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可適性信號處理
Adaptive Signal Processing
吳安宇   108下

課程概述
this course will cover the basic concepts and applications of "adaptive signal processing." its widely used in most wired/wireless communications systems, such as system modeling, equalizer, mimo beamforming. also, some concepts can be furthre applied to modern neural networks (nn) and machine learning.

課程目標
this couse is the kernel class in digital communication. it can be complementary to "estimation & detection" and "error correcting codes". then, these three kernel courses form the foundation of the modern digital communcation systems.

課程要求
prerequisite:
- signals & systems
- probabilities and satistics
- linear algebra

related:
- stochastic signal processing
- time/frequency-domain signal processing

指定閱讀
testbook: simon haykin, adaptive fitler theory

參考書目
related papers for final projects

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