8 results about "Multi rate" patented technology

The application provides a kind of multi-rate adaptive compatible coherent demodulation method and device, belong to coherent demodulation technical field;The method comprises: the pre-treatment of coherent light signal;Adopt the double-stage mechanism of coarse identification and fine identification combination to automatically identify the rate and modulation format of signal, wherein fine identification utilizes lightweight CNN classifier;According to the recognition result, adaptively configure the core demodulation parameters such as sampling rate, equalizer order, operation bit width and carrier recovery algorithm;Through the unified configurable modular architecture, complete synchronization, equalization, carrier recovery and other demodulation processing;Soft decision is made to demodulated signal and real-time monitoring performance index;According to the monitoring result, closed-loop dynamic fine tuning is carried out on demodulation parameter;The application realizes the automatic identification and compatible demodulation of 100G / 200G / 400G and PM-QPSK / PM-16QAM signal, and is suitable for general coherent acquisition platform, intelligent optical network receiver and multi-rate optical communication tester.

This application discloses an LVDS adaptive frame synchronization system, comprising: a transmitting end: a clock generation module providing multi-rate clocks; a data parallel-to-serial conversion module converting parallel data into a high-speed serial bit stream under clock control; a multi-functional auxiliary channel parallel-to-serial conversion module interleaving and encoding auxiliary control information and synchronization information into a composite bit stream; and an LVDS driver group converting signals into differential signals for transmission. The receiving end: an LVDS receiver group converts differential signals into single-ended signals, including multiple data signals, one auxiliary channel signal, and one half-rate clock signal. A serial-to-parallel conversion and synchronization control module uses a half-rate clock to perform DDR sampling of the data and auxiliary channel signals. Synchronization information is extracted by sampling on the falling edge of the auxiliary channel signal, and auxiliary control information is extracted by sampling on the rising edge. A synchronization detection unit obtains the capture sequence from the synchronization information, and a numerically controlled delay unit calculates the delay correction amount based on the mapping relationship between the capture sequence and the correction signal to delay the data, thereby achieving adaptive frame synchronization.

The embodiment of the application discloses a dynamic phasor representation DC power system random transient analysis method, relates to the power electronic field of the DC power system, and can reflect system characteristics caused by source-load random excitation conditions and multi-rate simulation, and balance the contradiction between precision and efficiency. The application comprises the following steps: obtaining DC power system parameters and setting initial parameters; obtaining circuit models of two types of lumped elements in the DC power system; establishing a dynamic phasor model of a converter station in the DC power system and obtaining a dynamic companion circuit of the converter station; using the circuit models of the two types of lumped elements and the dynamic companion circuit of the converter station, establishing a model of the DC power system; obtaining node voltage equations of the DC power system; updating a node admittance matrix and an injected current vector according to changes in a switching function of the converter station; and converting dynamic phasors output by the model of the DC power system into instantaneous values.

This invention discloses an elastic control method for linear uncertain systems based on multi-rate state measurement information. The method includes establishing a linear dynamic model and a state estimation model based on multi-rate state measurement information of the controlled system; acquiring state measurement information of the controlled system; resetting the state of the state estimation model based on the state measurement information; designing an elastic control law based on the linear dynamic model and the state estimation model; inputting control commands based on the elastic control law into the actuator to stabilize the state of the controlled system; and controlling the system with a period T. s The above process is repeated at intervals until control ends. This invention can maintain stable system operation even when there are parameter uncertainties, actuator errors, and irregular updates of state measurement information.

The application provides a three-level inverter multi-rate control method, for any control axis of alpha beta 0: a voltage target value is subtracted from an actual value to obtain a voltage deviation, and a subscript is a control axis code; a repetitive controller is used as an input quantity, and an output result obtained is added to obtain; a state feedback controller is based on phase currents of alpha beta 0 and a control signal at a previous moment to output a control signal, and finally, the inverter is controlled to operate via 3D-SVPWM. The three-level inverter multi-rate control method can improve the dynamic performance and phase characteristics of the system by introducing the state feedback controller under the multi-rate control framework, configuring the closed-loop poles of the inverter discrete model, and thereby improving the stability of the system under the condition of downsampling.

The disclosure relates to a system for performing multi-rate convolution in a neural network is disclosed. The system may include a multi-rate convolution engine that may include a plurality of Multiply and Accumulator (MAC) modules. Each of the plurality of MAC modules may be configured to perform a convolution operation by applying a filter on image data, to generate convolution data. The system may further include a local controller coupled to the multi-rate convolution engine. The local controller may be configured to activate the multi-rate convolution engine to perform a multi-rate convolution. The multi-rate convolution may include receiving a first input signal indicative of a convolution rate, a feature size, and a network load, and selecting a set of MAC modules from the plurality of MAC modules, based on the convolution rate and a filter size, and causing the set of MAC modules to parallelly perform the convolution operation.