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Digital signal processing (DSP) is the theoretical and technical discipline that performs numerical computational operations upon discrete-time digital signal sequences obtained via sampling and quantisation of continuous analogue physical signals ^[1]. Typical computational operations include digital filtering, frequency-domain spectral transformation, feature extraction, noise suppression, signal reconstruction and parameter estimation. Unlike analogue signal processing which manipulates continuous physical waveforms directly through electronic circuits, all processing operations are completed by arithmetic calculation of discrete sampled numerical values ^[2]. Its theoretical framework applies universally across multiple signal modalities including audio, image, radio communication, biomedical and time-series sensor data. This concept covers both mathematical algorithm theory and corresponding hardware implementation principles for executing those algorithms on dedicated digital processing platforms ^[3].