Bit Error Rate (BER) is a principle measure of data transmission link performance. BER tester (BERT) consists of a Pattern Generator and an Analyzer that can be set to the same pattern. The payload data transmitted from the spacecraft consists of one, two or three channels per carrier based on the modulation scheme. The traditional equipments can do BER analysis for only one channel at a time. In order to support multichannel BER analysis, a Personal Computer (PC) based system is designed and implemented in Altera Stratix II (EP2S130F1508C5N) FPGA. Ethernet is configured using WIZnet 5300 (Ethernet Controller) and it is used for communication between FPGA and PC with an application. Application is used to transmit the Pattern Generator’s configurations from PC to FPGA and to receive Analyzer’s status. Packet processing is done for this communication using User Datagram protocol (UDP). On the whole, traditional equipments are replaced by the designed and implemented bit error rate tester.
Automated note-taking software uses machine learning and natural language processing to transcribe spoken words from audio recordings. In the current fast-paced environment, individuals and organisations regularly have to manage enormous amounts of data in the form of audio recordings, video recordings, and text documents. The manual summarization and transcription of such data can be laborious and time-consuming. This problem has been resolved by automated note-taking software for audio recordings. Natural language processing (NLP) and machine learning techniques are used by these technologies to transform spoken words into text, which is subsequently used to build a summary or set of notes. This project report looks at the effectiveness and utilisation of automated note-taking software for audio recordings.To transform the audio recordings of online classes into text-based PDF or Word documents, which are voice-based in correctness, a module for automated notes creator from audio recordings is shown in this presentation.
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