FSK MODULATION AND DEMODULATION PROGRAM USING MATLAB LIST OF TABLES: CHAPTER 1: INTRODUCTION. 1.1-INTRODUCTION TO WIRELESS MODEM. 1.2-INTRODUCTION TO FREQUENCY SHIFT KEYING 1.2.1-FSK MODULATOR 1.2.2-FSK DEMODULATION CHAPTER 2: COMPONENT DESCRIPTION. 2.1-LIST OF COMPONENTS 2.2-DESCRIPTION OF FUNCTIONAL DIAGRAM 2.2.1 IC 555. 2.2.2 565 PLL. CHAPTER 3: CIRCUIT DIAGRAM AND WORKING. 3.1-CIRCUIT DIAGRAM OF FSK MODULATOR USING IC555. 3.2-CIRCUIT DIAGRAM OF FSK DEMODULATOR USING PLL 555 CHAPTER
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are presented in Section 5. 2 Sum of Squares Polynomials and Sum of Squares Programs A multivariate polynomial p(x1 ‚ ...‚ xn ) p(x) is a sum of squares (SOS‚ for brevity)‚ if there exist polynomials f1 (x)‚ ...‚ fm (x) such that m SOSTOOLS is a MATLAB toolbox for constructing and solving sum of squares programs. It can be used in combination with semidefinite programming software‚ such as SeDuMi‚ to solve many continuous and combinatorial optimization problems‚ as well as various control-related
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Surprise tests ---- 10% OB Lab regular (Perf ---+Report+Matlab) 3 Hrs 12% OB Lab compre + Online Matlab 1.5 Hr+ 1Hr 13% CB 3 Hrs CB/OB Compre 13/12/13 35% Digital Communication lab - A-201 Equipped with DSO‚ AFG‚ DMM‚ Power supplies Trainer kits for all the experiments supported by the softcopy of manual One of the group-member should carry laptop‚ will need to install MATLAB + certain software to use the instruments in lab. To be revised…
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An additive noise is characteristic of almost all communication systems. This additive noise typically arises from thermal noise generated by random motion of electrons in the conductors comprising the receiver. In a communication system the thermal noise having the greatest effect on system performance is generated at and before the first stage of amplification. This point in a communication system is where the desired signal takes the lowest power level and consequently the thermal noise
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functions‚ pointers‚ arrays‚ tables‚ databases‚ sorting. MS Excel: navigating‚ basic calculations‚ tables‚ plotting‚ functions‚ linear interpolation‚ statistics‚ linear regression‚ root finding‚ differentiation‚ integration‚ programming macros. MATLAB: command line mode‚ M files‚ data input‚ formatting output‚ file I/O‚ random numbers‚ statistics‚ reducing‚ solving equations‚ n equations in n unknowns‚ 2- and
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Abstract In this project our main objective is to detect the tumor and calculate its area based on classifying the images. Death rate among people has been increased due to diseases like brain tumor. The brain tumor that can be identified by using image processing. The proposed system enables automatic detection of brain tumor through MRI. So our main objective is to study‚ analyze and enhance MRI Image from the existing algothrim. Certain traditional approach requires manually extracting the
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CHAPTER - 1 INTRODUCTION 1.1 STATE OF ART Photovoltaic (PV) generation is becoming increasingly important as a renewable source since it offers many advantages such as incurring no fuel costs‚ not being polluting‚ requiring little maintenance and emitting no noise among others. But still‚ these modules have relatively low conversion efficiency due to their nonlinear and temperature-dependent voltage-current and voltage power characteristics. Power generated by PV generators and injected into the
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INTRODUCTION In all walks of life‚ machine automation is essential to make sophisticated approach to the mankind. Of course the machines cannot be replaced by human in exact recognition of coins. Nowadays‚ most of the work of the human is replaced by machines. The coin classification of various denominations and finding the sum of the coins is a tedious process. Coin counting machine is user friendly and makes customer operation a breeze. This machine is equipped with an operating system. This
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is proposed as the minimization of a multi-objective function formed by the combination of not only sprung mass acceleration‚ pitching acceleration‚ suspension travel and dynamic load‚ but also the passenger acceleration. With the aid of software Matlab/Simulink‚ the simulation model is achieved. Simulation results demonstrate that the proposed active suspension system proves to be effective in the ride comfort and drive stability enhancement of the suspension system. A mechanical dynamic model of
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all other time varying loads making up the dynamic load. This project titled “ Vibrational Analysis of Frames “ aims at analyzing the frame both statically and dynamically using the matrix approach of FEM by developing generalized codes in MATLAB. The analysis comprises of the static analysis of frame and the variation of various parameters such as displacement‚ moment etc with increasing number of storey’s as well as dynamic analysis wherein a code is developed to find the natural frequency
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