Signal Processing

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By Mohammed Salih Salih

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Fig. 8 shows how to link two blocks together automatically, while Fig. 9 shows how to make a branch line. Fig. 8. Linking blocks in the model file Fig. 9. Making a branch line Each SIMULINK block has its own simulation parameters, and these parameters can be reached by double-clicking on the block and then it can be changed according to the simulation requirements. As an example, Fig. 10 shows how to change the gain value of a gain block. 42 Fourier Transform – Signal Processing Fig. 10. SIMULINK block parameter viewing/changing Finally, the facility of viewing the simulation results in various ways, adds more flexibility in performing simulations using SIMULINK.

The estimated DFT coefficients of the input test signal (dj), are compared with those which are obtained from the steady flow DFT operation. Imposing a test input signal and while running the model. New frequency contents are introduced in this test signal to test the adaptability feature of the proposed model and snapshots are taken to show how the power spectrum is updated to include the newlyadded frequency contents. The simulation parameters, results and results discussions for the two scenarios are as demonstrated below: Scenario (1) Simulation parameters Simulation time (run time): 10 sec.

The signal in Fig. 5 periods, whereas signal in Fig. 5 periods. 5. 05 times per period. (a) (b) Fig. 9. 5 periods Interpolation Algorithms of DFT for Parameters Estimation of Sinusoidal and Damped Sinusoidal Signals 25 Fig. e. 2. 10b) is considered. (a) (b) Fig. 10. 01 Figs. 11-12 present systematic errors of sinusoidal signal frequency estimation for selected RVCI, Kaiser-Bessel and Dolph-Chebyshev windows for two-point and three-point interpolation. The frequency of the test signals in Fig. 5·(2π/N) with the step 8·(2π/N), and the frequency of the test signals in Fig.

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