This is a comprehensive guide on digital signal processing, covering from basics to advanced applications. Ideal for students and professionals.

Key Features

• Comprehensive coverage of DSP fundamentals
• Practical applications in speech and radar
• Detailed exercises and numerical problems

Book Description

This book covers the fundamental concepts of digital signal processing (DSP), introducing discrete-time signals, the z-transform, frequency analysis, discrete and fast Fourier transforms, digital filters, FIR, and statistical DSP. With applications ranging from engineering to telecommunications and medical imaging, this text focuses on representing signals with mathematical models and processing them using discrete-time systems.Understanding DSP is crucial for professionals in various fields as it allows for effective signal representation and manipulation. The book starts with an introduction to DSP and a review of discrete-time signals and systems, followed by a detailed exploration of the z-transform and frequency analysis using DTFT. It further delves into discrete Fourier transforms, fast Fourier transform algorithms, and the implementation of discrete-time systems.The journey continues with in-depth discussions on digital filters, including the design and analysis of infinite impulse response (IIR) and finite impulse response (FIR) filters. The book also covers statistical digital signal processing, multirate DSP, and applications in speech and radar. Through a variety of exercises and a comprehensive glossary, readers will gain a solid understanding of DSP fundamentals and applications.

What you will learn

• Understand the basics of DSP
• Explore discrete-time signals
• Learn about z-Transforms
• Master Fourier Transforms
• Design digital filters
• Apply DSP in speech and radar

Who this book is for

Ideal for students, engineers, and professionals in electronics and communications. Basic knowledge of signal processing is recommended. Prior understanding of calculus and linear algebra is beneficial.

This is a comprehensive guide on digital signal processing, covering from basics to advanced applications. Ideal for students and professionals.

Key Features

• Comprehensive coverage of DSP fundamentals
• Practical applications in speech and radar
• Detailed exercises and numerical problems

Book Description

This book covers the fundamental concepts of digital signal processing (DSP), introducing discrete-time signals, the z-transform, frequency analysis, discrete and fast Fourier transforms, digital filters, FIR, and statistical DSP. With applications ranging from engineering to telecommunications and medical imaging, this text focuses on representing signals with mathematical models and processing them using discrete-time systems.Understanding DSP is crucial for professionals in various fields as it allows for effective signal representation and manipulation. The book starts with an introduction to DSP and a review of discrete-time signals and systems, followed by a detailed exploration of the z-transform and frequency analysis using DTFT. It further delves into discrete Fourier transforms, fast Fourier transform algorithms, and the implementation of discrete-time systems.The journey continues with in-depth discussions on digital filters, including the design and analysis of infinite impulse response (IIR) and finite impulse response (FIR) filters. The book also covers statistical digital signal processing, multirate DSP, and applications in speech and radar. Through a variety of exercises and a comprehensive glossary, readers will gain a solid understanding of DSP fundamentals and applications.

What you will learn

• Understand the basics of DSP
• Explore discrete-time signals
• Learn about z-Transforms
• Master Fourier Transforms
• Design digital filters
• Apply DSP in speech and radar

Who this book is for

Ideal for students, engineers, and professionals in electronics and communications. Basic knowledge of signal processing is recommended. Prior understanding of calculus and linear algebra is beneficial.

This is a comprehensive guide on digital signal processing, covering from basics to advanced applications. Ideal for students and professionals.

Key Features

• Comprehensive coverage of DSP fundamentals
• Practical applications in speech and radar
• Detailed exercises and numerical problems

Book Description

This book covers the fundamental concepts of digital signal processing (DSP), introducing discrete-time signals, the z-transform, frequency analysis, discrete and fast Fourier transforms, digital filters, FIR, and statistical DSP. With applications ranging from engineering to telecommunications and medical imaging, this text focuses on representing signals with mathematical models and processing them using discrete-time systems.Understanding DSP is crucial for professionals in various fields as it allows for effective signal representation and manipulation. The book starts with an introduction to DSP and a review of discrete-time signals and systems, followed by a detailed exploration of the z-transform and frequency analysis using DTFT. It further delves into discrete Fourier transforms, fast Fourier transform algorithms, and the implementation of discrete-time systems.The journey continues with in-depth discussions on digital filters, including the design and analysis of infinite impulse response (IIR) and finite impulse response (FIR) filters. The book also covers statistical digital signal processing, multirate DSP, and applications in speech and radar. Through a variety of exercises and a comprehensive glossary, readers will gain a solid understanding of DSP fundamentals and applications.

What you will learn

• Understand the basics of DSP
• Explore discrete-time signals
• Learn about z-Transforms
• Master Fourier Transforms
• Design digital filters
• Apply DSP in speech and radar

Who this book is for

Ideal for students, engineers, and professionals in electronics and communications. Basic knowledge of signal processing is recommended. Prior understanding of calculus and linear algebra is beneficial.