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Engineering

Signal Processing at IgMin Research | Engineering Group

Our goal is to facilitate an environment of cross-disciplinary interaction for greater progress.

について

Signal Processing is a pivotal field in modern engineering that focuses on the analysis, manipulation, and interpretation of signals to extract meaningful information. The world is full of signals – from audio and video signals in our everyday communication to medical signals that aid in diagnosis and monitoring. Signal processing techniques play a crucial role in transforming raw data into valuable insights across various domains, such as telecommunications, image and video processing, audio analysis, and more.

In the ever-evolving landscape of technology, Signal Processing serves as the backbone for advancements in fields like machine learning, artificial intelligence, and data analytics. Researchers in this domain explore innovative algorithms, mathematical models, and computational methods to enhance signal quality, extract relevant features, and enable efficient data transmission and storage.

Signal Processing covers a wide array of subfields and applications. Some of the key scopes within Signal Processing include:

Digital Signal Processing Image Processing Audio Signal Processing Speech Processing Video Processing Biomedical Signal Processing Radar Signal Processing Sonar Signal Processing Communication Signal Processing Wireless Communication Optical Signal Processing Signal Filtering Wavelet Transform Time-Frequency Analysis Signal Compression Pattern Recognition Signal Reconstruction Adaptive Signal Processing Statistical Signal Processing Signal Denoising Signal Segmentation Signal Detection Signal Classification Signal Localization Signal Modulation

Engineering Group (3)

Case Report Article ID: igmin167
Cite

Open Access Policy refers to a set of principles and guidelines aimed at providing unrestricted access to scholarly research and literature. It promotes the free availability and unrestricted use of research outputs, enabling researchers, students, and the general public to access, read, download, and distribute scholarly articles without financial or legal barriers. In this response, I will provide you with an overview of the history and latest resolutions related to Open Access Policy.

System for Detecting Moving Objects Using 3D Li-DAR Technology
by Md. Milon Rana, Orora Tasnim Nisha, Md. Mahabub Hossain, Md Selim Hossain, Md Mehedi Hasan and Md Abdul Muttalib Moon
Robotics BioengineeringSensorsSignal Processing
Research Article Article ID: igmin132
Cite

Open Access Policy refers to a set of principles and guidelines aimed at providing unrestricted access to scholarly research and literature. It promotes the free availability and unrestricted use of research outputs, enabling researchers, students, and the general public to access, read, download, and distribute scholarly articles without financial or legal barriers. In this response, I will provide you with an overview of the history and latest resolutions related to Open Access Policy.

Methodology of the Professional-Business Game for the Development of a Cadet Leader in Professional Training Courses (L-1B) of the Tactical Level of Military Education
by Igor Kozubtsov
Educational Technology Automation and Control SystemsSignal Processing
Mini Review Article ID: igmin125
Cite

Open Access Policy refers to a set of principles and guidelines aimed at providing unrestricted access to scholarly research and literature. It promotes the free availability and unrestricted use of research outputs, enabling researchers, students, and the general public to access, read, download, and distribute scholarly articles without financial or legal barriers. In this response, I will provide you with an overview of the history and latest resolutions related to Open Access Policy.

Deep Semantic Segmentation New Model of Natural and Medical Images
by Pei-Yu Chen, Chien-Chieh Huang and Yuan-Chen Liu
Machine Learning Signal Processing
Signal Processing
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