1. Trang chủ
  2. » Thể loại khác

Fundamentals of Signal Processing

2 99 0

Đang tải... (xem toàn văn)

THÔNG TIN TÀI LIỆU

Thông tin cơ bản

Định dạng
Số trang 2
Dung lượng 53,77 KB

Các công cụ chuyển đổi và chỉnh sửa cho tài liệu này

Nội dung

Fundamentals of Signal Processing tài liệu, giáo án, bài giảng , luận văn, luận án, đồ án, bài tập lớn về tất cả các lĩn...

Trang 1

Fundamentals of Signal

Processing

Bởi:

Minh N Do

Outline

1 Foundations

1 Signals Represent Information

2 Introduction to Systems

3 Discrete-Time Signals and Systems

4 Linear Time-Invariant Systems

5 Discrete-Time Convolution

6 Review of Linear Algebra

7 Hilbert Spaces

8 Signal Expansions

9 Fourier Analysis

10 Continuous-Time Fourier Transform (CTFT)

11 Discrete-Time Fourier Transform (DTFT)

12 DFT as a Matrix Operation

13 The FFT Algorithm

14 Solutions

2 Sampling and Frequency Analysis

1 Introduction

2 Proof

3 Illustrations

4 Sampling and Reconstruction with Matlab

5 Systems View of Sampling and Reconstruction

6 Sampling CT Signals: A Frequency Domain Perspective

7 The DFT: Frequency Domain with a Computer Analysis

8 Discrete-Time Processing of CT Signals

9 Short Time Fourier Transform

10 Spectrograms

11 Filtering with the DFT

12 Image Restoration Basics

13 Solutions

Fundamentals of Signal Processing

1/2

Trang 2

3 Digital Filtering

1 Difference Equation 103

2 The Z Transform: Definition

3 Table of Common z-Transforms

4 Understanding Pole/Zero Plots on the Z-Plane

5 Filtering in the Frequency Domain

6 Linear-Phase FIR Filters

7 Filter Structures

8 Overview of Digital Filter Design

9 Window Design Method 125

10 Frequency Sampling Design Method for FIR Filters

11 Parks-McClellan FIR Filter Design

12 FIR Filter Design using MATLAB

13 MATLAB FIR Filter Design Exercise

14 Solutions

4 Statistical and Adaptive Signal Processing

1 Introduction to Random Signals and Processes

2 Stationary and Nonstationary Random Processes

3 Random Processes: Mean and Variance

4 Correlation and Covariance of a Random Signal

5 Autocorrelation of Random Processes

6 Crosscorrelation of Random Processes

7 Introduction to Adaptive Filters

8 Discrete-Time, Causal Wiener Filter

9 Practical Issues in Wiener Filter Implementation

10 Quadratic Minimization and Gradient Descent

11 The LMS Adaptive Filter Algorithm

12 First Order Convergence Analysis of the LMS Algorithm

13 Adaptive Equalization

Solutions

Glossary

Bibliography

Index

Detail hereFundamentals of Signal Processing

Fundamentals of Signal Processing

2/2

Ngày đăng: 28/10/2017, 13:33

TỪ KHÓA LIÊN QUAN