic of the low-pass filter. The scope of the research will encompass data obtained throughout the experiment of the researchers, sample graphs of a low-pass filter, theory and background present, and analysis of data and results. Besides, the research will also look into a software program called Multisim to observe the behavior of a low-pass filter more accurately. This topic was chosen as this is the type of filter that the researchers are most familiar with. Furthermore, this type of filter was used in many audio applications in which it can eliminate background noise, remove specific frequencies in data analysis, radio tuning, and many more. Hence, this type of filter becomes known as high-cut or treble cut filters. This familiarity is a result of each group member's prior experience and studies throughout the course.
It is expected from this paper that Active filters will be discussed in detail and strengthened with examples. There will be explanations on the different types of this filter, and also the different passes, which will show what the signal will or will not have. The concept and theory behind the filters will also be discussed, as to give a proper introduction to filters. Data concerning the differences among these types will be evidence to prove and demonstrate how the filters can affect the signal in different situations. Lastly, the paper will explain how a filter is used and how it works. The numerous applications behind filters and how they affect signals will show how important they can be to clean and remove unnecessary parts of said signal. Hence, the paper will be separated in a certain way, with the initial half explaining the general information behind it, and the second half explaining in further detail and giving some data to enhance the envision of the filter.
Advanced wireless communications technology available today requires smart antennas. The design of the antenna is the most important aspect to make a feasible signal transmission. Parameters of the antenna depend on the design of the antenna. This study tackles the idea of a smart antenna system model with low-power consumption. This study proposes a model for a low-power smart antenna. The presented model includes components such as microcontroller to achieve a low power model. The paper presents the simulation and model design of this system.
This research will focus on the creation of a simulated real-time ECG signal transmission Algorithm. A MATLAB program would be created to implement the algorithm and monitor the heart rate of the patient. The study focuses on the implementation of Electrocardiograms (ECG) through simulation and would receive the data through a transmitter to a receiver in real-time. The researchers tackled this topic because of its timeliness in present time society wherein most people neglect their physical health. The researchers will solve this problem through a simulation of an ECG signal using the Matrix Laboratory (MATLAB) software. The system will utilize an ECG sampled signal that was converted digitally so that it could be manipulated by MATLAB. An FSK line encoder will be used, and an additive white Gaussian noise will be applied to simulate real-life noise. The expected results will show that the simulation that will be carried out will create an accurate result with a good signal resolution. This study will prove that the MATLAB software is capable of transmitting and receiving ECG signals.
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