Performance Analysis of Turbo Codes, LDPC Codes, and Polar Codes over an AWGN Channel in the Presence of Inter Symbol Interference

This paper discusses the results of simulations relating to the performances of turbo codes, low density parity check (LDPC) codes, and polar codes over an additive white Gaussian noise (AWGN) channel in the presence of inter symbol interference, denoting the disturbances that altered the original signal. To eliminate the negative effects of inter symbol interference (ISI), an equalizer was used at the level of the receiver. Practically, two types of equalizers were used: zero forcing (ZF) and minimum mean square error (MMSE), considering the case of perfect channel estimation and the case of estimation using the least square algorithm. The performance measure used was the modification of the bit error rate compared to a given signal to noise ratio; in this sense, the MMSE equalizer offered a higher performance than the ZF equalizer. The aspect of channel equalization considered here is not novel, but there have been very few works that dealt with equalization in the context of the use of turbo codes, especially LDPC codes and polar codes for channel coding. In this respect, this research can be considered a contribution to the field of digital communications

3D Printables for Extended Reality

This work aims to show how VR related components and accessories can be created using a 3D printer. VR accessories include audio/video systems, LCD glasses, “HMDs (Head Mounted Display), BOOMs (Binocular Omni-Orientation Monitor)”, exoskeletons, tracking devices, etc. It is widely admitted that VR will play a focal function in numerous fields, but there are also some barriers. Would it be plausible to develop a streamlined process and device, produced and implemented on a local site, cheaply and rapidly, to interact with VR already existing models? This research work goes into these questions and possible resolutions

Radio Spectrum Monitoring Using the DSA815 Spectrum Analyzer

This work aims to show how the data obtained from the DSA815 spectrum analyzer can be processed. For example, the monitoring of a frequency band 91.3MHz -109.2MHz was chosen, but other frequency bands within the measurement range of the analyzer (9Hz - 1.5GHz) can also be selected. The paper presents two ways of acquiring and processing the information coming from the analyzer. The first way of acquisition is done with the help of the programs (Ultra Sigma and Ultra Spectrum), and the second way is done directly from the front panel of the device. Although the device can display certain parameters of the measured spectrum and save the image with the desired information, there are situations in which it is desired to find other parameters later. In addition, there is not always the time necessary to measure all the desired parameters. That is why the authors propose a solution by which these inconveniences can be eliminated. This solution consists of acquiring the data from the front panel of the analyzer in the form of CSV (comma-separated values) files and their subsequent processing with the MySQL (My- structured query language) program