Technical Book: Practical Digital Signal Processing with MATLAB
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Demonstrate a program example in MATLAB and deepen understanding while checking the execution results - with m-file included.
Digital signal processing has an established theoretical framework. Representative processing concepts in digital signal processing include convolution, Fourier transform, z-transform, and filters. These concepts are interrelated under the common premise of sampling. Therefore, it is difficult to understand each processing concept in isolation. When all processing concepts are understood, the entirety of digital signal processing can be grasped. This book explains the overall picture of digital signal processing using MATLAB. MATLAB includes many processing functions suitable for understanding the concepts of digital signal processing, and its simplicity of expression, exemplified by the fact that the algorithm for fast Fourier transform (FFT) can be represented by a single function, allows for significant efficiency improvements in research and development. This book provides programming examples in MATLAB and is designed to deepen understanding by confirming the execution results. Readers are strongly encouraged to run the MATLAB programs included on the attached CD while progressing through the book.
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<Publication Date> June 3, 2010 <Format> B5 size, 121 pages, with attached CD (containing M files) <Price> 52,290 yen (including tax) <Author> Tetsuya Shimamura Professor, Graduate School of Science and Engineering, Saitama University (Doctor of Engineering) In 1991, completed the doctoral program in Electrical Engineering at Keio University (Doctor of Engineering). In the same year, became an assistant at the Faculty of Engineering, Saitama University. In 1995, visited Loughborough University (UK). In 1996, visiting researcher at Queen's University Belfast (UK). In 1998, became an associate professor at the Faculty of Engineering, Saitama University. In 2007, appointed professor at the Graduate School of Science and Engineering, Saitama University, where he remains to this day.
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Chapter 1: How to Use MATLAB 1.1 Basic Operations 1.2 Graphics 1.3 Using Toolboxes Chapter 2: Discrete-Time Signals and Systems 2.1 Sampling 2.2 Discrete-Time Signals 2.3 Discrete-Time Systems Chapter 3: Transforms for Digital Signal Processing 3.1 z-Transform 3.2 Discrete-Time Fourier Transform 3.3 Discrete Fourier Transform Chapter 4: Digital Filters 4.1 Characteristics of Digital Filters 4.2 Design of FIR Filters 4.3 Design of IIR Filters 4.4 Frequency Transformation Chapter 5: Statistical Signal Processing 5.1 Irregular Signals 5.2 Spectrum Estimation 5.3 Adaptive Signal Processing *For detailed content, please download the catalog (brochure).
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