"Signal processing" Essays and Research Papers

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    Online Transaction Processing (OLTP) The following is partially extracted from GC33-0754-00. 1. Overview An application is a particular use to which a data processing system is put‚ for example‚ a payroll application or an order entry application. Commercial applications typically process many similar items‚ for example‚ an order in an order processing system‚ a seat reservation in an airline booking system‚ or a credit query in a credit control system. The processing of one of these items is a

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    Monica Ashley Case

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    for Monica‚ this was not the case. Monica faced strong opposition by Ralph Parker‚ the VP for Signal Processing Design. Parker had three important sources of power: legitimate‚ expert and coercive. As VP of Signal Processing‚ Parker’s power was legitimate: it came from his VP position. In addition‚ Dorr once told Monica that “there was no way the company could do without Parker because of his signal processor contributions” (Cohen & Bradford‚ p. 58)‚ which leads us to conclude that Parker had expert

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    Central Processing Unit

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    A CPU processor or central processing unit controls the functions of most electronic products. The CPU accepts the input data‚ processes the information and sends it to the component that is in charge of executing the action. CPUs are also known as microprocessors and are at the center of any computer system. Although CPUs are most often thought of as a computer chip‚ they can also be found in many other electronic devices including cell phones‚ hand held devices‚ microwaves‚ television sets and toys

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    Aims of the report The aim of this report is to research into basic hardware and software principle’s used in audio and visual processing. Information about RGB colour model and how it used on computer displays will be provided‚ Nyquist theorem‚ WAV structure which includes header information‚ logic gates with information about the 7 gates which are used‚ basic circuits used audio visual systems and how binary is used for audio quality. Research and experimentation will be done into the topics to

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    The food processing sector in India is of fundamental importance‚ holding as it does the vital link between agriculture and industry. The sector is poised for enormous growth and already contributes about 12.7 percent of the country’s GDP and provides nearly 60 percent of all job opportunities by directly employing around 1.6 million workers. The industry is the 5th largest sector in the country in terms of production‚ consumption‚ export and growth. The worth of the Indian processed foods industry

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    References: [1] Cisco Networks‚ "Cisco Visual Networking Index (VNI): Mobile Data Traffic Forecast‚ 2012– [Special Reports]‚" Signal Processing Magazine‚ IEEE‚ vol. 29‚ pp. 9-14‚ 2012. Communications‚ 2008. ATC 2008. International Conference on‚ 2008‚ pp. xxii-xxii. transmission‚" iEEE Globecom 2010 proceedings‚ 2010. multicarrier systems with blind channel estimation‚" Communications

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    Dsp Manual

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    DIGITAL SIGNAL PROCESSING LAB MANUAL III YEAR II SEMESTER (ECE) Prepared by: K. Ashok Kumar Reddy Department of Electronics & Communications Engineering‚ Visvesvaraya College of Engineering & Technology‚ Ibrahimpatnam. Digital Signal Processing Lab Manual Page 1 www.jntuworld.com www.jntuworld.com Department of Electronics and Communication VCET‚Hyderabad. JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD III Year B.Tech. ECE - II Sem L T/P/D C 0 -/3/2 DIGITAL SIGNAL PROCESSING LAB The

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    output pressure response from this sensor is 10 pC/psi‚ which is then converted by an In-Line Charge Converter (Model 422E35) also from PCB Piezotronics. The inline charge amplifier converts the signal with a gain of 0.99 mV/pC. Therefore‚ the final calibration factor used for converting the transducer signal to pressure is 6.238 mV/psi. Figure 40 shows both the pressure sensor and the charge converter. Figure 40. PCB pressure transducer and PCB charge converter The in-cylinder pressure and crank

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    2. WINS SYSTEM ARCHITECTURE 3. WINS NODE ARCHITECTURE 4. WINS MICRO SENSOR 5. WINS MICROSENSOR INTERFACE CIRCUITS 6. ROUTING BETWEEN NODES 7. SHORTEST DISTANCE ALGORITHM 8. WINS DIGITAL SIGNAL PROCESSING 9. PSD COMPARSON 10. WINS MICROPOWER EMBEDDED RADIO 11. HISTORY 12. APPLICATION 13. PROS AND CONS 14. CONCLUSION REFERENCES LIST OF FIGURES

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    The speech‚ being a fundamental way of communication‚ has been embedded in various applications. The central methods for enhancing speech are removal of background noise‚ echo suppression or artificially bringing certain frequencies into speech signal. In this project‚ an attempt has been made towards studying speech enhancement techniques like Spectral Subtraction‚ Minimum Mean Square Error (MMSE)‚ Kalman and Wiener filter. Based on our observations and analysis of various performance parameters

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