MATLAB Program for White Noise Data Generation

This MATLAB program generates white noise data through a systematic three-step approach. The implementation begins by utilizing MATLAB's built-in random number generator (typically randn() for Gaussian distribution) to create an initial noise sequence. The generated random numbers are then processed through a digital filter designed to shape the noise spectrum into white noise characteristics - this typically involves ensuring a flat frequency response across the desired bandwidth. For optimal white noise generation, the program may employ filter design functions like fir1() or butter() to create appropriate band-limiting filters. Finally, the processed white noise signal is exported to a .wav audio file using MATLAB's audiowrite() function, with configurable parameters for sampling rate and bit depth. This program serves as an excellent educational tool for understanding white noise properties through practical implementation, while providing reliable data generation capabilities for research applications requiring standardized noise signals. The key algorithmic components include: - Random number generation with proper statistical properties - Digital filter implementation for spectral whitening - Audio file export with industry-standard formatting - Parameter customization for different sampling rates and signal durations