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  2. Energy (signal processing) - Wikipedia

    en.wikipedia.org/wiki/Energy_(signal_processing)

    Similarly, the spectral energy density of signal x(t) is = | | where X(f) is the Fourier transform of x(t).. For example, if x(t) represents the magnitude of the electric field component (in volts per meter) of an optical signal propagating through free space, then the dimensions of X(f) would become volt·seconds per meter and () would represent the signal's spectral energy density (in volts ...

  3. Numerically controlled oscillator - Wikipedia

    en.wikipedia.org/wiki/Numerically_controlled...

    where GCD is the greatest common divisor function. The GRR represents the true periodicity for a given Δ F {\displaystyle \Delta F} which for a high resolution NCO can be very long. [ 5 ] Usually we are more interested in the operating frequency determined by the average overflow rate, given by [ 6 ]

  4. Digital signal processing - Wikipedia

    en.wikipedia.org/wiki/Digital_signal_processing

    Digital signal processing (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide variety of signal processing operations. The digital signals processed in this manner are a sequence of numbers that represent samples of a continuous variable in a domain such as time, space ...

  5. Digital signal processor - Wikipedia

    en.wikipedia.org/wiki/Digital_signal_processor

    The MSC81xx is based on StarCore Architecture processors and the latest MSC8144 DSP combines four programmable SC3400 StarCore DSP cores. Each SC3400 StarCore DSP core has a clock speed of 1 GHz. XMOS produces a multi-core multi-threaded line of processor well suited to DSP operations, They come in various speeds ranging from 400 to 1600 MIPS ...

  6. Parallel processing (DSP implementation) - Wikipedia

    en.wikipedia.org/wiki/Parallel_Processing_(DSP...

    In digital signal processing (DSP), parallel processing is a technique duplicating function units to operate different tasks (signals) simultaneously. [1] Accordingly, we can perform the same processing for different signals on the corresponding duplicated function units.

  7. Pipelining (DSP implementation) - Wikipedia

    en.wikipedia.org/wiki/Pipelining_(DSP...

    Pipelining is an important technique used in several applications such as digital signal processing (DSP) systems, microprocessors, etc. It originates from the idea of a water pipe with continuous water sent in without waiting for the water in the pipe to come out. Accordingly, it results in speed enhancement for the critical path in most DSP ...

  8. Digital signal (signal processing) - Wikipedia

    en.wikipedia.org/wiki/Digital_signal_(signal...

    In the context of digital signal processing (DSP), a digital signal is a discrete time, quantized amplitude signal. In other words, it is a sampled signal consisting of samples that take on values from a discrete set (a countable set that can be mapped one-to-one to a subset of integers).

  9. Coherence (signal processing) - Wikipedia

    en.wikipedia.org/wiki/Coherence_(signal_processing)

    The coherence of a linear system therefore represents the fractional part of the output signal power that is produced by the input at that frequency. We can also view the quantity as an estimate of the fractional power of the output that is not contributed by the input at a particular frequency. This leads naturally to definition of the ...