Introduction to Signal Processing

April 28, 2023
Justin Ankus

Signal processing

Signal processing refers to the practice of collecting, analyzing, and displaying data. This practice can be found in electronics, communication, and many other fields and can be applied to many different signals including audio, video and data signals.

Signal Processing

Signal processing refers to any method for translating information about physical world objects into messages or images that convey messages or pictures about those objects - from electrical, optical, sound pressure and temperature signals.

Signals generated from computers are called digital or logical signals.

Digital signals are represented by 1's and 0's that can be processed using mathematical functions to be manipulated in any number of ways, enabling analysis and manipulation in various forms.

Sampling is the process of converting an analog signal into its time-discrete equivalent by measuring its amplitude periodically and in small intervals. A sampled signal may also be quantized, whereby its measurements are approximated using values drawn from an finite set.

Filtering is another common technique in analog and digital signal processing, serving to remove unnecessary components from a signal.

Time-Shifting is another technique used to achieve various effects; most frequently it can make audio sources seem thicker or longer by altering their timing and amplitude. This type of processing has long been utilized and continues to remain popular today.

Noise is any disturbance of useful information caused by interference between its original signal or conversion/transmission process and other external factors. Noise can be effectively blocked out using low-pass and high-pass filters.

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