power spectral density (PSD), which describes how the power of a signal or time series is distributed with frequency. Here power can be the actual physical power, or more often, for convenience with abstract signals, can be defined as the squared value of the signal, that is, as the actual power if the signal was a voltage applied to a 1-ohm load.
Since a signal with nonzero average power is not square integrable, the Fourier transforms do not exist in this case. Fortunately, the Wiener-Khinchin theorem provides a simple alternative. The PSD is the Fourier transform of the autocorrelation function, R(Ï„), of the signal if the signal can be treated as a wide-sense stationary random process.
The power of the signal in a given frequency band can be calculated by integrating over positive and negative frequencies.
The power spectral density of a signal exists if and only if the signal is a wide-sense stationary process. If the signal is not stationary, then the autocorrelation function must be a function of two variables, so no PSD exists, but similar techniques may be used to estimate a time-varying spectral density.
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The energy spectral density describes how the energy (or variance) of a signal or a time series is distributed with frequency.
You can read more in Wikipedia 'Spectral Density', but you will need good maths to understand it!
Power spectral density is commonly expressed inwatts per hertz (W/Hz) or dBm/Hz. The spectral density of the wave, when multiplied by an appropriate factor, will give the power carried by the wave, per unit frequency, known as the power spectral density (PSD) of the signal. It can also be expressed in Energy spectral density also, depends upon the signal type and properties. In DSP, the spectrum density is generally calculated with the concept of DFT/FFT. The spectrum density plot (amplitude vs frequency) is simply called spectrum most of the time and for getting this plot spectrum scope can be used present in MATLAB/Similink.
A signal is said to be a band limited signal if all of it's frequency components are zero above a certain finite frequency. i.e it's power spectral density should be zero above the finite frequency.
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An engine with 2 pistons per cylinder is considered one of (if not the) the highest power densities. it is currently under development. It is called an opposed piston engine.
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