Signal processing techniques are methods used to analyze, modify, and synthesize signals, which can be anything from sound waves to digital images. These techniques help improve the quality of signals, extract useful information, and enable efficient transmission. Common applications include audio processing, image enhancement, and data compression. One popular technique is Fourier Transform, which breaks down complex signals into simpler components, making it easier to understand their frequency content. Another important method is filtering, which removes unwanted noise from signals, ensuring clearer communication. Together, these techniques play a crucial role in various fields, including telecommunications and medical imaging.