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Mathematical summary for Digital Signal Processing Applications with Matlab consists of Mathematics which is not usually dealt in the DSP core subject, but used in DSP applications. Matlab programs with illustrations are given for the selective topics such as generation of Multivariate Gaussian distributed sample outcomes, Bacterial foraging algorithm, Newton’s iteration, Steepest descent algorithm, etc. are given exclusively in the separate chapter. Also Mathematical summary for Digital Signal Processing Applications with Matlab is written in such a way that it is suitable for Non-Mathematical readers and is very much suitable for the beginners who are doing research in Digital Signal Processing.
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 Blender Compositing and Post Processing
Learn the techniques required to create believable and stunning visuals with Blender Compositor
About This Book
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Explore Blender compositor to create spectacular visuals
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Make the most out of Blender's node-based compositing architecture
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Step-by-step guide full of...
| | Digitally Assisted Pipeline ADCsDigitally Assisted Pipeline ADCs: Theory and Implementation explores the opportunity to reduce ADC power dissipation by leveraging digital signal processing capabilities in fine line integrated circuit technology. The described digitally assisted pipelined ADC uses a statistics-based system identification technique as an enabling... | | Enterprise Information Systems: 8th International Conference, ICEIS 2006, Paphos, Cyprus, May 23-27, 2006, RevisedThis book contains the carefully selected best papers of the 8th International Conference on Enterprise Information Sysetms, ICEIS 2006, held in Paphos, Cyprus, in May 2006.
The 4 invited papers and 27 revised and selected papers presented in this volume cover different aspects related to enterprise computing. They were selected from 63... |
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