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A rigorous but accessible treatment of the subject intertwining theoretical techniques with hands-on laboratory instruction and divided into three parts, this book covers various aspects of the digital signal processing (DSP) "problem". It begins with analysis of discrete-time signals explaining sampling and the use of Fourier transforms. The second part of the book covering digital-analog and analog-digital conversion provides a practical interlude before Part III lays out the development of the z-transform and the pros and cons of finite and infinite impulse response filters.
MATLAB® is employed to visualise the mathematics underlying this discipline, making clear its engineering relevance. The practical microprocessor-oriented parts of the book are introduced with special reference to the ADuC841, an lab manual for which is available. These labs can be transposed for other microprocessors. Problems are provided at the end of each chapter and an electronic solutions manual is available for tutors.
List of contents
The Analysis of Discrete-time Signals.- Understanding Sampling.- Signal Reconstruction.- Time-limited Functions Are Not Band-limited.- Fourier Analysis and the Discrete Fourier Transform.- Windowing.- Signal Generation with the Help of MATLAB.- The Spectral Analysis of Random Signals.- Analog to Digital and Digital to Analog Converters.- The General Structure of Sampled-data Systems.- The Operational Amplifier: An Overview.- A Simple Digital to Analog Converter.- The Binary Weighted DAC.- The R-2R Ladder DAC.- The Successive Approximation Analog to Digital Converter.- The Single- and Dual-slope Analog to Digital Converters.- The Pipelined A/D.- Resistor-chain Converters.- Sigma-Delta Converters.- Digital Filters.- Discrete-time Systems and the Z-transform.- Filter Types.- When to Use C (Rather than Assembly Language).- Two Simple FIR Filters.- Very-narrow-band Filters.- Design of IIR Digital Filters: The Old-fashioned Way.- New Filters from Old.- Implementing an IIR Digital Filter.- IIR Filter Design Using MATLAB.- Group Delay and Phase Delay in Filters.- Design of FIR Filters.- Implementing a Hilbert Filter.- The Goertzel Algorithm.
Summary
A rigorous but accessible treatment of the subject intertwining theoretical techniques with hands-on laboratory instruction and divided into three parts, this book covers various aspects of the digital signal processing (DSP) "problem". It begins with analysis of discrete-time signals explaining sampling and the use of Fourier transforms. The second part of the book covering digital–analog and analog–digital conversion provides a practical interlude before Part III lays out the development of the z-transform and the pros and cons of finite and infinite impulse response filters.
MATLAB® is employed to visualise the mathematics underlying this discipline, making clear its engineering relevance. The practical microprocessor-oriented parts of the book are introduced with special reference to the ADuC841, an lab manual for which is available. These labs can be transposed for other microprocessors. Problems are provided at the end of each chapter and an electronic solutions manual is available for tutors.
Additional text
From the reviews:
"The novelty of this book lies in providing the student the subsequent transforms in DSP in a concise manner, in an experimental way by a large use of MATLAB and SIMULINK. … The book is accessible to students familiar with the main facts from a Signals-and-Systems course." (Dumitru Stanomir, Zentralblatt MATH, Vol. 1141, 2008)
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From the reviews:
"The novelty of this book lies in providing the student the subsequent transforms in DSP in a concise manner, in an experimental way by a large use of MATLAB and SIMULINK. ... The book is accessible to students familiar with the main facts from a Signals-and-Systems course." (Dumitru Stanomir, Zentralblatt MATH, Vol. 1141, 2008)
