225 results about "Correlational analysis" patented technology

A data processing apparatus, a method and computer program product for comparing a first object associated with said data processing apparatus with a second object associated with a remote data processing apparatus, are provided. The data processing apparatus comprises an input device operable to accept a first and a second set of data associated with said first object. Said first set of data describes said first object, and said second set of data describes a third object. Additionally, the data processing apparatus includes a memory. Said memory is adapted to store said first and said second set of data. The data processing apparatus further comprises a receiver. Said receiver is adapted to obtain a first subset of a third and a fourth set of data, respectively, from said remote data processing apparatus. Said third and said fourth set of data is associated with said second object, and said third set of data describes said second object, and said fourth set of data describes a fourth object. It also includes a transmitter. Said transmitter is adapted to send a first subset of said first and said second set of data, respectively, to said remote data processing apparatus. Finally, the data processing apparatus comprises a processor. The processor is adapted to perform correlation analysis between said first subsets of said first and said fourth set of data, respectively, to obtain a first value of correlation between said first and said second object. The processor is further adapted to perform correlation analysis between said first subsets of said second and said third set of data, respectively, to obtain a second value of correlation between said first and said second object.

A steady-state visual evoked brain-computer interface method is based on the stimulation of two frequencies of left and right visual fields, and relates to a visual evoked presentation method of a visual brain-computer interface. The brain-computer interface method is characterized in that four different targets are combined through two blinking frequencies by utilizing a principle of the crossing of the left and the right visual fields; and a correlational analysis method is used to identify which target is watched by a user after brain electrical acquisition equipment records a multi-brain electrical signal in the visual brain area. The equipment and the method of the invention comprise a recording mode of the brain electrical signal, lead selection and signal preprocessing, and a feature extraction method. The visual target presentation method of the invention can be realized through a screen display of a common computer, and the size, the brightness and even the color of the target can be controlled easily. Compared with other steady-state visual evoked brain-computer interfaces, the presentation method can increase the number of the targets under a condition that the usable frequencies are limited, thereby improving the brain-computer interaction ability.

The invention provides a fault line selection method based on time domain waveform correlation analysis of a three-phase current breaking variable, and belongs to the technical field of electric system relay protection. The method includes the steps that as for a power distribution network with a feed-out line only provided with a three-phase current mutual inductor and not provided with a zero sequence current mutual inductor, when single-phase earth fault of the power distribution network occurs, a device is immediately started, and three-phase breaking currents of feeder lines on measurement positions are measured. A three-phase breaking current time domain waveform inside a time window 5 milliseconds after the fault occurs is extracted, correlation analysis of the three-phase breaking current time domain waveform is carried out to acquire an interphase correlation coefficient and a comprehensive correlation coefficient, the comprehensive correlation coefficient and the interphase correlation coefficient respectively serve as a line selection criterion characteristic quantity and a phase selection criterion characteristic quantity, and line selection and phase selection of the distribution network single-phase earth fault are achieved according to criterion principles. Theoretical analysis and a great quantity of emulation indicate that the fault line selection method is good in effect.

Provided is a method for detecting frame sync and frame structure in a satellite broadcasting system, which acquires an estimated value for detecting frame structure and frame sync and overcomes distortion of correlation analysis values by summing differential correlation values for SOF positions in consideration of the variable frame length, and selecting a maximum value in a channel environment with low signal-to-noise ratio and high frequency error. SOF is a sync word indicating the start point of a frame. The method includes the steps of: acquiring SOF differential correlation value sequences; acquiring sums (di,t) of the correlation values normalized for SOF positions based on the number of symbols per frame by using the above-generated SOF differential correlation value sequences; and selecting a maximum value (dz,x) among the sums of correlation values, detecting z as a frame sync position, and detecting x as a frame structure index.

The invention relates to a human body object monitoring method for remote locations. In the method, a physical sensor is combined with image processing; a video collection device starts only when the physical sensor detects an invasive object; a human body object is further determined by utilizing a human body object verification method based on a video image; video collection, transmission and storage devices are closed if no human body object exists; a video monitoring system starts working if a human body object exists, and meanwhile continues detecting human body objects; the video monitoring system is closed if neither the physical sensor nor video image processing discovers an effective human body object. In the method, only the physical sensor with small power consumption works uninterruptedly, thereby effectively reducing system energy consumption; meanwhile the double test of the physical sensor and the video image processing enhances human body detection performances, reduces redundant data, and effectively increases other correlation analysis processing efficiency of a monitored video.

The invention discloses a heavy metal content support vector machine regression method combining bands and ratio combinations of indoor and outdoor spectrums. The method comprises the following steps:S1, collecting a soil sample and measuring a soil spectrum; S2, constructing a spectrum conversion model by using a KS-DS algorithm; S3, carrying out spectrum pretreatment and correlation analysis; and S4, constructing a support vector machine heavy metal content inversion model fusing indoor and outdoor spectrums, and carrying out detection. The method has the advantages of simple principle, high inversion precision, good detection effect and the like.