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Full Description
This textbook provides a comprehensive understanding of multirate signal processing, focusing on practical applications and real-world examples implemented in Python. The book covers fundamental and advanced topics such as filter banks, sampling theory, and z-domain analysis, making it ideal for graduate-level courses and professionals. Through a combination of theoretical insights and Python-based examples, readers gain both the conceptual understanding and practical skills needed to apply multirate techniques in fields like audio coding, telecommunications, and machine learning. Ancillaries include homework problems, Python code examples, a Github repository with Colab Notebooks, and a chatbot for asking questions and finding answers quickly.
Offers a detailed, application-focused guide to multirate signal processing, with examples implemented in Python;
Covers advanced applications in audio, telecommunications, and machine learning;
Includes Python code examples, a book chatbot, and a Github repository with Colab Notebooks.
Contents
Introduction.- Introduction to Multirate Signal Processing.- Multiresolution and Filter Banks.- Frequency Response.- Filter Design and Analysis.- Windows and Filter Optimization.- Sampling Theory and Applications.- z-Domain and Effects.- Non-Ideal Filters.- Transforms as Filter Banks.- DCT, Polyphase Representation.- Polyphase Matrices.- The Modified Discrete Cosine Transform (MDCT).- Low Delay Filter Banks.- Optimization of Filter Banks.- Artificial Neural Networks.- Conclusion.
