resamplingchanging
Resampling is a technique used in signal processing, statistics, and data analysis to alter the sampling rate of a signal or dataset. The process involves converting a signal or data sample from one sampling rate to another, which can be either upsampling (increasing the sampling rate) or downsampling (decreasing it). This method is essential in various applications, including audio processing, image reconstruction, and machine learning, where adjusting the resolution or granularity of data is necessary.
In audio processing, resampling is commonly employed to match the sampling rates of different audio files,
In statistics and machine learning, resampling techniques like bootstrapping or cross-validation involve repeatedly sampling from a
Downsampling reduces the sampling rate, which can simplify computations and reduce storage requirements. However, it may
Proper resampling requires careful consideration of the original signal’s characteristics and the intended use of the