a) Provide pertinent summary of the basic principles behind ECG monitoringb) Using MATLAB, provide plots of the clean and noisy ECG signals. Investigate the spectral estimation of the clean and noisy signals, using MATLAB code and SPTOOL, Discuss fully the results and conclusions that you reach.c) Using your findings in Q1 (b), design FIR filters.i) The following equation , is an approximation of an impulse response for a FIR filter. Using MATLAB coding design a FIR filter, with the Hamming window applied to its coefficients. Once you are satisfied with your design, using convolution apply your filter to the noisy ECG signal.ii) Using your findings in Q1(a) and Q1(b), design appropriate FIR filters in SPTOOL. Apply each appropriate filter design to the noisy signal, to allow comparison of the result in Q1(c)(i).iii) Compare and contrast your results.d) Using SPTOOL, design an IIR digital filter and compare the performance to the FIR filters designed in Q1(c)a) Using the coefficients obtained for the noisy signal and the FIR filter in Q1(c)(i) implement on the TMS320VC5510DSK. You can use and modify any of the files provided in the Board Support Library (BSL) or with Code Composer Studio (CCS).b) Discuss the methodology for implementation and your understanding on real-time DSP.

Task 1: A 3-channel system is to be developed that will communicate 2-dimensional image data (RGB) over the following frequency bands…
RED = 300Hz to 500Hz GREEN = 750Hz to 950Hz BLUE = 1.1kHz to 1.3kHz
The Nyquist frequency for the system is 2kHz. Design a channel separator comprising of a single IIR filter (help yulewalk) to spate the RED, GREEN, and BLUE data into the appropriate channels. Perform a frequency response test upon the IIR filter using an appropriate input signal to verify data in the required frequency bands is passed by the filter.
Task 2: Create three new filter files, one file to contain a conservative smoothing filter, the second to contain a median smoothing filter, and the third to contain a mean smoothing filter. Apply each filter to test_image.jpg (located in the course folder on Moodle).Verify the output of each filter. Add useful file handling and image processing features to your developed software for additional marks.
Your laboratory report must be written in AMC conference paper format; an editable Word template is in the course folder.
Your report must be a maximum of 5 pages. You are also allowed to include up to 5 pages of additional work (optional) if you want to gain extra marks; these optional pages do not need to be in AMC conference paper format and should be placed after your report.
Finally, please include a copy of your computer code at the very end of your report (you can just paste it in).