46results about How to "The comparison is accurate" patented technology

The invention provides a single-tube learning amplifying circuit which comprises a micro control unit and an infrared receiving network. The micro control unit includes a power supply monitoring module and an adjustable loading resistor, wherein the power supply monitoring module is connected to a working voltage in an inputted mode, the power supply monitoring module is connected to a core processor in an inputted mode, one end of the adjustable loading resistor is connected to the working voltage, and the other end of the adjustable loading resistor is connected to a comparator negative terminal input port. According to the single-tube learning amplifying circuit, the problem of learning performance decline, caused by the fact that a remote control battery level is reduced, can be markedly improved, and therefore learning effect on the condition of a low voltage can be ensured, and cost of production and products is effectively reduced.

The invention claims protection of a pulse neural network neuron circuit based on a LIF (Leaky Integrate and Fire) model, which belongs to the field of integrated circuit design. The circuit mainly includes: a membrane potential accumulation circuit, a leakage circuit, a pulse generation circuit, a refractory period circuit and a reset circuit. The invention not only realizes the integral leakage ignition function of the LIF neuron model, but also simulates the refractory period characteristic of the biological neuron, wherein the refractory period is adjustable. The present invention is based on CMOS technology, the circuit structure is simple, and the sub-threshold region MOS tube is mostly used in the circuit, so that the neuron circuit has ultra-low power consumption characteristics; the input current of the circuit is pA level, and the output pulse frequency is Hz level, which can be very good It simulates the typical working state of biological neurons, effectively realizes the functions of neurons, and can be used to realize large-scale spiking neural network systems.

The invention discloses an antenna array calibration method and a system. The problem of data distortion in background technology can be solved. The antenna array calibration method comprises the steps of receiving calibration information from a digital signal processor (DSP) in a radio frame, wherein the calibration information comprises an average power value of a calibration sequence, a known symbolic number where the calibration sequence lies and known calibration enable signals; calculating and obtaining the average power value of the calibration sequence by the DSP according to all data of the known calibration sequence; searching a calibration sequence in a second radio frame according to the symbolic number where the known calibration sequence lies and the known calibration enable signals and comparing the received average power value of the calibration sequence of the searched calibration sequence with known target gain; and regulating the gain according to the comparative result and completing antenna array calibration. The antenna array calibration method and the system improve the precision of the average power value of the calibration sequence, and avoid the condition of data distortion and the influence on the calibration sequence after a compression algorithm is introduced.

The invention discloses an edition release multi-edition upgrading method. The edition release multi-edition upgrading method comprises the steps that when a server stores edition release, an upgrade catalog of a corresponding type is set for versions of each type; according to the upgrade catalog, upgrade sub-catalogs of the versions are set for the versions of the same type; version upgrade requests sent by clients are received, and information of the upgrade sub-catalog of the current version of the client is read; according to the upgrade sub-catalog of the current version, the other versions of the same type are obtained; the stored upgrade versions are matched with the information of the current version of the client respectively, and the upgrade version is obtained; the versions of the same type of the current type correspond to the new upgrade versions respectively; according to the number of the upgrade versions, the same number of clients are selected from all the clients requesting upgrading to be used as samples of the upgrade versions, and the upgradable allowance of each sample is judged; when the upgrade allowance of the sample is enough, the corresponding upgrade versions and the related upgrade information are returned to the request clients inside the samples.

The present invention provides a method for collecting signals and a device with multi-channel signal collection, wherein the MCU module first collects the analog signal amplified by the signal amplification module, and then obtains the compared digital signal through the signal comparison module, thus realizing the The combination of digital signal and analog signal acquisition method avoids the single acquisition of digital signal and the inability to know the amount of analog signal. The rapid acquisition of digital circuits and the complete acquisition of analog signals are fully combined and applied to infrared touch, which improves the scanning speed of infrared touch and greatly improves the convenience of production.

The invention discloses a multi-version parallel upgrading control method comprising steps that a server receives a version upgrading request sent by a client; current version information related to the client and carried in the version upgrading request is read; an upgraded version stored in the server is matched with the current version information of the client to acquire at least one upgraded version; according to upgraded version numbers, clients with the same number as the clients requiring upgrade are selected to be a sample of each upgraded version; the selected number is named as a start margin of each sample; upgrade available margin of each sample is determined in parallel; and when enough sample upgrade margin exists, a corresponding upgraded version and related upgrading information are returned to the client giving the request in the sample. Multi-versions can be upgraded at the same time; and linear increase of version upgrading time can be avoided, so version upgrading time can be shortened.

The invention discloses a current comparator and a comparison method for correcting a current steering digital-to-analog converter, which are applied to a high-speed and high-precision current steering analog-to-digital converter, and relate to a current comparison method. The current comparison of the current steering DAC is realized through a set of additional resistors and capacitors, without a separate current comparator, making the circuit simpler and the comparison result more accurate.