DSPteknik
DSPteknik refers to the field of digital signal processing (DSP) techniques. It concerns the numerical manipulation of signals after they are converted to digital form, with goals such as extracting information, reducing noise, shaping spectra, or synthesizing signals for playback or transmission. The discipline blends mathematics, computer science and electrical engineering and is applied across many industries and research areas.
Core concepts include sampling and quantization, digital filtering (FIR and IIR), convolution and spectral analysis using
Implementation occurs on dedicated DSP processors, general-purpose CPUs, GPUs, or FPGAs. Common toolchains include MATLAB or
Applications span consumer electronics, telecommunications, multimedia and sensing. Examples include audio effects and equalization, noise reduction,
Education and research in DSPteknik cover digital filter design, spectral estimation, digital communications and signal reconstruction,