2K6 EC 705 (D) - R F System Design 2K6 EC 705 (E) -Industrial Electronics 2K6 EC 705 (F) - Data Compression EIGHTH SEMESTER *25 Marks is allocated for Industrial Training Elective III 2K6 EC 805( A) – Advanced Digital Signal Processing 2K6 EC 805( B) – Digital Image Processing 2K6 EC 805 (C) –Communication Switching Systems 2K6 EC 805 (D) – Embedded System 2K6 EC 805 (E )– Secure Communications 2K6 EC 805(F )– Optimization Techniques Code Subject Hours/Week Sessional Marks University
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project is to understand basic concepts in signal processing and transmission by implementing a one-way voice communication system. In this project‚ audio digital signal is transmitted from the transmitter side to the receiver side via a laser link. Subsequently‚ the received signals will be played back using a speaker. The system is illustrated in Figure 1. Figure 1 Project illustration Firstly‚ the project requires to encode the input analog voice signal using a pulse code modulation (PCM) encoder
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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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electronics and communication‚ I am interested in digital signal processing. The merging of Communications has had a profound influence on the way digital systems are organized. I was fascinated by the concept of digitalization‚ which virtually shrunk the globe and its omnipresent nature. This diverse nature of digital systems with its new avenues for research motivates me to be part of this exciting field. In this direction‚ I chose digital signal processing in my final year of B. Tech curriculum.
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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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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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causes some of the signal energy to be returned to the source as an echo [1]. This can be seen in Figure 1. (All figures appear at the end of the report.) Figure 1: schematic layout of the Echo canceller [1] The delays between primary and echo signals are directly related to the transmission distance. For example‚ if a signal was sent to a satellite that redirected the signal back to another location on earth‚ that signal would have a very large time delay compared to a signal sent to a local
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DESIGN AND IMPLEMENTATION OF RADIX-4 BOOTH MULTIPLIER USING VHDL A project report submitted to KOUSTUV INSTITUTE OF SELF DOMAIN (BPUT - University) For Partial Fulfillment of the Requirement for the Award of the Degree of BACHELOR OF TECHNOLOGY in ELECTRONICS & TELECOMMUNICATION ENGINEERING TANIMA PADHEE SRUJITA PADMINI DAS M.SAILAJA PUSPITA KUMARI PARIDA Under the Guidance of Miss
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produce a close approximation of the original signal. The wavelet transform of a signal decomposes the original signal into wavelets coefficients at different scales and positions. These coefficients represent the signal in the wavelet domain and all data operations can be performed using just the corresponding wavelet coefficients. The major issues concerning the design of this Wavelet based speech coder are choosing optimal wavelets for speech signals‚ decomposition level in the DWT‚ thresholding
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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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