Explore MATLAB source code curated for "反卷积" with clean implementations, documentation, and examples.
Algorithm for solving Toeplitz equations used in deconvolution applications, implementing the solution for x*h=y where h and y are known vectors and x is the unknown variable to be determined.
In MATLAB, signal S convolved with channel H produces received signal V using V = conv(S,H), followed by deconvolution from V and H to recover original parameters.
Expert-developed 2D deconvolution code for image restoration, specifically designed to address defocus blur in images with advanced algorithmic implementation.
Deconvolution and signal restoration represent theoretically challenging branches in signal processing technology. Due to their extensive applications, they remain hot research topics. Relevant research reports are scattered across various professional academic journals and books, yet there exists a notable gap for students and researchers seeking a systematic guide reflecting recent developments. This book aims to fill this void by systematically organizing fundamental concepts, highlighting key advancements, challenges, and future directions. The text emphasizes the physical origins of deconvolution problems, theoretical methodologies' core principles, application scopes, and limitations. It incorporates practical code examples, algorithm implementations, and real-world datasets to facilitate hands-on application, while providing comprehensive theoretical foundations and cutting-edge developments for advanced research.
Algorithm Implementation and Code Considerations for Least Squares Inverse Filter Design in Signal Deconvolution