By Hazarathaiah Malepati
Multimedia processing calls for effective programming for you to optimize performance. information, snapshot, audio, and video processing, a few or all of that are found in all digital units this present day, are complicated programming environments. Optimized algorithms (step-by-step instructions) are tricky to create yet could make all of the distinction whilst constructing a brand new application.
This ebook discusses the most up-tp-date algorithms on hand that might maximize your programming retaining in brain the reminiscence and real-time constraints of the structure with that you are operating. quite a lot of algorithms is roofed detailing simple and complicated multimedia implementations, besides, cryptography, compression, and knowledge blunders correction. the overall implementation thoughts might be built-in into many architectures that you simply end up operating with on a particular undertaking. Analog units BlackFin expertise is used for examples during the book.
*Discusses the way to reduce set of rules improvement instances to streamline your programming
*Covers all of the most up-to-date algorithms wanted for limited systems
*Includes case reports on WiMAX, GPS, and transportable media gamers
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Additional info for Digital media processing DSP algorithms using C
Data Security 23 We can strengthen RC4 security by following a few rules: 1. Drop the ﬁrst few hundred bytes of output of RC4 to avoid weak key attacks and other key schedule–related attacks. 2. Do not repeat the secret key when generating the S-Box of RC4. 3. Do not use RC4 for generating (or encrypting) lengthy data patterns. For more information on RC4 weaknesses, see Mister and Tavares (1998); Mantin and Shamir (2001); and Fluhrer, et al. (2001). 4 are also used for generating pseudorandom numbers.
Data conﬁdentiality: Eavesdroppers try to acquire knowledge of classiﬁed data in data communications or data storage systems by tapping the classiﬁed data without authorization. By processing the classiﬁed data using cryptographic algorithms, we transmit or store the data in a secure manner. Data integrity: Sometimes we may need to keep the data unchanged. The data may be altered by adding or deleting or substituting with some other data. Data transmission or memory retrieval devices may introduce errors by adding noise.
The data may be altered by adding or deleting or substituting with some other data. Data transmission or memory retrieval devices may introduce errors by adding noise. Sometimes unauthorized persons may change the content of data before it reaches to the intended party. Data authentication: Data authentication basically gives the source of data origin. By generating the authentication code using a secret key, we can have data authenticity after veriﬁcation. Most of the time the data need not be conﬁdential, but to have conﬁdence in the data, the data should have a trusted source and should not be modiﬁed by unauthorized people.