Random Sampler for 1D Slowly Varying Signals

Abstract

The invention discloses a random sampler suitable for one-dimensional slowly varying signals. The random sampler comprises a signal preprocessing unit, a slope controllable sawtooth wave signal generating unit, a signal comparing unit, a counting unit and a signal outputting unit; the signal preprocessing unit is used for preprocessing input signals; the slope controllable sawtooth wave signal generating unit is used for generating slope controllable sawtooth wave signals and achieving zero clearing processing; the signal comparing unit is used for comparing the input signals which are input through the signal preprocessing unit with the sawtooth wave signals which are generated by the slope controllable sawtooth wave signal generating unit and outputting pulse signals to the slope controllable sawtooth wave signal generating unit and a signal transmitting unit when the input signals and the sawtooth wave signals are the same; the counting unit is used for staring to count clock signals when the sawtooth wave signals are generated by the slope controllable sawtooth wave signal generating unit and transmitting to the signal outputting unit; the signal outputting unit is used for outputting the number the counting unit counts currently after the pulse signals which are output from the signal comparing unit are received. The random sampler suitable for the one-dimensional slowly varying signals has the advantages of being low in sampling rate, low in hardware complexity, easy to achieve and small in occupied storage space.

Description

technical field [0001] The invention relates to the technical field of signal acquisition, in particular to a random sampler suitable for one-dimensional slowly changing signals. Background technique [0002] Traditional signal sampling usually adopts periodic sampling with a fixed frequency, following the Nyquist sampling theorem, and the minimum sampling rate is twice the signal bandwidth. Although this sampling method can ensure a relatively perfect recovery of the signal, it wastes hardware resources and storage space to a certain extent. In recent years, with the introduction of compressed sensing, the limitation of the Nyquist law has been broken, and sampling methods lower than the Nyquist frequency have been explored. [0003] A current sampler below the Nyquist frequency is called an Analog to Information Converter (AIC), which uses a random sampler mixed with a pseudo-random sequence, such as figure 1 As shown, the random sampler first uses pseudo-random sequence...

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Problems solved by technology

[0007] In order to overcome the above-mentioned defects in the prior art, the present invention provides a random sampler suitable for one-dimensional slowly changing signals to solve the problem of high complexity of the random sampling circuit and achieve the purpose of simplifying the circuit

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