About Book

Digital signal processing refers to the science and practice of using digital processes to perform operations related to signal processing. It is closely related to analog signal processing. The fundamental applications of this field are in biomedical engineering, digital image processing, sensor array processing, statistical signal processing, speech signal processing, radar, seismic data processing, etc. The world of engineering is filled with signals: images from remote space probes, voltages generated by the heart and brain, radar and sonar echoes, seismic vibrations, and countless other applications. The theory behind DSP is quite complex. DSP is primarily used to detect errors, and to filter and compress analog signals in transit. Basically, DSP works by clarifying, or standardizing, the levels or states of a digital signal. ADSP circuit is able to differentiate between human-made signals, which are orderly, and noise, which is inherently chaotic. DSP is one of the most powerful technologies that will shape science and engineering in the twenty-first century. This book elucidates new techniques and their applications in a multidisciplinary approach. Such selected concepts that redefine this field have been presented in it. It includes signal processing techniques, ultrasonic transducers, frequency measurement, digital filter structures, artificial intelligence methods, principles of transmission, interferometric signals, acoustic emission and digital signal processing architecture. It elucidates the concepts and innovative models around prospective development with respect to digital signal processing. Some of the diverse topics covered in this book address the varied branches that fall under this subject area. The topics discussed are of utmost significance and bound to provide incredible insights to students. Coherent flow of topics, student-friendly language and extensive use of examples make this book an invaluable source of knowledge for the students.

Preface............................................................................................................v

Chapter 1 A Digital Signal Processing Architecture for Soft-Output MIMO Lattice Reduction Aided Detection.........................................................1

1. Introduction............................................................................................1

2. System model.........................................................................................2

3. Lattice reduction....................................................................................6

4. Hard detection using lattice reduction...........................................11

5. Subspace-based LRAD.......................................................................16

6. Hardware implementation................................................................20

7. Conclusion............................................................................................29

Chapter 2 Digital Signal Processing for Acoustic Emission ............................33

1. Introduction..........................................................................................33

2. Monitoring and process control of machining processes...........34

3. Case study............................................................................................41

4. Conclusions..........................................................................................52

Chapter 3 Digital Demodulation of Interferometric Signals ...........................55

1. Introduction..........................................................................................55

2. Interferometry .....................................................................................56

3. Frequency domain demodulation of a phase-generated

carrier ...................................................................................................63

4. Conclusion ...........................................................................................70

5. Acknowledgment ...............................................................................71

Chapter 4 Principles of Transmission and Detection of Digital Signals.......75

1. Introduction..........................................................................................75

2. Digital signal transmission and detection......................................76

3. Digital receiver and optimum detection........................................78

4. Bandpass signaling.............................................................................81

5. High speed communication over time selective fading

channels...............................................................................................106

6. Conclusion..........................................................................................107

7. Acknowledgment..............................................................................108

Chapter 5 Digital Signal Processing and Artificial Intelligence Methods for

Intracardial Signal Complexity Evaluation......................................110

1. Introduction........................................................................................110

2. Defining A-EGM classes of fractionation ...................................112

3. A-EGM signal preprocessing ........................................................115

4. A-EGM signal description - finding attributes...........................119

5. A-EGM signal classification ...........................................................127

6. Discussion and conclusion .............................................................132

7. Acknowledgement.............................................................................136

Chapter 6 Most Efficient Digital Filter Structures: The Potential of Halfband

Filters in Digital Signal Processing ..................................................140

1. Introduction........................................................................................140

2. Single halfband filters......................................................................143

3. Halfband filter pairs.........................................................................165

4. Parallelisation of tree-structured filter banks composed of

directional filters................................................................................180

5. Summary and conclusion................................................................188

Chapter 7 High-Precision Frequency Measurement Using Digital Signal

Processing ................................................................................................194

1. Introduction........................................................................................194

2. Principle of DMTD method............................................................195

3. Frequency measurement using digital signal processing.........197

4. System noise floor and conclusion ..............................................209

5. Acknowledgment..............................................................................211

Chapter 8 Comparative Analysis of Three Digital Signal Processing Techniques for 2D Combination of Echographic Traces Obtained from Ultrasonic Transducers Located at Perpendicular Planes...214

1. Introduction........................................................................................214

2. Some antecedents of ultrasonic evaluation from perpendicular

planes...................................................................................................216

3. Description of processing techniques for combination -

Expressions of SNR .........................................................................217

4. Protocols used in the different testing experiments..................224

5. Simulated and experimental flaw detection results for the three

combination techniques - Discussion of their performance ....229

6. Conclusion..........................................................................................236

7. Acknowledgment ...........................................................................237

Citation......................................................................................................241

Index...........................................................................................................243

About Author

Gerard Nikolić pursued his Ph.D. in Electrical Engineering from Technological University, Manila. He serves as a guest lecturer at several renowned universities across America and Europe. Nikolić has been professionally involved in producing high quality 3D models, i.e. electrical equipment and devices for automotive and other machineries. He has diverse areas of academic interests including speech signal processing, digital image processing and statistical signal processing. He has been an invited speaker at numerous international telecommunication conferences across the globe.