This program is designed to calculate and visualize the impulse response, output signal, Fourier series coefficients, and Fourier transform of a given input signal.
The Signal Analysis and Visualization Tool is a Python program that allows users to analyze and visualize the characteristics of a given input signal. It calculates and displays the impulse response, output signal, Fourier series coefficients, and Fourier transform of the input signal.
With this tool, users can gain insights into the behavior of a signal, examine its frequency components, and understand the effects of convolution with an impulse response. The program provides both numerical outputs and visual representations of the analyzed signals and coefficients.
It serves as a useful tool for students, researchers, and engineers working in the field of signal processing, allowing them to explore and analyze various signals and gain a better understanding of their frequency content and behavior.
The program is written in Python and utilizes popular libraries such as numpy for numerical computations and matplotlib for plotting. It offers customization options to adjust parameters and settings according to specific analysis requirements.
The Signal Analysis and Visualization Tool is designed to be user-friendly, providing clear and concise results while allowing for further customization and expansion based on individual needs and preferences.
- Python 3.x
- Required Python packages: numpy, matplotlib
- Clone the repository or download the code files.
- Install the required packages by running the following command:
pip install numpy matplotlib
- Open the terminal or command prompt.
- Navigate to the directory where the code files are located.
- Run the program using the following command:
python Visualizer.py
- The program will display the input signal, output signal, Fourier series coefficients, and Fourier transform.
- The results will also be saved to a log file named
log.txtin the same directory.
- Modify the example input signal in the code to analyze different signals.
- Adjust the parameters and settings in the code to suit your specific analysis needs.
- Customize the plotting code to modify the appearance and layout of the generated plots.
- The code includes an example usage section that demonstrates the analysis and visualization for a sine wave input signal.
This project is licensed under the MIT License.
- The code was developed based on the concepts of signal processing and Fourier analysis.
