Practical C Programming Steve Oualline Pdf
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All My IT Tech Posts
" This eBook is a collection of 123 WordPress Posts I wrote from 2014-2022, on very varied topics, using Linux as the primary tool for various topics of interest to me. It represents a comprehensive summary of my total IT tech knowledge across Linux, Windows, Networking, Cisco, Programming (JS, HTML, CSS, C, Python), MYSQL Databases, WordPress website hosting, SD Radio, Raspberry Pis, Linux/Windows Admin, Tech theory on many topics such Protocols, Encapsulation, Multiplexing...and much more. I hope there is something for everyone in the Title List. I suggest using your reader's text search function to copy the Post title you wish to read so it takes you to the relevant page where the Post starts. Thanks for purchasing a copy if you have done so. I hope my decades of education provides some benefit if you are looking to get into the IT world at whatever level, which never happened for me as a career for many reasons. The purchase of the eBook does NOT imply ANY form of author tech support or liability for it's content use on ANY IT system! "
Practical C++ Programming
Practical C++ Programming thoroughly covers: C++ syntax · Coding standards and style · Creation and use of object classes · Templates · Debugging and optimization · Use of the C++ preprocessor · File input/output
Discrete Wavelet Transformations
Author: Patrick J. Van Fleet
language: en
Publisher: John Wiley & Sons
Release Date: 2011-03-01
An "applications first" approach to discrete wavelettransformations Discrete Wavelet Transformations provides readers with a broadelementary introduction to discrete wavelet transformations andtheir applications. With extensive graphical displays, thisself-contained book integrates concepts from calculus and linearalgebra into the construction of wavelet transformations and theirvarious applications, including data compression, edge detection inimages, and signal and image denoising. The book begins with a cursory look at wavelet transformationdevelopment and illustrates its allure in digital signal and imageapplications. Next, a chapter on digital image basics, quantitativeand qualitative measures, and Huffman coding equips readers withthe tools necessary to develop a comprehensive understanding of theapplications. Subsequent chapters discuss the Fourier series,convolution, and filtering, as well as the Haar wavelet transformto introduce image compression and image edge detection. Thedevelopment of Daubechies filtersis presented in addition tocoverage of wavelet shrinkage in the area of image and signaldenoising. The book concludes with the construction of biorthogonalfilters and also describes their incorporation in the JPEG2000image compression standard. The author's "applications first" approach promotes a hands-ontreatment of wavelet transforma-tion construction, and over 400exercises are presented in a multi-part format that guide readersthrough the solution to each problem. Over sixty computer labs andsoftware development projects provide opportunities for readers towrite modules and experiment with the ideas discussed throughoutthe text. The author's software package, DiscreteWavelets, is usedto perform various imaging and audio tasks, compute wavelettransformations and inverses, and visualize the output of thecomputations. Supplementary material is also available via thebook's related Web site, which includes an audio and videorepository, final project modules, and softwarefor reproducingexamples from the book. All software, including theDiscreteWavelets package, is available for use withMathematica®, MATLAB®, and Maple. Discrete Wavelet Transformations strongly reinforces the use ofmathematics in digital data applications, sharpens programmingskills, and provides a foundation for further study of moreadvanced topics, such as real analysis. This book is ideal forcourses on discrete wavelet transforms and their applications atthe undergraduate level and also serves as an excellent referencefor mathematicians, engineers, and scientists who wish to learnabout discrete wavelet transforms at an elementary level.