G. Manolakis 的Statistical and Adaptive Signal Processing，图书及Matlab代码。
2019-12-21 18:58:43
17.16MB
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CONTENT
PART 1 BASICS OF INFERENCE OVER NETWORKS
CHAPTER 1 Asynchronous Adaptive Networks
CHAPTER 2 Estimation and Detection Over Adaptive Networks
CHAPTER 3 Multitask Learning Over Adaptive Networks With Grouping
CHAPTER 4 Bayesian Approach to Collaborative Inference in Networks
CHAPTER 5 Multiagent Distributed Optimization
CHAPTER 6 Distributed Kalman and Particle Filtering
CHAPTER 7 Game Theoretic Learning
PART 2 SIGNAL PROCESSING ON GRAPHS
CHAPTER 8 Graph Signal Processing .
CHAPTER 9Sampling and Recovery of Graph Signals
CHAPTER 10 Bayesian Active learning on Graphs .
CHAPTER 1 1 Design of Graph Filters and Filterbanks
CHAPTER 12 Statistical Graph Signal Processing: Stationarity and
Spectral Estimation
CHAPTER 1 3 Inference of Graph Topology
CHAPTER 14 Partially Absorbing Ranclom Walks: A Unifiecl Framework for Learning on Graphs
PART 3 DISTRIBUTED COMMUNICATIONS, NETWORKING,
AND SENSING
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2019-12-21 18:56:45
27.96MB
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An Introduction to Mixed-Signal IC Test and Measurement,学习IC Test的经典书,
2019-12-21 18:56:17
7.66MB
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信号处理估计理论经典书籍,fundamental of statistical signal processing estimation theory
2019-12-21 18:51:41
35.86MB
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Fundamentals of Statistical Signal Processing: Practical Algorithm
Development is the third volume in a series of textbooks by the same name.
Previous volumes described the underlying theory of estimation and detection
algorithms. In contrast, the current volume addresses the practice of
converting this theory into software algorithms that may be implemented on a
digital computer. In describing the methodology and techniques, it will not be
assumed that the reader has studied the first two volumes, but of course,
he/she is certainly encouraged to do so. Instead, the descriptions will focus on
the general concepts using a minimum of mathematics but will be amply
illustrated using MATLAB implementations. It is envisioned that the current
book will appeal to engineers and scientists in industry and academia who
would like to solve statistical signal processing problems through design of
well-performing and implementable algorithms for real systems.
2019-12-21 18:51:38
19.82MB
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Digital Signal Processing-Principles,Algorithms,and Applications(Third Edition)
数字信号处理 [美]John G. Proakis著 英文版
2019-12-21 18:51:18
19.08MB
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Discrete-Time Signal Processing 3ed Oppenheim 离散时间信号处理 奥本海默 第三版（文字版）
2019-12-21 18:49:22
12.03MB
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《Fundamentals_of_Radar_Signal_Processing》（《雷达信号处理基础》的英文版），大牛Mark A. Richards的经典的雷达学习书籍 2005出版
2014-06-17 00:00:00
13.21MB
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