469 results about "Gain parameter" patented technology

A three phase control arrangement is employed after visual detection of a target at greater range than otherwise available. The first and last phases employ an optimization criterion for which errors do not vary with distance from a target; limiting the initial error and process error in an intermediate phase which controls approach trajectory to the intended docking location and yielding repeatable high accuracy docking. The three phase approach with different control criteria and control gain parameters makes feasible a docking maneuver that begins at a much greater range and potentially greater lateral separation from the destination than would otherwise be possible, while providing control of both the final location and final orientation of the vehicle. A preferred visual thresholding technique provides consistency of results over a wide range of illumination and contrast conditions while limiting the computation burden for target image acquisition and tracking.

A gain compensation device for adjusting gain of an amplifier over temperature is disclosed. The gain of the amplifier is controlled by signals on a gain control end of the amplifier. The gain compensation device comprises a temperature compensation generator, an adder, and a temperature sensor. The temperature compensation generator is for generating an additional gain parameter according to a reference temperature, a current temperature, and a temperature coefficient. The adder comprises a first input end, coupled to the temperature compensation generator for receiving the additional gain parameter, a second input end for receiving a default gain parameter, and an output end coupled to the gain control end of the amplifier for outputting sum of the additional gain parameter and the default gain parameter. The temperature sensor is for providing the current temperature.

The invention discloses an automatic white balance method and relates to an image adjustment method, which is suitable for image processing, wherein the time of generating second image data is before the time of first image data. The method comprises the following steps: imputing the first image data; adjusting the color of the first image data according to a color gain table; executing an object detection procedure so as to remove at least one foreground object and obtaining a target background; and carrying out color difference analysis on the target background so as to decide at least one image gain parameter. The invention can automatically adjust white balance by carrying out the color difference analysis on the background.

The invention relates to a method for automatically adjusting image brightness. Wherein, it comprises that calculating out the image brightness of present frame generated by imager; calculating out the automatic exposure; outputting exposure parameters and electric gain parameters to adjust the output next image of viewer; and it also comprises that calculating out the brightness of appointed region of present frame generated by viewer, to be compared with preset threshold value; when it is lower, increasing the brightness. The invention discloses a relative automatic imager. The invention can adjust the brightness of local area, to improve its contrast and image quality.

A speech communication system and method with an improved method for handling lost information during transmission from an encoder to a decoder. More specifically, the improved speech communication system can more accurately recover lost information about a speech frame, such as line spectral frequency (LSF), pitch lag (or adaptive codebook excitation), fixed codebook excitation and/or or gain information. To handle missing LSFs, the improved speech communication system sets the minimum spacing between LSFs to an increased value, and then optionally decreases this value for subsequent frames in a controlled adaptive manner. To deal with a missing pitch lag, the improved system estimates the pitch lag for the missing frame by extrapolating from the pitch lags of previously received frames. When the improved decoder receives the pitch lag of a subsequently received frame, the system uses a curve fit between the pitch lag of the previously received frame and the pitch lag of the subsequently received frame in order to fine-tune its response to the An estimate of the pitch lag of the lost frame is used to adjust and correct the adaptive codebook buffer before it is used by subsequent frames. In dealing with loss gain parameters, the improved system estimates loss gain parameters depending on whether the speech is periodic or aperiodic, whether the loss gain parameters are adaptive codebook gain parameters or fixed codebook gain parameters, and other factors , such as the average adaptive codebook gain parameter of an adaptive number of subframes of previously received frames, the ratio of the adaptive codebook excitation energy to the total excitation energy, the spectral tilt of previously received frames and/or the previously received frame energy. If the speech communication system does not send fixed codebook excitation values ​​to the decoder, the improved encoder/decoder generates the same random excitation values ​​for a given frame using a seed value whose value is determined by information in that frame. After estimating loss parameters in a lost frame and synthesizing speech, the improved system matches the energy of the synthesized speech to the energy of a previously received frame.

In methods and apparatus for encoding a gain parameter in a generalized linear predictive analysis-by-synthesis (GLPAS) coder, a subframe gain parameter is determined for each of a plurality of successive subframes of a frame, and a quantized frame gain parameter is determined for each frame using a delayed decision quantizer operating on the subframe gain parameters. The subframe gain parameters may be treated as components of a gain vector and the gain vector may be vector quantized to determine the quantized frame gain parameter. Encoder parameters are efficiently aligned with decoder parameters to ensure proper end-to-end operation. Alternatively, tree quantization or trellis quantization may be applied to the subframe gain parameters to determine the quantized frame gain parameter. The methods and apparatus are particularly applicable to low bit rate speech coding.

The invention discloses a method, device and terminal for picture processing, and relates to the field of data processing. The method, device and the terminal enable shot pictured to be clearer, and picture processing efficiency is effectively improved. The method includes the steps of obtaining current ambient brightness for photographing and photographing movement speed of a target object, determining an exposure parameter and a gain parameter according to the current ambient brightness for photographing and the movement speed of the target object, and processing the picture of the obtained target object according to the exposure parameter and the gain parameter. The method, the device and terminal can be used in data processing technology.

The invention discloses a linear prediction speech coding method and a speech synthesis method. The linear prediction speech coding method includes the following steps: speech is preprocessed; second-order backward linear prediction is carried out on the preprocessed speech, so that a residual signal is obtained; wavelet decomposition and compression are carried out on the residual signal, so that a wavelet coefficient is obtained, vector quantization is carried out on the wavelet coefficient, and meanwhile, the pitch period and gain parameters of the residual signal and the unvoicing and voicing characteristic of each sub-band are calculated and respectively and scalarly quantized. The speech synthesis method is based on the linear prediction speech coding method. After being adopted, the technical scheme of the invention can reduce the affection of noise on the quality of decoded speech, inhibit the deterioration of speech quality when unvoicing and voicing judgment is mistaken and improve the performance of coding unvoiced speech or background noise.

A servo system adaptive sliding mode control method based on an extended-state observer comprises establishing a servo system model, initializing a system state and a control parameter, performing approximate compensation on a saturation link, designing a non-linear extended-state observer, determining an observer parameter by utilizing a pole placement method, and designing an adaptive sliding mode controller. The extended-state observer is designed and is used to estimate the system state and uncertain items comprising system friction and an external disturbance, and the observer gain parameter is determined through adoption of the pole placement method; and the adaptive sliding mode controller is designed, a system tracking error is guaranteed to be rapid and stable and to converge to zero, and rapid and stable control of a servo system is finally achieved. The problem that the system friction and other external disturbances are unmeasured is solved, a non-linear saturation link influence existing in the system is compensated, a buffeting problem existing in an ordinary sliding mode method is improved, robustness of the system is enhanced, and the system can rapidly and stably track a desired signal.

A control system for an automotive vehicle (10) and method for operating the same includes a controller (26) that is used to control the brake system in response to an adaptive brake gain coefficient. The adaptive brake gain coefficient may be used by a safety system so that a desired brake torque is applied to the wheel.

The invention discloses a multi-target control method of an automobile driving suspension system, relates to a control method, and particularly relates to the a multi-target control method of an the automobile driving suspension system, which aims. In order to solve the problems that the a design model in the existing suspension control technology is simpler, and can not meet the multi-target control performance of the a suspension system and can not eliminate the influence of external uncertain parameters on the control performance of the system, the invention provides a multi-target control method of the automobile driving suspension system. The multi-target control method is implemented by the following steps of: (1) establishing a quarter of non-linear uncertain driving suspension system model; (2) deducing a self-adaptive back-stepping recursive controller; and (3) adjusting a control gain parameter of the self-adaptive back-stepping recursive controller. The multi-target control method disclosed by the invention is applied to in the field of automobile driving suspension control.

The embodiment of the invention provides a device waking up method for an acoustic networking. The method comprises the steps that gain parameters of intelligent voice devices with various types are determined; the intelligent devices under the acoustic networking are monitored, and when the intelligent voice devices are woken by waking up commands, the voice frequency recorded by the intelligent voice devices and the confidence coefficient of the waking up commands are obtained; voice frequency energy recorded correspondingly are analyzed according to the gain parameters to achieve gain calibration, and according to the distance and the direction of all to-be-selected intelligent voice devices and a user, at least the distance and the direction of all the to-be-selected intelligent voice devices and the user, and the confidence coefficient of the waking up commands are input into a pre-trained neural network, and thus information fusion analyzing is conducted, and the intelligent devices for feeding back the user is woken. The embodiment of the invention further provides a device waking up system for the acoustic networking. According to the embodiment, the allocation requirements of intelligent voice in the acoustic networking are lowered, the target acoustic device for feeding back is effectively determined, and the interactive experience of the user is improved.

An executor input saturation control method of an automobile active suspension system relates o executor input saturation control methods. The executor input saturation control method of the automobile active suspension system mainly solves the problems that existing design models are too simple to meet the requirements of executor saturation control of automobile suspension systems or cope with the influence of uncertain parameters and comprises the steps such as, firstly, establishing a nonlinear uncertain time-delay active suspension system model; secondly, deducting a self-adaption back stepping recurrence controller based on an instruction filter; thirdly, adjusting control gain parameters of the self-adaption back stepping recurrence controller. The executor input saturation control method of the automobile active suspension system is applicable to the field of automobile active suspension control.

The invention provides a multichannel large-dynamic range data acquisition system, which is realized on the basis of FPGA. The data acquisition system comprises multiple paths of parallel data acquisition channels used for conditioning and amplifying to-be-detected analog signals and converting the analog signals after conditioning and amplifying into digital signals, an acquisition control module used for controlling and managing each data acquisition channel, that is, starting or stopping command of each channel, issuing of gain parameters, arrangement and extraction of data of each data acquisition channel and packing of upload data, a bus control module used for controlling the multichannel large-dynamic range data acquisition system to access and communicate with an external bus according to a CPCI bus protocol and self defining DSP and MCU interface, and a clock management module used for providing clock for the analog-to-digital converter of each data acquisition channel, the acquisition control module and the bus control module.

The invention discloses an image definition detection method. The image definition detection method comprises the following steps: acquiring image data, wherein the image data are output by a camera module according to a preset exposure gain parameter; acquiring gray values of the image data according to image data formats of the image data; calculating a mean value and a mean square error of the acquired gray values, and acquiring a maximum gray mean value and a minimum gray mean value according to the mean value and the mean square error; and calculating image definition according to the maximum gray mean value and the minimum gray mean value in order to perform image definition detection by comparing the image definition with a preset threshold value. The invention also discloses an image definition detection device which is matched with the image definition detection method, and test equipment. Through adoption of the image definition detection method and device and the test equipment, the discreteness of the image definition can be reduced, and the consistency of the camera module is improved.

The invention relates to a closed-loop control method for achieving active power adjustment by introducing frequency deviation feedback to have control over voltage, and an obtaining method of an optimal feedback gain parameter in the closed-loop control method. According to the closed-loop control method for achieving active power adjustment by introducing the frequency deviation feedback to have control over the voltage, due to the facts that an isolated power grid has the characteristics that the active power adjustment capacity is not sufficient, and a special load characteristic of a rectification load exists, the load power is adjusted through a method for adjusting voltage of a load bus, and the frequency deviation is introduced into an excitation regulator to serve as feedback input, a voltage closed-loop control method based on frequency information is achieved. Unbalanced power which exists after a system fault happens is distinguished through a WAMS system in an on-line mode, and a WAMS voltage closed-loop control optimal feedback gain parameter is calculated in an on-line mode on the basis of the load characteristic and a voltage sensitivity method and in the mode that the primary frequency adjustment capacity of a generating unit is taken into account. The effectiveness of the obtaining method of the optimal feedback gain parameter and the effectiveness of the closed-loop control method for achieving active power adjustment by introducing frequency deviation feedback to have control over the voltage are verified through RTDS simulation.

A particular method includes determining, based on an inter-line spectral pair (LSP) spacing corresponding to an audio signal, that the audio signal includes a component corresponding to an artifact-generating condition. The method also includes, in response to determining that the audio signal includes the component, adjusting a gain parameter corresponding to the audio signal. For example, the gain parameter may be adjusted via gain attenuation and/or gain smoothing.

A multi-mode digital down-converter for down-converting an incoming IF signal to baseband according to a selected air interface standard. The down-converter comprises a re-configurable gain control block controlled by a first gain parameter for amplifying the incoming IF signal and a mixer stage for down-converting the amplified incoming IF signal to produce a first in-phase baseband signal. The down-converter further comprises a reconfigurable CIC decimation filter block controlled by a second gain parameter and a first decimation parameter. The reconfigurable CIC decimation filter block filters the first in-phase baseband signal according to the second gain parameter and decimates the first in-phase baseband signal according to the first decimation parameter. The first and second gain parameters and the first decimation parameter are determined by the selected air interface standard.