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Focusing on linear algebra's application in signal processing, this textbook is designed for graduate students and emphasizes a practical yet rigorous approach. With over 35 years of expertise, the author provides a solid foundation tailored to signal processing and related fields, enhancing students' understanding of concepts applicable to real-world problems. Additionally, it addresses connections to emerging areas like machine learning, featuring numerous relevant examples and problems that offer unique insights into the subject matter.
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Fundamentals of Linear Algebra for Signal Processing, James Reilly
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- Released
- 2024
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- (Hardcover)
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