Accounting - 9th Edition (Horngren, Harrison & Olive)

No prior accounting or business knowledge is needed to successfully complete this book. Accounting 4/E pays very careful attention to making accounting informationinteresting and relevant to the reader.
A number of infographics, worked-out examples, charts, and illustrations visually reinforce material. Decision Guidelines provide insight and step-by-step instructions on how business decision makers use financial statements and other forms of accounting information. Includes Internet Tours to give the reader an overview and illustrate how to navigate through accounting resources on the web. Emphasizes topics in depth while incorporating new real company examples, like McDonald's. For those working within accounting or considering accounting/business profession or even those owning a small business.
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Monday, 27 May 2013

FREE Digital Signal Processing by Proakis (DSP) 4th Edition

Digital signal processing (DSP) is concerned with the representation of discrete time signals by a sequence of numbers or symbols and the processing of these signals. Digital signal processing and analog signal processing are subfields of signal processing. DSP includes subfields like: audio and speech signal processing, sonar and radar signal processing, sensor array processing, spectral estimation, statistical signal processing, digital image processing, signal processing for communications, control of systems, biomedical signal processing, seismic data processing, etc.
The goal of DSP is usually to measure, filter and/or compress continuous real-worldanalog signals. The first step is usually to convert the signal from an analog to a digital form, by sampling and then digitizing it using an analog-to-digital converter (ADC), which turns the analog signal into a stream of numbers. However, often, the required output signal is another analog output signal, which requires a digital-to-analog converter (DAC). Even if this process is more complex than analog processing and has a discrete value range, the application of computational power to digital signal processing allows for many advantages over analog processing in many applications, such as error detection and correction in transmission as well as data compression.
Here is uploaded complete book about Digital Signal Processing. Download and learn deeply about DSP.

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