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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# EN1094-Laboratory-Practice\nThis repository contains codes and materials related to the EN1094 course's laboratory practice on Signals, Circuits, and Systems.(Specially focused on Signals Labs))\n\n## Workshops\n\n### Signals in Time Domain\n\n- **Real CT Sinusoid**: Explore the representation of a real continuous-time sinusoidal signal.\n- **Real CT Exponential**: Understand the characteristics of a real continuous-time exponential signal.\n- **Growing Sinusoidal Signal**: Analyze the properties of a growing sinusoidal signal.\n- **Real DT Exponential**: Investigate a real discrete-time exponential signal.\n- **DT Sinusoids**: Study discrete-time sinusoids and their properties.\n- **General Complex Exponential Signals**: Examine general complex exponential signals.\n- **Transformation of the Independent Variable**: Explore the transformation of the independent variable in signals.\n- **Observing a Signal in Frequency Domain**: Learn how to observe a signal in the frequency domain.\n- **Simple Audio Effects**: Implement simple audio effects using signal processing techniques.\n\n### Signal Analysis in Frequency Domain\n\n- **Fourier Series Approximation**: Understand Fourier series approximation and its application.\n- **Fourier Series Coefficients**: Calculate Fourier series coefficients for various signals.\n- **Ideal Filters and Actual Filters**: Compare ideal filters with actual filters and their characteristics.\n- **Removing Power Line Noise in an ECG Signal**: Implement techniques to remove power line noise from an ECG signal.\n\n### Linear, Time-Invariant Systems\n\n- **Continuous-Time Systems: Convolution Integral**: Learn about convolution in continuous-time systems.\n  - **Implementing Convolution Using Numerical Integration**\n  - **Convolving with a Signal Composed of Impulse Functions**\n- **Discrete-Time Systems: Convolution Sum**: Understand convolution in discrete-time systems.\n- **An Application in Audio Signal Filtering**: Apply convolution to filter audio signals.\n- **Convolution Sum in 2-D**: Extend convolution to two-dimensional signals.\n- **Application: Using Convolution to Filter an Image**: Apply convolution to filter images.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feshansurendra%2Fen1094-laboratory-practice","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Feshansurendra%2Fen1094-laboratory-practice","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feshansurendra%2Fen1094-laboratory-practice/lists"}