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Gazi O MatLAB Applications For Digital Signal Processing 2024
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In this book, we explain the subject of digital signal processing with MatLAB examples. Digital signal processing has a wide field of study in electronic engineering. MatLAB program is a computer software that offers a wide range of working opportunities in engineering sciences. While preparing this book, we wanted it to be of maximum benefit, not only just providing MatLAB applications on digital signal processing, but also as a good MatLAB tutorial. That's why we prepared the starting chapters of the book as MatLAB tutorial. The MatLAB examples cover the subjects: sampling, spectral domain analysis of samples signals, downsampling, upsampling, interpolation, disctete Fourier transform, analog and digital filter design. In the book, basic MatLAB commands are explained in detail in the first four chapters. These chapters were prepared considering the readers who do not know the MatLAB programming language, want to remember it, or want to reinforce what they know. In the fifth chapter, the basic signals frequently used in the literature are explained in continuous and discrete time form. In the Chapter-6, sampling of continuous time signals is explained. We also covered spectral overlapping, i.e., aliasing problem. In Chapter-7, the Fourier transform of digital and analog signals are studied. The relationship between Fourier transforms of digital and analog signals are inspected. Chapter-8 includes the topic of inverse Fourier transform. Downsampling operation is covered in Chapter-9. We explain upsampling operation using MatLAB codes in Chapter-10. Chapter-11 is devoted to discrete Fourier transform subject, and finally we cover analog and digital filter design in Chapter-12. In Chapter-12, filter design using fdatool is also explained, and we also provided a filter design example for Simulink environment. This book can be used as an accompanying book for digital signal processing courses. It can be especially useful for laboratory studies. Although, the book is prepared for university students and engineers studying digital signal processing subject, it can be read by anyone interested in digital signal processing subject. Preface MatLAB Commands-1 MatLAB Commands-2 MatLAB Commands-3 MatLAB Commands-4 Continuous-Time and Discrete-Time Basic Signals with MatLAB Sampling Operation Fourier Transform of Continuous Time Signals and Sampled Signals Defining Signals in MatLAB and Inverse Fourier Transform Downsampling Upsampling Rotation and Fourier Transform of Digital Signals ANALOG and DIGITAL Filter Design
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FILE LIST
Filename
Size
Abood S. Digital Signal Processing. A Primer With MatLAB 2020.pdf
16.4 MB
Embree P. C++ algorithms for digital signal processing 2ed 1999.pdf
3.6 MB
Gazi O. MatLAB Applications for Digital Signal Processing...2024.pdf
46.2 MB
Gopi E. Algorithm Collections for DiSP Applications Using MatLAB 2007.pdf
5 MB
Gopi E. Mathematical Summary for DSP Applications with MatLAB 2010.pdf
10 MB
Gopi E. Multi-Disciplinary DSP. A Functional Approach Using MatLAB 2018.pdf
9.2 MB
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55.4 MB
Proakis J. Contemporary Communication Systems Using MATLAB 3ed 2013.pdf
41.1 MB
Proakis J. Digital Signal Processing 4ed 2006.pdf
113.2 MB
Proakis J. Digital Signal Processing Using MatLAB 3ed 2011.pdf
7.1 MB
Proakis J. Digital Signal Processing Using MatLAB...Companion 4ed 2017.pdf
12.3 MB
Proakis J. Digital Signal Processing. Solutions 4ed 2007.pdf
2.5 MB
Proakis J. Readme.txt
1.2 KB
Schilling R Digital Signal Processing using MatLAB 3ed 2015.pdf
19.2 MB
Schilling R. Fundamentals of DSP Using MatLAB 2ed 2012.pdf
20.3 MB
Stearns S. Digital Signal Processing with Examples in MatLAB 2003.pdf
33.6 MB
Tobin P. PSpice for Digital Signal Processing 2007.pdf
