TAILIEUCHUNG - Biosignal and Biomedical Image Processing MATLAB-Based Applications phần 8

Một cuốn sách xem là tương đối đầy đủ và dễ học về C# - một phiên bản hoàn toàn mới của C#. Hãy đón đầu công nghệ và thỏa mãn niềm đam mê C# nào các bạn | Advanced Signal Processing 241 with a Modulation constant subplot 3 1 1 plot t vm k Plot AM Signal .axis label title. Add noise with times power 10 db of signal for SNR of -10 db noise randn 1 N scale var vsig var noise vm vm noise scale . Add noise to modulated signal subplot 3 1 2 plot t vm k Plot AM signal .axis label title. Phase sensitive detection ishift fix .125 fs fc . Shift carrier by 1 4 vc vc ishift N vc 1 ishift-1 period 45 deg using periodic shift v1 vc . vm Multiplier vout filter b a v1 Apply lowpass filter subplot 3 1 3 plot t vout k Plot AM Signal .axis label title. The lowpass filter was set to a cutoff frequency of 20 Hz fs 2 as a compromise between good noise reduction and fidelity. The fidelity can be roughly assessed by the sharpness of the peaks of the recovered sawtooth wave. A major limitation in this process were the characteristics of the lowpass filter digital filters do not perform well at low frequencies. The results are shown in Figure and show reasonable recovery of the demodulated signal from the noise. Even better performance can be obtained if the interference signal is narrowband such as 60 Hz interference. An example of using phase sensitive detection in the presence of a strong 60 Hz signal is given in Problem 6 below. PROBLEMS 1. Apply the Wiener-Hopf approach to a signal plus noise waveform similar to that used in Example except use two sinusoids at 10 and 20 Hz in 8 db noise. Recall the function sig_noise provides the noiseless signal as the third output to be used as the desired signal. Apply this optimal filter for filter lengths of 256 and 512. Copyright Marcel Dekker Inc. All rights reserved. Marcel Dekker Inc. 270 Madison Avenue New York New York 10016 TLFeBOOK 242 Chapter 8 2. Use the LMS adaptive filter approach to determine the FIR equivalent to the linear process described by the digital transfer function H z ----- _2. 1 - As with Example plot the magnitude .

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