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anurag college of engineering dept of ece digital signal processing lab digital signal processing lab manual iii year ii semester ece prepared by k ashok kumar reddy department of electronics ...

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         ANURAG COLLEGE OF ENGINEERING            Dept of ECE               Digital Signal Processing Lab  
          
          
          
          
          
          
                               DIGITAL SIGNAL PROCESSING 
                                                LAB MANUAL 
          
          
                                      III YEAR II SEMESTER (ECE) 
          
          
                                          Prepared by: 
                                    K. Ashok Kumar Reddy 
          
          
          
                          Department of Electronics & Communications Engineering, 
                     
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             ANURAG COLLEGE OF ENGINEERING                           Dept of ECE                           Digital Signal Processing Lab  
              
              
              
                        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 programs shall be implemented in software (Using MATLAB / Lab view / C programming/ 
                   Equivalent) and hardware (Using TI / Analog devices / Motorola / Equivalent DSP processors). 
              1.   Generation of Sinusoidal waveform / signal based on recursive difference equations 
              2.   To find DFT / IDFT of given DT signal 
              3.   To find frequency response of a given system given in (Transfer Function/ Differential equation 
                   form). 
              4.   Implementation of FFT of given sequence 
              5.   Determination of Power Spectrum of a given signal(s). 
              6.   Implementation of LP FIR filter for a given sequence 
              7.   Implementation of HP FIR filter for a given sequence 
              8.   Implementation of LP  IIR filter for a given sequence 
              9.   Implementation of HP IIR filter for a given sequence 
              10.  Generation of Sinusoidal signal through filtering 
              11.  Generation of DTMF signals 
              12.  Implementation of Decimation Process 
              13.  Implementation of Interpolation Process 
              14.  Implementation of I/D sampling rate converters 
              15.  Audio application such as to plot a time and frequency display of microphone plus a cosine using 
                   DSP. Read a .wav file and match with their respective spectrograms. 
              16.  Noise removal: Add noise above 3 KHz and then remove, interference suppression using 400 Hz 
                   tone. 
              17.  Impulse response of first order and second order systems. 
                   Note: - Minimum of 12 experiments has to be conducted. 
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            ANURAG COLLEGE OF ENGINEERING                     Dept of ECE                       Digital Signal Processing Lab  
             
             
             
             
             
                                                                      List of experiments                              
                 Introduction to MATLAB                                                                               
                     1)  Generation of Basic Signals                                                                   
                     2)  Sum of sinusoidal signals                                                                     
                     3)  Impulse   response  of the  difference  equation                                              
                     4)  Frequency response of a  system given in   Difference equation form                           
                     5)  Determination of Power Spectrum                                                               
                     6)  FIR Low pass Filter design                                                                    
                     7)  FIR High pass Filter design                                                                   
                     8)  IIR Low pass Filter design                                                                    
                     9)  IIR High pass Filter design                                                                   
                     10) Fast Fourier Transform                                                                        
                     11) DFT / IDFT of given DT signal                                                                 
                     12) Implementation of Decimation Process                                                          
                     13) Implementation of Interpolation Process                                                       
                     14) Implementation of I/D sampling rate converters                                                
                                            List of experiments using CC Studio 
                 Introduction to DSP  processors, TMS 320C6713 DSK                                                     
                 Introduction to CC STUDIO                                                                             
                     1)  Generation of Sine  wave and Square wave                                                      
                     2)  Linear Convolution                                                                            
                     3)  Impulse response of first order and second  order systems                                     
                     4)  Generation of Real time sine wave 
                     5)  Real time FIR (LP/HP) Filter Design 
                     6)  Real time IIR (LP/HP) Filter Design 
                     7)  Audio application 
                     8)  Noise removal 
             
                          
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         ANURAG COLLEGE OF ENGINEERING        Dept of ECE              Digital Signal Processing Lab  
          
          
          
          
                                            INRODUCTION 
             MATLAB: MATLAB is a software package for high performance numerical computation and 
             visualization  provides  an  interactive  environment  with  hundreds  of  built  in  functions  for 
             technical  computation,  graphics  and  animation.  The  MATLAB  name  stands  for  MATrix 
             Laboratory 
          
          
          
                        At its core ,MATLAB is essentially a set (a “toolbox”) of routines (called “m files” 
             or “mex files”)  that sit on your computer and a window that allows you to create new variables 
             with names (e.g. voltage and time) and process those variables with any of those routines (e.g. 
             plot voltage against time, find the largest voltage, etc). 
                    It also allows you to put a list of your processing requests together in a file and save that 
             combined list with a name so that you can run all of those commands in the same order at some 
             later time. Furthermore, it allows you to run such lists of commands such that you pass in data 
          
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...Anurag college of engineering dept ece digital signal processing lab manual iii year ii semester prepared by k ashok kumar reddy department electronics communications www jntuworld com jawaharlal nehru technological university hyderabad b tech sem l t p d c the programs shall be implemented in software using matlab view programming equivalent and hardware ti analog devices motorola dsp processors generation sinusoidal waveform based on recursive difference equations to find dft idft given dt frequency response a system transfer function differential equation form implementation fft sequence determination power spectrum s lp fir filter for hp iir through filtering dtmf signals decimation process interpolation i sampling rate converters audio application such as plot time display microphone plus cosine read wav file match with their respective spectrograms noise removal add above khz then remove interference suppression hz tone impulse first order second systems note minimum experiments ...

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