67results about How to "Perceived effect is good" patented technology

The invention discloses a cooperative spectrum sensing method based on characteristic values. The new cooperative spectrum sensing method based on the characteristic values - SMEE method is provided under an MIMO multi-channel environment. According to the method, a spectrum sensing threshold is obtained through Monte Carlo simulation, and the threshold is compared with the ratio between the maximum characteristic value and the minimum characteristic value lambda max / lambda min of the covariance matrix of received signals to judge whether signals of an authorization main user exist. The method does not need the priori knowledge of channels and signals, is not affected by the uncertainty of noise, effectively improves the sensing performance of spectrum sensing under the conditions of a low signal-to-noise ratio and small samples, and can carry out normal sensing under any given dimension.

The invention provides an infrared and visible light information fusion navigation method based on bionic vision. The method at least comprises the following steps: (1) image enhancement preprocessing: processing a visible light gray scale gradient problem and a noise problem of an infrared image in an acquired image by adopting a Gauss-Laplace operator; (2) image registration, wherein the main purpose of image registration is to remove or suppress inconsistency of geometric space between an image to be registered and a reference image; (3) image fusion: simulating an ON confrontation system by using a Gaussian function to obtain an enhanced image, simulating the confrontation system by using a logarithmic function to obtain a suppressed signal image, then forming a pseudo-color image, andperforming color distortion correction; and (4) visual navigation. The navigation method has the excellent characteristics of strong anti-interference performance, good imaging capability and high resolution, and meanwhile, the image registration algorithm based on the salient region is adopted, so that the registration real-time performance is high, and the navigation algorithm is high in speed.

The invention discloses a code rate allocation method and device. The method comprises the steps that a current frame image is acquired; the current frame image is classified into a salient region and a non-salient region, wherein the saliency measure of the salient region is higher than the saliency measure of the non-salient region; different code rate resources are allocated to the salient region and the non-salient region, wherein code rate resources allocated to the salient region are more than code rate resources allocated to the non-salient region. According to the invention, the technical problem that the effect of a code rate allocation method in the related art is poor relative to human eye perception is solved.

The invention provides a flexible quadruped robot. The flexible quadruped robot mainly solves the problem that an existing quadruped robot has low topographic adaptation capacity. The flexible quadruped robot is characterized in that a hydraulic drive mode is adopted in a drive part of a robot structure, internal knee and elbow type joints are adopted in a leg structure, and a hip, thighs, shanksand bones of feet are connected through three rotary joints; a flexible trunk is composed of front and rear supporting frames and a flexible spine, the front and rear supporting frames are connected with the hip so as to connect a four-leg part, the flexible spine is composed of two spring plates symmetrically mounted and four groups of hydraulic cylinders distributed up-down and left-right to enhance the stability of mechanisms; and a side-sway structure is arranged between the hip and the supporting frames, the freedom degree of an elevation angle direction is provided for the robot, and therobot realizes the motion of the mechanisms of all parts through a hydraulic drive mode. The flexible quadruped robot can improve the motion stability and harmony of the robot, and has the characteristic that driving force is large so as to walk at high speed under the condition of high load.

The invention discloses an automatic equalization optimization method and system of wireless channel resources and belongs to mobile communication field. The method comprises steps of: acquiring telephone traffic statistic data of a cell to be optimized; computing the required amount of voice service channels and the required amount of data service channels of the cell to be optimized according to the telephone traffic statistic data; and performing equalization optimization on the voice service channels and the data service channels of the cell to be optimized according to the required amount of voice service channels and the required amount of data service channels and in combination with a network configuration parameter of the cell to be optimized. The method and the system are based on the real-time telephone traffic statistic data, achieve automatic equalization optimization of the data service and the voice service in the cell, and effectively improve the data and voice access and sensing performance of the cell. Compared with a manual optimization method, the method greatly improves the optimization efficiency and optimization effect of the wireless channel resources of the cell, and better satisfies the application demands of a user.

The invention discloses a frequency spectrum sensing method, which comprises the following steps of acquiring radio sampling signals; carrying out noise reduction processing on the sampling signals inorder to obtain noise reduction signals; carrying out splitting and recombination on the noise reduction signals according to a DAR splitting and recombination technology in order to obtain two signal matrixes; respectively computing a difference of a maximum eigenvalue and a minimum eigenvalue according to the eigenvalues of the two signal matrixes in order to obtain a two-dimensional eigenvalue; and carrying out feature classification and division on the two-dimensional eigenvalue in order to obtain a classification result of the radio sampling signals. According to the method, the signalsare subjected to DAR splitting and recombination, and then signal feature information is extracted through THE DMM, the detection performance of a spectrum can be better improved under a condition that the number of cognitive users is small and a signal-to-noise ratio is low, the spectrum sensing performance is improved, the spectrum sensing effect is optimized, and accurate classification of thesampling signals is achieved. The invention further discloses a spectrum sensing device, equipment and system and a readable storage medium, which have the beneficial effects.

The invention discloses an information display output system, an output control method and an output control server, which aim at solving the problems of poor sensing effect of users and low efficiency during processing in the service process requiring users to participate and complete. The system comprises a first output control server, a first display terminal, a second output control server and a second display terminal, wherein the first output control server is used for outputting first information to be displayed and is used for sending second information related to the first information and template marks corresponding to the second information, the first display terminal is used for displaying the first information output by the first output control server, the second output control server is used for receiving the second information sent out by the first output control server and the template marks corresponding to the second information, finding corresponding templates in the template base according to the received template marks, synthesizing the received second information and the found templates into display page information and outputting the synthesized display page information, and the second display terminal is used for displaying the display page information output by the second output control server.

The invention discloses a multi-antenna cooperative spectrum sensing method based on information geometry and a differential evolution clustering algorithm. The multi-antenna cooperative spectrum sensing method comprises the following steps: dividing a received signal Xj into two clusters according to a clustering mode, i.e., respectively carrying out the principal component analysis of the sum, and correspondingly obtaining and constructing covariance matrixes R1 and R2 corresponding to the sum and the construction; extracting signal features according to information geometry; in an noise environment, performing clustering processing and principal component analysis processing on the P noise signal matrixes to obtain a sum, calculating a corresponding Riemann mean value, and mapping the covariance matrixes R1 and R2 obtained in the step S2 to a statistical manifold; and taking the Riemannian mean value sum as a reference point, and analyzing the distances d1 and d2 between the pointsto obtain a signal feature T. According to the technical scheme, a threshold does not need to be calculated, and whether the main user exists or not is judged through the differential evolution clustering algorithm, and higher judgment precision is achieved.

In a method and an acoustic system that generate a stereo signal for each of multiple. separate sources, a blind source separation of at least two microphone signals is conducted to acquire BSS filters. Each of the microphone signals is filtered with its own filter transfer function that is the quotient of a power density spectral portion of the respective sound source and the overall power density spectrum of the respective microphone signal, such that two stereo signals are obtained for each microphone signal. An approximation of the signals to be separated, for example for each of two hearing devices, is thereby possible.

The invention relates to a cooperation type frequency spectrum sensing method in a cognitive network. The cooperation type frequency spectrum sensing method in the cognitive network comprises a training stage, a sensing stage and a frequency spectrum sharing stage, wherein the training stage comprise the steps that a user is authorized to switch between an active state and an idle state according to a prescribed mode, secondary users carry out frequency spectrum frequency spectrum sensing through energy detection, local sensing data are sent to a control center by the secondary users, and the control center solves the optimum weight vector needed by data fusion in cooperation type frequency spectrum sensing; the sensing stage comprises the steps that the user is authorized to act freely, energy detection is carried out on a frequency spectrum by the secondary users, detection data are then sent to the control center, and the control center judges the acting condition of the currently authorized user according to an existing weight matrix and a threshold; the frequency spectrum sharing stage comprises the steps that when the control center judges that the authorized user is in an idle state during the time slot, the transmission time on the channel distributed to each secondary user is determined by the control center according to the distribution made by the secondary users to sensing. The cooperation type frequency spectrum sensing method in the cognitive network has the advantages that feasibility and robustness of the system are improved, and good sensing performance is achieved.

The invention relates to a spectrum sensing method. In this method, the spectrum sensing problem is modeled as a signal classification problem. After data processing and feature extraction, the support vector machine is used as a classifier to realize spectrum sensing. The steps are as follows: firstly, collect signals in the presence and absence of primary user signals respectively; secondly, extract features and mark labels; thirdly, optimize parameters and use training data for learning to obtain the optimal classification hyperplane; Fourth, extract the characteristics of the signal to be tested, and use the obtained classification hyperplane for discrimination to achieve spectrum sensing capabilities. For the convenience of description, the ratio of the maximum and minimum eigenvalues ​​of the signal covariance matrix is ​​selected as the classification feature. In specific applications, other features, such as signal energy, signal spectrum, and cyclic spectrum, can also be selected as classification features. The invention not only solves the problem that the decision threshold is difficult to set in the common spectrum sensing method, but also has superior sensing performance.

The invention relates to a TSTKS algorithm based rapid detection method for abnormal discharge of an exhaust gas pollutant. The method comprises the following steps that the type of exhaust gas whichneeds monitoring is selected according to the atmosphere discharge standard; monitoring data of the waste gas pollutant which needs monitoring is obtained, and a data receiving buffer area is established; and an intermediate search branch is introduced to a binary search tree via a TSTKS algorithm to establish a ternary tree search strategy based on discharge abnormity characteristic of the exhaust gas pollutant, and discharge abnormity of the exhaust gas pollutant is rapidly detected by ternary tree search and measurement. Thus, discharge abnormity of the exhaust gas pollutant can be detectedrapidly and efficiently, and the detection accuracy is ensured.

The invention discloses an automobile assistance driving system based on ultrasonic detection, which relates to the technical field of automobile assistance driving. The system includes an ultrasonicacquisition module, a parameter acquisition module, and an MCU control module. The ultrasonic acquisition module perceives road surface and surrounding environment thereof by utilizing an ultrasonic coding modulation method, and sends perception data to the MCU control module; the parameter acquisition module is used for acquiring current driving speed and a motor current of an automobile, and sending obtained vehicle speed data and current data to the MCU control module; and the MCU control module determines a shape and orientation and relative distance between an obstacle and an automobile body based on the received perception data and the vehicle speed data, and analyzes whether a driver has a corresponding processing operation according to the current data, if not, the MCU control module turns on an assisted driving work mode and automatically assists in driving the automobile. The road surface and the surrounding environment thereof are perceived by the ultrasonic acquisition module, so that the reliability of the system, and the stability and reliability of assisted driving are improved, and a perception effect is good.

The invention provides a lead-free pacemaker and a lead-free pacemaker system. The lead-free pacemaker and the lead-free pacemaker system have the advantages that a shell of a pacemaker body of the lead-free pacemaker is designed to be of a bent pipe structure, accordingly, the lead-free pacemaker can be implanted in locations with narrow spaces in a bent manner and can effectively cling to myocardial tissues or vascular wall tissues which are of curved surface structures, good pace-making or perception effects can be realized, the patient application ranges can be expanded to a great extent,and large quantities of patients can be benefited.