Signal Processing Lab (M.Tech)

Advanced Digital Signal Processing lab deals with different transformation techniques of the signals, analysis of Multirate systems, window designing methods, spectral analysis of all types of signals using advance methods and basic idea of using linear algebra approaches for signal processing methods. Also the objective of the laboratory is to enable the students simulate, and synthesize experiments with DSP boards. Students can implement digital signal processing algorithms using different computational platform.The laboratory contains both hardware and software facilities and  equipped with personal computers, Texas Instruments DSP kits (TMS320C6416 and TMS320C6713),Image Daughter card with camera and Accessories. The software used includes Code Composer Studio, MATLAB, C, etc.

List of Experiments
Part 1: Linear Algebra and Random Signals
               (The following experiments are to be simulated using MATLAB/SIMULINK Software)
     1. Solve the system Ax=b and give least squares solution of Ax=b.
     2. a)Evaluate Characteristic polynomial, eigenvalues, eigenvectors,
          b)Eigenvalues and eigenvectors of a normal matrix A
     3.a) Bases for all four fundamental subspaces.
         b) Basis for the nullspace and Orthogonal complement of a subspace.
     4.a)Matrix inverse by Gauss-Jordan elimination.
        b)Solution to a square, invertible system.

     5.Give the relation between two random signals and derive the statistical properties of random
         signal.
     6.Generation of discrete time independent and identically distributed random processes with
        different distributions like Uniform, Gaussian.
     7.Generation of discrete time independent and identically distributed random processes with
        different distributions like Exponential, Laplacian.

Part 2: Advanced Digital Signal Processing
               (The following experiments are to be simulated using MATLAB/SIMULINK Software)
    8.Frequency response of a stationary signal.
    9. Frequency response of a Non-stationary signal.
    10. Frequency response of elliptical low pass filter and chebyshev high pass filter.
    11. Frequency response of chebyshev bandpass filter and Butterworth band stop filter.
    12.Implementation of decimation and interpolation in spatial domain.
    13.Spectrum estimation using parametric methods
    14.Spectrum estimation using nonparametric methods
    15.Minimization of the spectral leakage effect.
    16.Average energy calculations of Nonstationary signal.

Part 3: Experiments using Code Composer Studio Simulation Soft ware
             (The following experiments are to be conducted using TMS Digital Signal Processor Kits)
17.Linear Convolution.
18.Implementation of a FIR filter.
19.Implementation of an IIR filter.
20.Calculation of FFT.