لخّصلي

Evaluation Criteria: Measuring the Performance of Normal AM Modulation

In order to assess the performance of the Normal AM modulation system developed in Part 1, it is imperative to establish robust evaluation criteria. The chosen criteria should be objective, quantitative, and discriminatory, enabling a comprehensive measurement of improvements in the system. The following criteria have been selected for this evaluation:

Signal Fidelity:

Objective: Quantify how well the modulated signal (
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s(t)) retains the characteristics of the original modulating signal (
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m(t)).
Quantitative Measure: Signal-to-Noise Ratio (SNR) and Mean Squared Error (MSE) between
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m(t) and the demodulated signal.
Frequency Domain Accuracy:

Objective: Ensure that the frequency components of the modulated signal are accurately captured.
Quantitative Measure: Compare the Fourier Transform of the original modulating signal with the Fourier Transform of the demodulated signal.
Modulation Depth:

Objective: Verify the system's ability to modulate the carrier signal effectively.
Quantitative Measure: Evaluate the modulation depth by analyzing the amplitude variations in the modulated signal.
Bandpass Filter Efficiency:

Objective: Assess how well the bandpass filter preserves the desired frequency components.
Quantitative Measure: Measure the filter's frequency response, bandwidth, and attenuation characteristics.
MATLAB/Pspice Simulation Validation:

Objective: Confirm the accuracy of the simulations in MATLAB or Pspice in representing the modulation process.
Quantitative Measure: Compare simulation results with theoretical expectations and validate the correctness of the implemented models.
Demonstration of Improvements:

Baseline Comparison:

Compare the system performance metrics with a baseline scenario, such as a system without a bandpass filter or with a less efficient modulation process.
Impact of Bandpass Filter Design:

Evaluate the influence of different bandpass filter designs on system performance, demonstrating improvements achieved through careful filter selection.
Simulation Iterations:

Document and compare results from different iterations of the MATLAB or Pspice simulations, showcasing any enhancements achieved through iterative design processes.
Part 2: Normal AM Demodulation

Note: Similar evaluation criteria and demonstration of improvements can be applied to Part 2, focusing on the demodulation process.