Verified signal processing algorithms in Matlab and C : advised by Israel Greiss / Arie Dickman.

Format:

Book

Author/Creator:

Dickman, Arie, author.

Series:

Engineering Series

Language:

English

Subjects (All):

C (Computer program language).

Physical Description:

1 online resource (219 pages)

Edition:

1st ed.

Place of Publication:

Cham, Switzerland : Springer, [2022]

Summary:

This book is written for engineers who need to develop algorithms used for signal processing and/or implement algorithms using the C programming language or MATLAB.The book features a rich collection of recipes for applied signal processing such as FIR, IIR, FFT, correlation, complex FIR, adaptive filters and others.

Contents:

Intro

Preface

Acknowledgment

Contents

Chapter 1: Overview of Signal Detection

1.1 Introduction

1.2 About Signal Detection

1.3 Conclusions

Chapter 2: Measures for Verification and Implementation of Algorithms

2.1 Introduction

2.2 Measures Details

2.2.1 Algorithm Verification in Frequency

2.2.2 Preparing Coefficients File for C Software

2.2.3 Algorithm Verification in Time

2.2.4 Algorithm Transient Time Measurement

2.2.5 Algorithm Processing Time Measurement

2.3 Conclusions

Chapter 3: Narrow Band &amp

Wide Band Processing Basics

3.1 Narrow Band Processing

3.1.1 Introduction

3.1.2 Numerically Controlled Oscillator

3.1.3 Finite Impulse Response Decimators

3.1.4 Low Decimation Ratio Finite Impulse Response Filters

3.1.5 Higher Decimation Ratio Finite Impulse Response Filters

3.1.5.1 Cascaded Integrator Comb Decimator Design

3.1.5.2 Finite Impulse Response Decimator by 4 Design

3.1.5.3 Compensator Design

3.1.6 Conclusions

3.2 Wide Band Processing

3.2.1 Introduction

3.2.2 Shaping Windows

3.2.3 Designing Self Made Windows

3.2.4 Fast Fourier Transform

3.2.5 Fast Fourier Transform Implementation

3.2.5.1 Bit Reversed Order

3.2.5.2 Radix 2 Twiddle Factors

3.2.5.3 Fast Fourier Transform Radix 2 Implementation

3.2.5.4 Digit Reversed Order

3.2.5.5 Radix 4 Twiddle Factors

3.2.5.6 Fast Fourier Transform Radix 4 Implementation

3.2.6 Implementing Large Fast Fourier Transform by Smaller Ones

3.2.6.1 Implementing Fast Fourier Transform size N by 16 FFTs Size N/16

3.2.6.2 Implementing Fast Fourier Transform size N by 4 FFTs size N/4

3.2.6.3 Implementing Fast Fourier Transform Size 3*2^N

3.2.6.4 Relative Error Analysis

3.2.7 Conclusions

References

Chapter 4: Complex Finite Impulse Response Filters

4.1 Introduction.

4.2 Complex Finite Impulse Response Filter Design

4.2.1 Modified Low Pass Filter Design Method

4.2.2 MATLAB Direct Complex Filter Design Method

4.2.3 Preferred Design Method

4.2.4 Property of Complex Filters

4.2.5 Implementation of Complex Filters

4.3 Conclusions

Chapter 5: Infinite Impulse Response Filters

5.1 Introduction

5.2 Infinite Impulse Response Filter Design

5.2.1 Low Pass Filter Design

5.2.1.1 Sensitivity to Quantization of Coefficients

5.2.1.2 Group Delay Assessment

5.2.1.3 Comparing Low Pass Infinite Impulse Response Filter &amp

FIR

5.2.2 High Pass Filter Design

5.2.2.1 Sensitivity to Quantization of Coefficients

5.2.2.2 Group Delay Assessment

5.2.2.3 Comparing High Pass Infinite Impulse Response Filter &amp

5.2.3 Band Stop Filter Design

5.2.3.1 Sensitivity to Quantization of Coefficients

5.2.3.2 Group Delay Assessment

5.2.3.3 Comparing Band Stop Infinite Impulse Response Filter &amp

5.2.4 All Pass Filter Design

5.2.5 Band Pass Filter Design

5.2.5.1 Sensitivity to Quantization of Coefficients

5.2.5.2 Group Delay Assessment

5.2.5.3 Comparing Band Pass Infinite Impulse Response Filter &amp

5.3 Conclusions

Chapter 6: Non-Linear and Batch Filters

6.1 Introduction

6.2 Median Filter

6.3 Batch Filter with Comparison to Median Filter

6.4 Conclusions

Chapter 7: Interpolators

7.1 Introduction

7.2 Interpolator Design

7.2.1 Fractional Interpolation/Decimation

7.2.1.1 Polyphase Filter Design

7.2.1.2 Fractional Interpolation/Decimation Using MATLAB interp1 Method

7.3 Conclusions

Chapter 8: Direct Digital Synthesis

8.1 Introduction

8.2 Direct Digital Synthesizer Details

8.2.1 Frequency Modulation of a Direct Digital Synthesizer

8.2.2 Receiver-Frequency Demodulator for Verification.

8.2.3 Amplitude Modulation of a Direct Digital Synthesizer

8.2.4 Receiver-Amplitude Demodulator for Verification

8.3 Conclusions

Chapter 9: Inverse Fast Fourier Transform

9.1 Introduction

9.2 Inverse Fast Fourier Transform Details

9.3 Inverse Fast Fourier Transform Implementation

9.4 Frequency Modulation of Inverse Fast Fourier Transform Output

9.5 Conclusions

Reference

Chapter 10: Hilbert Transform

Chapter 11: Channelizer

11.1 Introduction

11.2 Channelizer Fundamentals

11.2.1 Comparing Channelizer and Narrow Band Processing Times

11.2.2 Channelizer Design Considerations

11.3 Conclusions

Chapter 12: Correlation

12.1 Introduction

12.2 Correlation Details

12.2.1 Fast Correlation by Using Fast Fourier Transform

12.3 Pattern Recognition

12.4 Conclusions

Chapter 13: Adaptive Filters

13.1 Introduction

13.2 Equalizers

13.2.1 Least Mean Squares Algorithm

13.2.2 Normalized Least Mean Squares Algorithm

13.2.3 Multi-input Equalizer

13.3 Interference Cancellation

13.3.1 Least Mean Squares Cancelling Algorithm

13.3.2 Recursive Least Squares Cancelling Algorithm

13.4 Conclusions

Chapter 14: Unequally Spaced Sampling

14.1 Introduction

14.2 Modified Lomb-Scargle Algorithm

14.3 Algorithm Performance

14.4 Algorithm Quality Factor

14.5 Algorithm Sensitivity to Interference

14.6 Algorithm Implementation in C

14.7 Conclusions

Chapter 15: Encountered Problems in Signal Processing &amp

Solutions

15.1 Introduction

15.2 When Input Signal Includes Spikes

15.3 When Input Signal Includes Fast Transitions

15.4 Algorithms Processing Time Improvement

15.5 Mean Center Frequency Estimation of Signals

15.5.1 Mean Center Frequency Estimation for Multiple Signals.

15.5.2 Mean Center Frequency Estimation for a Single Channel

15.6 Power Level Estimation

15.7 Noise Floor Estimation

15.8 Bandwidth Estimation

15.9 Automatic Level Control

15.10 Frequency Response Estimation

15.11 Group Delay Estimation

15.12 Conclusions

Related Software

Index.

Notes:

Includes index.

Description based on print version record.

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Dickman, Arie Verified Signal Processing Algorithms in Matlab and C

ISBN:

9783030933630

OCLC:

1321800088