The estimation of signal energy is an important part of physics and si
gnal processing, A commonly used energy estimate in signal processing
is instantaneous energy that is defined by the square of the signal ma
gnitude at time t, i.e., \x(t)\(2). For a noisy signal, a standard ene
rgy detector, which consists of a linear time-invariant (LTI) filter f
ollowed by a magnitude-squared operator, is commonly used to reduce no
ise and extract signal energy in a certain frequency band. However, du
e to the temporal response of the LTI filtering, this energy estimate
is smeared in time, In addition, it is unclear how this estimate relat
es to the physical energy in the system that produced the signal, In t
his paper, we propose simple quadratic systems producing frequency-sel
ective energy estimates and effective noise reduction with little or n
o smearing in time, We introduce the new concept of quadratic detector
s, discuss desirable time and frequency resolution properties of a gen
eral quadratic detector, and study five different applications to demo
nstrate the simplicity of quadratic detector design and implementation
.