Tomasi SIGNAL ANALYSIS AND MIXING DEFINITIONS TERMS 1) Electrical signals of which amplitude changes continuously with respect to time with no breaks or discontinuities. Analog Signals 2) Electrical signals that are described as discrete; their amplitude maintains constant level for a prescribed period of time and then it changes to another level with respect to time with no breaks or discontinuities. Digital Signals 3) Digital signal with only two levels possible.
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Electronics and Electrical Engineering Course Structure and Syllabus for BTech in Electronics and Electrical Engineering (to be applicable from 2010 batch onwards) Course No. CH101 CH110 EE101 MA101 ME110/ PH 110 ME 111 PH101 SA 101 Course Name Semester - 1 Chemistry Chemistry Laboratory Electrical Sciences Mathematics - I Workshop /Physics Laboratory Engineering Drawing Physics - I Physical Training -I NCC/NSO/NSS 3 0 3 3 0 0 2 0 0 11 Semester 3 MA201 EE200 EE201 EE220 HS2xx EE202 SA201 Mathematics
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Jain. Fundamentals of Digital Image Processing. Prentice Hall‚ 1989. [10] Ramesh Jain‚ Rangachar Kasturi‚ and Brian G. Schunk. Machine Vision. McGraw-Hill Inc.‚ 1995. [11] Arne Jensen and Anders la Cour-Harbo. Ripples in Mathematics: the Discrete Wavelet Transform. Springer-Verlag‚ 2001. [12] David C. Kay and John R. Levine. Graphics File Formats. Windcrest/McGraw-Hill‚ 1995. [13] Jae S. Lim. Two-Dimensional Signal and Image Processing. Prentice Hall‚ 1990. [14] Vishvjit S. Nalwa. A Guided Tour of
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8/4/2014 Exam Details | Made Easy Call Us : 011-45124612 | Site Map Google Home IES GATE PSUs QUICK LINKS Courses News & Events OUR CENTRES : Delhi Online Admissions People Indore Archive Bhubaneswar Made Easy IES 2014 Online Test Series Enquiry Jaipur Contact Us Lucknow About Us Upcoming Batches Admissions INDIAN ENGINEERING SERVICES : IES What is IES? How to prepare for IES? IES 2014 Eligiblity IES Cut-Off Marks
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periods will be of at least 50 minutes duration) SEMESTER – III Sl. No. Theory 1 2 3 4 5 6 PRACTICAL 7 8 9 10 Subject Code EE 301(EI) EC 301(EI) M 302 EC 302(EI) EE 302(EI) CS 302 EE 391 EE 392 EC 392 M(CS) 382 Subject Circuit Theory and Networks Discrete Electronic Circuits Mathematics Digital Integrated Circuits Electrical Measurements and Instruments Numerical Methods and Programming Circuits and Networks Lab Electrical Measurements Lab Digital Electronics Lab Numerical Methods and Programming
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segmentation and compression of compound images. This paper proposes a novel method for block-based compound image compression. The pictorial blocks and text/graphics blocks are separated from the compound image. The pictorial blocks are compressed using discrete haar wavelet transformation and text/graphics colors are mapped to primary colors using color quantization algorithm and the resulting index values are then compressed using lossless Huffman coding technique. The compressed image is then encrypted
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Transducers‚ Sensors & Displays Systems (TIC-502) Unit 1. Topic GENERALISED CONFIGURATIONS‚ FUNCTIONAL DISCRIPTION & PERFORMANCE CHARACTERISTICS OF MEASURING INSTRUMENTS: Functional elements of an instrument; active & passive transducers; analog & digital modes of operation ; null & deflection methods; I/O configuration of measuring instruments & instrument system – methods of correction for interfering & modifying inputs. Static characteristics; Meaning of static calibration‚ accuracy‚ precision
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Figure 1.1 illustrates discrete data transmission‚ which is the transmission of one message from a finite set of messages through a communication channel. A message sender at the transmitter communicates with a message receiver. The sender selects one message from the finite set‚ and the transmitter sends a corresponding signal (or “waveform”) that represents this message through the communication channel. The receiver decides the message sent by observing the channel output. Successive transmission
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violin‚ piano‚ and oboe. The Fourier Series can be used to explain why each of the instruments have their own unique sound. The flute‚ violin‚ piano and oboe have different combinations of frequencies as each waveform is made of an unique combination of sine and cosine waves‚ and this creates distinct waveforms and allows each instrument to have a unique sound. Recall that the formula of the Fourier Series is f(x)=a_0+∑_(k=1)^∞▒(a_k cos〖πkx/T〗+b_k sin〖πkx/T〗 ) The Fourier Series is the sum of all
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Basic Engineering-II The objective of this subject will help us to know the basic knowledge of Electronics. The concept of semiconductors‚ transistors‚ diodes‚ FET‚ MOSFET their working principles‚ construction and working model. To know about the a.c to dc converting circuits like half wave‚ full wave rectifiers circuits. Also the filter operation of ripples using various types of filter circuits. The various types of transducer working‚ construction and uses will be discussed briefly and moving
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