Explore: Signal Representation

parts of an analytic signal are real-valued functions related to each other by the Hilbert transform. The analytic representation of a real-valued function

theory is a framework for multi-scale signal representation developed by the computer vision, image processing and signal processing communities with complementary

or pyramid representation, is a type of multi-scale signal representation developed by the computer vision, image processing and signal processing communities

range constraints on the representation and adds quantization noise. The term analog signal usually refers to electrical signals; however, mechanical, pneumatic

the time representation, a signal is realized as a function of time (superposition of delta functions); in the frequency representation, signal is realized

modulation – Signal processing technique Pyramid (image processing) – Type of multi-scale signal representation Scale space – Framework for multi-scale signal representation

the electrical signal, while digital processors operate mathematically on its digital representation. The motivation for audio signal processing began

analog signals are continuous. An analog signal is any continuous signal for which the time-varying feature of the signal is a representation of some

the complex number representation of a sinusoid Analytic representation phase, instantaneous phase of an analytic signal representation Phase angle (astronomy)

dynamic range, extended dynamic range, or expanded dynamic range, is a signal with a higher dynamic range than usual. The term is often used in discussing