Documentation for Matlab Toolbox

自己调的WM8731的程序，调了好久AD和DA转换全都通了，实现语音的采样与恢复

SoftTest的好书，他们出的Digital Semeconductor Testing很多人都看过，这本是讲Mix Signal的，很不错，全英文的

G. Manolakis 的Statistical and Adaptive Signal Processing，图书及Matlab代码。

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 . . . . .

An Introduction to Mixed-Signal IC Test and Measurement,学习IC Test的经典书,

信号处理估计理论经典书籍,fundamental of statistical signal processing estimation theory

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.

Digital Signal Processing-Principles,Algorithms,and Applications(Third Edition) 数字信号处理 [美]John G. Proakis著 英文版

基于麦克风阵列的信号处理技术，经典的信号处理学习参考资料。