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Item #:
21108932
Digital Signal Processing in Modern Communication Systems
Item #:
21108932
EGP 1978
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This book is a must-have for students and practicing engineers who want to build upon the principles of Digital Signal Processing, enrich their understanding with advanced topics, and then apply that knowledge to the design of modern wireless modems.
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What Stands Out
Advanced Algorithms
Utilizes cutting-edge algorithms tailored for efficient signal processing, enhancing communication clarity and reliability under various conditions, thus improving overall user experience.
Real-Time Processing
Offers real-time signal analysis and manipulation, ensuring instantaneous response in modern communication systems, vital for applications such as video conferencing and live broadcasting.
Wide Compatibility
Designed to integrate seamlessly with a variety of modern communication platforms, ensuring enhanced performance across devices and reducing setup complexity for users.
Product Details
- Digital Signal Processing in Modern Communication Systems takes you on a journey that starts with basic DSP principles and ends with a treatment of modern wireless modems like OFDM and single-tone transceivers. Throughout this journey, we will cover signal processing topics that are applicable not just to the field of communications but to many engineering disciplines. This text steps outside the often dry mathematical presentation of more traditional DSP books and provides a more intuitive approach to this fascinating topic. Some of this book’s uniqueness can be summarized as follows: - An intuitive approach to the topic of digital signal processing. - Working in-book MatLab examples supporting all important concepts. - A large scope covering basic concepts (correlation, convolution, DFT, FIR filters …) as well as advanced topics (optimization, adaptive signal processing, equalization, OFDM, MIMO … ). - MatLab modeling of analog/RF effects (multipath channel, thermal noise, phase noise, IQ imbalances, DC and frequency offsets) that must be addressed and solved in modern modem design. - Real world topics that go beyond the ordinary communication textbooks such as signal synchronization, modem rate management, and fixed-point effects. All in all, this book is a must-have for students and practicing engineers who want to build upon the principles of Digital Signal Processing, enrich their understanding with advanced topics, and then apply that knowledge to the design of modern wireless modems.
| Publisher | Andreas Schwarzinger |
| Publication date | May 22, 2013 |
| Language | English |
| Print length | 398 pages |
| ISBN-10 | 0988873508 |
| ISBN-13 | 978-0988873506 |
| Item Weight | 2.02 pounds (920 grams) |
| Dimensions | 8.5 x 0.9 x 11 inches (21.6 x 2.3 x 27.9 cm) |
Who Should Buy?
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Graduate Students
Ideal for graduate students specializing in communication systems, offering essential techniques and insights into digital signal processing.
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Industry Professionals
Recommended for professionals in telecommunications looking to enhance their skills and knowledge in signal processing applications.
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Researchers
Beneficial for researchers seeking comprehensive data and methodologies in modern communication technologies and signal processing.
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Beginners
Not suitable for beginners; the content may be too complex without a foundational understanding of signal processing concepts.
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Casual Readers
Casual readers seeking light material will find the content technical and detailed, lacking accessibility and ease of understanding.
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Limited Budget
Individuals or organizations operating on a tight budget may find the cost prohibitive and lacking in basic resources.
Product Description
Have any Query? Chat with us
Customer Questions & Answers
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Question:
What is Digital Signal Processing (DSP) and why is it important in modern communication systems?
Answer: Digital Signal Processing (DSP) refers to the manipulation of signals after they have been converted into a digital form. It is crucial in modern communication systems as it enables efficient encoding, decoding, compression, and transmission of data. By using DSP techniques, communication systems can improve clarity, reduce noise, and ensure that signals are transmitted over long distances without degradation. For instance, DSP is heavily utilized in mobile phones and satellite communications to enhance audio and video quality. -
Question:
How does DSP enhance the performance of communication systems?
Answer: DSP enhances performance through various techniques such as filtering, modulation, and error correction. Filtering helps in removing unwanted noise, while modulation allows for efficient signal transmission by adapting the signal type to the channel's characteristics. Error correction ensures data integrity by fixing any errors that may occur during transmission. This combined approach enables clear and reliable communications, especially in challenging environments like crowded urban areas or rural locations with weak signals. -
Question:
What are some applications of DSP in communication systems?
Answer: DSP is applied in multiple communication systems including cellular networks, satellite communications, and digital broadcasting. For example, in cellular networks, DSP algorithms optimize signal strength and quality, facilitating clearer calls and faster data transmission. In satellite communications, DSP ensures effective data compression, allowing for high-definition video streaming. Overall, the versatility of DSP makes it essential across different communication platforms, helping to meet the diverse needs of users. -
Question:
Can DSP be used in real-time systems? If so, how?
Answer: Yes, DSP can be effectively used in real-time systems where swift processing is essential. Real-time DSP systems use specialized hardware and optimized algorithms to process signals instantly as they are received. This capability is vital in services like video conferencing, where delays are unacceptable. For example, modern communication devices employed in real-time audio processing enable clear and immediate sound, significantly enhancing user experience during calls. -
Question:
What role do algorithms play in Digital Signal Processing?
Answer: Algorithms are the backbone of DSP, as they dictate how signals are processed. They define procedures for filtering, decoding, and error correction, thereby transforming raw data into usable formats. Advanced algorithms can adapt to changing conditions, making real-time adjustments to maintain signal quality. For instance, in adaptive filtering, the algorithm dynamically alters its parameters based on signal changes, optimizing performance in various scenarios like background noise suppression during conversations. -
Question:
Are there specific software tools used to implement DSP in communication systems?
Answer: Yes, several software tools are available for implementing DSP in communication systems. Popular platforms include MATLAB, Simulink, and LabVIEW, which provide robust environments for designing and simulating DSP techniques. These tools allow engineers to model signal processes, test algorithms, and validate system performance before real-world application. For instance, students and professionals use these software tools to develop communication systems, making them vital in academic and industry settings. -
Question:
What skills are needed to work with Digital Signal Processing?
Answer: To work effectively with DSP, one should have a solid foundation in mathematics, particularly in areas like Fourier transforms and linear algebra. Knowledge of programming languages such as C, Python, or specialized DSP languages is also essential. Understanding of electronics and telecommunications principles will further enhance one's capability to design, analyze, and optimize communication systems. Professionals in this field often engage in continuous learning to keep pace with evolving techniques and technologies. -
Question:
How can I learn more about DSP in communication systems?
Answer: Learning about DSP in communication systems can be approached through various channels. Online courses from platforms like Coursera or edX offer structured learning paths, while textbooks provide comprehensive coverage of principles and applications. Joining forums or communities focused on DSP can also facilitate knowledge exchange among peers. Additionally, hands-on practice through projects or simulations can solidify understanding, making learning both practical and engaging. -
Question:
What are the challenges faced in DSP for communication systems?
Answer: Challenges in DSP for communication systems mainly include handling noise and interference, ensuring data integrity, and managing signal processing delays. Non-ideal conditions like fading and multipath propagation can distort signals, making them difficult to process. Engineers must constantly innovate to develop algorithms that minimize these issues and optimize performance. For instance, the implementation of advanced error correction codes can significantly enhance reliability, especially in mobile and remote communication setups. -
Question:
Where can I buy Digital Signal Processing in Modern Communication Systems in Egypt?
Answer: You can purchase 'Digital Signal Processing in Modern Communication Systems' from Ubuy. Ubuy is an excellent platform that provides a wide selection of books and resources related to digital signal processing and communication systems. Their user-friendly interface and reliable customer service make it a popular choice for consumers looking to enhance their knowledge in this field.
Internet, Groupware, & Telecommunications Editorial Review
Digital Signal Processing in Modern Communication Systems is a highly recommended book for practicing communications engineers. It provides a comprehensive overview of DSP basics and goes into detail on practical applications. The book is easy to read, with clear, detailed examples and requires only a minimum of math knowledge. The inclusion of MATLAB examples helps clarify concepts and serves as a great introduction to the subject. The author's emphasis on building intuition and providing insightful diagrams sets this book apart from others in the field. The book covers a wide range of topics, including OFDM, and is particularly useful for those looking to transition from theory to code. The only drawback mentioned by reviewers is the absence of a Kindle or PDF version.
Customer Reviews & Ratings
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Pros
- Easy to read with clear, detailed examples
- Requires minimal math knowledge
- MATLAB examples clarify concepts
- Excellent introduction to the subject
- Great for transitioning from theory to code
Cons
- No Kindle or PDF version available Overall, Digital Signal Processing in Modern Communication Systems is highly praised for its practical approach, clear explanations, and valuable examples. It is Considered a valuable resource for understanding and applying DSP in communication systems.
Product Price History
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EGP 1978
Order now and get it around Saturday, June 20
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Features & Benefits
- Intuitive approach to digital signal processing
- Working in-book MatLab examples
- Large scope covering basic and advanced topics
- MatLab modeling of analog/RF effects
- Real world topics beyond ordinary communication textbooks
- Ideal for students and practicing engineers