麻省理工的数字通信原理讲义

bridge_zheng

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01 Introduction to Digital Communication
02 Coding for Discrete Sources
03 Coding for Discrete Sources (continued)
04 Coding for Sequences of Source Symbols
05 Sources With Memory and the Lempel-Ziv Algorithm
06 Quantization
07 High-Rate Entropy-Coded Quantization
08-09 Analog Sources_Waveforms ↔ Sequences
10 Waveforms as Vectors in Signal-Space
11 Introduction to Channels and PAM
12 QAM
13 QAM and Noise
14 Noise and Gaussian Random Processes
15 Gaussian Noise, Covariance and Spectral Density
16 Spectral Density, Orthonormal Expansions
17-18 Detection
19 The Irrelevance Theorem and Orthogonal Signal Sets
20 Wireless Communication Systems
21 Input/Output Models for Wireless
22 Stochastic Wireless Models
23 Channel Measurement and Rake Receivers
24 Coding, IS-95, and CDMA

【文件名】:06122@52RD_Principles of Digital Communication I.rar
【格　式】:rar
【大　小】:2671K
【简　介】:
【目　录】:
[br]<p align=right><font color=red>+5 RD币</font></p>

bridge_zheng

chapter01 Introduction
chapter02 Discrete-time and Continuous-time AWGN Channels
chapter03 Capacity of AWGN Channels
chapter04 The Gap between Uncoded Performance and the Shannon Limit
chapter05 Performance of Small Signal Sets
chapter06 Introduction to Binary Block Codes
chapter07 Introduction to Finite Fields
chapter08 Reed-Solomon Codes
chapter09 Introduction to Convolutional Codes
chapter10 Trellis Representations of Binary Linear Block Codes
chapter11 Codes on Graphs
chapter12 The Sum-Product Algorithm
chapter13 Capacity-approaching Codes
chapter14 Introduction to Lattice and Trellis Codes
chapter15 Linear Gaussian Channels

【文件名】:06122@52RD_Principles of Digital Communication II.rar
【格　式】:rar
【大　小】:3164K
【简　介】:
【目　录】: