ABSTRACT The high growth of the semiconductor industry over the past two decades has put Very Large Scale Integration in demand all over the world. Digital Signal Processing has played a great role in expanding VLSI device area. The recent rapid advancements in multimedia computing and high speed wired and wireless communications made DSP to grab increased attention. For an N-point transformation the direct computation of the Discrete Fourier Transform (DFT) requires N2 operations
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Systems Text-to-Speech Synthesis Voice Mail Systems Multimedia IX. X. Conclusion References 1 1 Proposal Linear predictive coding(LPC) is defined as a digital method for encoding an analog signal in which a particular value is predicted by a linear function of the past values of the signal. It was first proposed as a method for encoding human speech by the United States Department of Defence in federal standard 1015‚ published in 1984. Human speech is produced in the vocal tract which can
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References: 1. Edited by Lawrence R.Rabiner‚ Charles M.Rader‚ “Digital Signal processing”‚ IEEE Press. 2. Oran E.Brigham‚ “FFT and its Applications”‚ Prentice Hall‚ 1988. 3.www.mathworks.com & www.ti.com 4.www.wikipedia.com 5.Digital signal processing‚ salivanan
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Jawaharlal Nehru Technological University located in nalagonda District which is affiliated to Jawaharlal Nehru Technological University Hyderabad. During the course of my undergraduate study I was exposed to various courses with applications like Signals & systems‚ Control systems‚ Electromagnetic & transmission lines‚ Microwave engineering‚ Antenna & wave
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analysis of food processing industry | MARKETING STRATEGY | HITESH VAVAIYA | Table of Contents Acknowledgement 3 Introduction of Report 3 Research Objective 4 Introduction of Food Processing Industry 4 The History of Food Processing Industry 4 Supply chain of food processing industry and factor affecting each activity 5 Agriculture 5 Food processing 5 Indian Food Processing Industry 7 History of food processing Industry in India 7 Current Market Overview 9 Indian Food Processing Industry Performance
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January 1985 Melbourne‚ VIC 3066 Nationality: Indian Tel: 0430885636 Email: appackan@gmail.com PERSONAL PROFILE I am a passionate and dedicated engineer with experience in digital signal processing and multimedia domains. I have good communication skills and a pleasing personality that would make me a good addition to a team of professionals. I am a quick learner with good organizational skills. SKILLS |Programming Language/Technology/Tool/Platform
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Data Communication Fundamentals Version 2 CSE IIT‚ Kharagpur Lesson 1 Data and Signal Version 2 CSE IIT‚ Kharagpur Specific Instructional Objectives At the end of this lesson the students will be able to: • • • • • • • • • Explain what is data Distinguish between Analog and Digital signal Explain the difference between time and Frequency domain representation of signal Specify the bandwidth of a signal Specify the Sources of impairment Explain Attenuation and Unit of Attenuation Explain
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CS2403 DIGITAL SIGNAL PROCESSING UNIT I SIGNALS AND SYSTEMS Basic elements of DSP – concepts of frequency in Analog and Digital Signals – sampling theorem – Discrete – time signals‚ systems – Analysis of discrete time LTI systems – Z transform – Convolution (linear and circular) – Correlation. UNIT II FREQUENCY TRANSFORMATIONS Introduction to DFT – Properties of DFT – Filtering methods based on DFT – FFT Algorithms Decimation – in – time Algorithms‚ Decimation – in – frequency Algorithms
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net works like CDMA‚ GSM‚ WILL etc. Basically SDR is radio communication system which can potentially tune to any frequency band and received any modulation across a large frequency spectrum by means of little hard ware as possible and process it signals through soft ware. VLSI CHIP [pic] This paper introduces the basic design of SDR‚ use of VLSI chips in mobiles and their working principles. KEYWORDS:- 1. VLSI - Very large scale integration 2
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pre-recorded template that stores each speaker’s distinctive features. We will use this template to do a mix and match with the speakers in our system. Speaker identification refers to the process of identifying an individual by extracting and processing information from his speech. This is a fascinating area of research. From speech itself‚ we can deduce quite accurately whether the speaker is male or female‚ adult or child. It is also possible to detect the emotional state‚ and attitude of
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