Discrete Fourier Transform
We're still working on our article for Discrete Fourier Transform. Please check back soon for more information.
Find a path to becoming a Discrete Fourier Transform. Learn more at:
OpenCourser.com/topic/rd4r1m/discrete
Reading list
We've selected 16 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Discrete Fourier Transform.
Specifically focuses on the DFT, covering its theory, algorithms, and practical applications. It provides a detailed analysis of errors and implementation issues, making it a useful reference for those working extensively with the DFT in various fields.
Offers an intuitive and practical understanding of DSP concepts, including the DFT, with a minimum of heavy mathematics. It is highly recommended for beginners and those seeking a more accessible approach to the subject before diving into more theoretical texts. It great supplementary resource.
Emphasizes the use of MATLAB for solving DSP problems, including those related to the DFT. It is suitable for seniors and first-year graduate students and good resource for understanding the practical implementation of DSP algorithms. It is often used as a textbook.
Bridges the gap between theory and practice in DSP, with a focus on real-world applications of the DFT and other transforms. It is suitable for advanced undergraduates and graduate students and valuable reference for practicing engineers.
Available online for free, this guide provides a practical introduction to DSP, covering the DFT and FFT with clear explanations and examples from science and engineering. It's an excellent starting point for gaining a broad understanding and valuable reference for its practical insights.
Combines the theoretical aspects of DSP with practical implementation in MATLAB, including detailed examples related to the DFT and FFT. It is suitable for students and practitioners who want to apply DSP concepts using computational tools.
Takes a 'signals first' approach to DSP, introducing concepts like the DFT through practical examples and labs. It is well-suited for introductory courses and helps students develop an intuitive understanding of signal processing principles.
Integrates concepts from signals and systems, probability, and inference, providing a broader context for DSP and the DFT. It is suitable for advanced undergraduate and graduate students and reflects a modern perspective on the subject.
While covering Fourier analysis more broadly, this book provides a rigorous mathematical foundation that is essential for a deep understanding of the DFT. It is suitable for advanced undergraduates and graduate students in mathematics and related fields. It provides crucial background knowledge.
Covers statistical methods in DSP, including power spectral estimation which utilizes the DFT. It graduate-level text that provides a deeper understanding of signal analysis techniques.
While primarily focused on digital filters, this book covers the necessary background in DSP, including the DFT, for filter design and analysis. It comprehensive text suitable for advanced students and researchers.
Focuses on the practical implementation of DSP algorithms, including the DFT, on microcontrollers. It is valuable for those interested in the hardware and software aspects of applying DSP in real-world systems.
While covering wavelet transforms, this book often draws parallels and contrasts with the Fourier Transform, providing a broader perspective on time-frequency analysis. It is suitable for those looking to explore related advanced topics after understanding the DFT.
This outline provides a concise review of DSP concepts, including the DFT, through numerous solved problems. It useful supplementary resource for reinforcing understanding and preparing for exams.
This advanced text on adaptive filters builds upon fundamental DSP concepts, including spectral analysis which heavily relies on the DFT. It is suitable for graduate students and researchers interested in advanced signal processing topics.
A classic in harmonic analysis, this book provides a deep mathematical treatment of Fourier analysis, including concepts relevant to the continuous and discrete cases. It is geared towards graduate students and researchers in mathematics.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/rd4r1m/discrete
Save
