(An Autonomous Institution)
Develop advanced algorithms and techniques: The primary objective of the ISPRC is to develop and apply advanced algorithms and techniques for processing, analyzing, and interpreting signals. This includes improving existing methods and developing new ones to enhance the understanding of signal processing and its applications.
Improve signal processing understanding: The ISPRC aims to improve the understanding of signal processing and its applications. This involves conducting research and providing education and training opportunities to researchers and practitioners in the field.
Collaborate with industry partners, government agencies, and academic institutions: The ISPRC collaborates with various organizations to leverage their expertise and resources to enhance the development and application of signal processing techniques. These collaborations include industry partners, government agencies, and other academic institutions.
Research biomedical signal processing: The ISPRC conducts research on signal processing techniques for biomedical applications. This involves developing algorithms and techniques for processing, analyzing, and interpreting biomedical signals, such as electrocardiogram (ECG) and electroencephalogram (EEG) signals.
Develop speech and audio processing for human-computer interaction: The ISPRC focuses on developing speech and audio processing techniques for human-computer interaction. This includes developing speech recognition and natural language processing algorithms that enable humans to interact with computers using voice commands.
Advance signal processing for wireless communications: The ISPRC conducts research on signal processing techniques for wireless communications. This includes developing algorithms and techniques for processing signals in wireless communication systems, such as wireless sensor networks and mobile communication systems.
Apply machine learning for signal processing: The ISPRC applies machine learning techniques to enhance signal processing. This includes developing machine learning algorithms that can learn from data to improve the accuracy and efficiency of signal processing techniques.