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Digital Media Processing: DSP Algorithms Using C
86% of respondents would recommend this to a friend
UZS 1039756
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Optimized algorithms can make all the difference when developing a new application. This book covers the most current algorithms needed for constrained systems and provides implementation concepts that can be integrated into many architectures.
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What Stands Out
Mahsulot tafsilotlari
| Publisher | Newnes |
| Publication date | June 3, 2010 |
| Edition | 1st |
| Language | English |
| Print length | 768 pages |
| ISBN-10 | 1856176789 |
| ISBN-13 | 978-1856176781 |
| Item Weight | 9.9 ounces (280.67 grams) |
| Dimensions | 8.5 x 1.5 x 11 inches (21.6 x 3.8 x 27.9 cm) |
Who Should Buy?
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Students in DSP
Ideal for students learning digital signal processing concepts and algorithms with practical C programming examples.
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Software Developers
Useful for software developers looking to implement DSP algorithms in various digital media applications using C.
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Engineering Professionals
Great for engineering professionals requiring a reference to enhance their understanding and application of DSP algorithms.
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Non-Technical Users
Not suitable for non-technical users lacking programming knowledge or interest in digital signal processing concepts.
MAHSULOT TAVSIFI
Digital Media Processing: DSP Algorithms Using C
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DSPs Editorial Review
**** "Digital Media Processing: DSP Algorithms Using C" by Malepati receives high praise for its thorough approach to digital signal processing while juxtaposing mathematical theory with practical implementation. This publication elegantly navigates the complex and broad landscape of digital media processing, encompassing data compression, digital communication, and various forms of signal and image processing. The author’s strategy of addressing both fundamental concepts and specific algorithms offers a valuable resource for professionals and students alike. Readers appreciate the book’s ability to strike a balance between theory and application, avoiding excessive math while still providing adequate practical coding examples. Many acknowledge that the introductory sections are particularly strong, containing numerous C code snippets which ease the learning curve for those implementing DSP solutions. However, some reviews indicate that as the book progresses into intricate topics—like transforms and filtering—the amount of practical code diminishes significantly, resulting in a more mathematically driven narrative that might frustrate those seeking robust coding examples. Moreover, it is important to note that this book is best suited for those with a solid understanding of C programming and a strong mathematical foundation, as the author assumes a degree of proficiency that could deter novices. Despite this, those working in engineering fields—such as telecommunications or media engineering—find it a helpful reference, though they may need to supplement it with other material for a more comprehensive view of specific areas. In conclusion, "Digital Media Processing" is a commendable resource for skilled programmers and engineers who are prepared to engage with mathematical principles tied to digital signal processing, although it may fall short for less experienced readers looking for more code-centric guidance. **
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Pros
- Effective blend of theory and practical implementation.
- Comprehensive coverage of various DSP topics.
- Numerous C code examples in the initial sections.
- Bridges gap between theoretical mathematics and practical solutions.
Kamchiliklari
- Diminished focus on code examples in later chapters.
Product Price History
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UZS 1039756
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Xususiyatlar va Afzalliklar
- Maximize your programming with optimized algorithms.
- Covers basic and advanced multimedia implementations, cryptography, compression, and data error correction.
- Decrease algorithm development times to streamline your programming.
- Case studies on WiMAX, GPS, and portable media players.
- Examples throughout the book use Analog Devices' BlackFin technology.
- Integrates implementation concepts into various architectures.
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