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Introduction to Digital Filters with Audio Applications

A comprehensive guide to digital filters, covering theory, design, and implementation across time and frequency domains. It starts with the simplest filters and builds toward advanced topics like state-space models, pole-zero analysis, and filter structures, with detailed examples using MATLAB, Faust, and C++. Ideal for learners and practitioners, it blends mathematical foundations with practical tools for real-world signal processing.


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The FAUN watches over the forest of developers. It roams between Kubernetes clusters, code caves, AI trails, and cloud canopies, gathering the signals that matter and clearing out the noise.
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