Absolutely! Here’s a breakdown of 1D and 2D signals, along with some visual examples to make it clearer:
1D Signals
- Definition: A 1D (one-dimensional) signal is a signal that changes along only one dimension — typically time. In essence, its value depends on a single independent variable.
- Examples:
- Sound wave: The amplitude (volume) of a sound wave varies over time.
- Stock prices: Stock prices fluctuate over time.
- Electrocardiogram (ECG): An ECG measures the electrical activity of the heart over time.
2D Signals
- Definition: A 2D (two-dimensional) signal varies across two dimensions. Most commonly these dimensions are spatial (like the x and y positions within an image).
- Examples:
- Image: The brightness or color intensity of each pixel in an image changes based on its x and y position within the image.
- Geographic map: The elevation on a topographical map varies based on longitude and latitude coordinates.
- Medical imaging (X-ray or MRI scan): Intensity values in a medical scan represent different tissue types and vary across both x and y dimensions.