183results about How to "Noise robust" patented technology

Method for analyzing ocular and/or head orientation characteristics of a subject. A detection and quantification of the position of a driver's head and/or eye movements are made relative to the environment. Tests of the data are made, and from the data, locations of experienced areas/objects-of-subject-interest are deduced. When a driver of a vehicle is the subject, these areas/objects-of-driver-interest may be inside or outside the vehicle, and may be constituted by (1) “things” such as audio controls, speedometers and other gauges, and (2) areas or positions such as “road ahead” and lane-change clearance space in adjacent lanes. In order to “standardize” the tracking data with respect to the vehicle of interest, the quantification of the position of the driver's head is normalized to the reference-base position thereby enabling deducement of location(s) where the driver has shown an interest based on sensed information regarding either, or both of (1) driver ocular orientation or (2) driver head orientation.

A digital broadcast transmitting/receiving system and a method for processing data are disclosed. The method for processing data may enhance the receiving performance of the receiving system by performing additional coding and multiplexing processes on the traffic information data and transmitting the processed data. Thus, robustness is provided to the traffic information data, thereby enabling the data to respond strongly against the channel environment which is always under constant and vast change.

A digital broadcast transmitting/receiving system and a method for processing data are disclosed. The method for processing data may enhance the receiving performance of the receiving system by performing additional coding and multiplexing processes on the traffic information data and transmitting the processed data. Thus, robustness is provided to the traffic information data, thereby enabling the data to respond strongly against the channel environment which is always under constant and vast change.

An apparatus and method for driving an electric device using speech recognition are disclosed. The method for driving an electric device using speech recognition includes switching an operation stop state to a pre-operation speech recognition standby mode if a first keyword is recognized at the operation stop state; starting basic operation of the device if a second keyword is recognized at the pre-operation speech recognition standby mode; and performing a corresponding command if at least one of a plurality of command languages that may be recognized by a user command is recognized within a predefined time during the basic operation, wherein the first keyword, the second keyword and the plurality of command languages are different from one another.

The present invention relates to packet construction of format for communications across multiple access networks such as wireless local area networks (WLAN). The present invention provides a device for use in a wireless network and comprising means for generating a packet comprising a first portion having a destination address and preferably a network duration identifier for a recipient device in the network, and a second portion; and means for transmitting the first portion at a predetermined coding and/or modulation rate, and means for transmitting the second portion at a higher coding and/or modulation rate.

A digital broadcast transmitting/receiving system and a method for processing data are disclosed. The method for processing data may enhance the receiving performance of the receiving system by performing additional coding and multiplexing processes on the traffic information data and transmitting the processed data. Thus, robustness is provided to the traffic information data, thereby enabling the data to respond strongly against the channel environment which is always under constant and vast change.

A digital broadcast transmitting/receiving system and a method for processing data are disclosed. The method for processing data may enhance the receiving performance of the receiving system by performing additional coding and multiplexing processes on the traffic information data and transmitting the processed data. Thus, robustness is provided to the traffic information data, thereby enabling the data to respond strongly against the channel environment which is always under constant and vast change.

Disclosed is a digital communication system. A transmission system includes an error correction encoder part carrying out an error correction encoding for additional data inputted through a first path, a multiplexer (MUX) part, a control part, a channel coding part carrying out an RS encoding and a TCM encoding, and a VSB transmission part modulating the channel-coded data by a VSB method and outputting the modulated data. A receiver system includes a tuner part receiving and tuning additional data and ATSC data transmitted through a same channel, a TCM decoder decoding and outputting the ATSC data and additional data, a deinterleaver deinterleaving data outputted from the TCM decoder, a demultiplexer demultiplexing along a first path (ATSC) or a second path (additional data) in accordance with a kind of output data of the deinterleaver, a limiter carrying out a hard decision on data outputted by the first path, an ATSC decoder part including a derandomizer, and an additional error correction decoder part decoding additional-error-encoded data on additional data outputted through the second path.

A VSB communication system comprises a VSB transmission system and a VSB reception system. The VSB transmission system multiplexes a coded MPEG data and a coded supplemental data having a null sequence inserted therein, with required multiplexing information included in a field synchronization signal or in a supplemental data according to a number of the supplemental data packets being transmitted. The VSB reception system detects the required multiplexing information from the field synchronization signal or the supplemental data and decodes the multiplexed data by using the null sequence and the detected multiplexing information, as well as demultiplexes the multiplexed data into the MPEG data and the supplemental data.

A transmitting system, a receiving system, and a method of processing broadcast signals are disclosed. The receiving system includes a tuner, a channel equalizer, a storage unit, an inner decoder, a deinterleaver, an outer decoder, and an interleaver. The tuner receives a broadcast signal including a data group. The channel equalizer channel-equalizes the broadcast signal. The storage unit stores mobile service data included in the channel-equalized broadcast signal, and repeatedly outputs the stored mobile service data for a predetermined number of turbo decoding iterations. The inner decoder matches the mobile service data being outputted from the storage unit with mobile service data being outer-decoded and fed-back and inner-decodes the matched mobile service data. The deinterleaver deinterleaves the inner-decoded mobile service data in block units. The outer decoder outer-decodes the deinterleaved mobile service data. The interleaver interleaves the outer-decoded mobile service data in block units and feeding-back the interleaved mobile service data to the inner decoder.

An interference suppression scheme is provided for a radio receiver. According to the provided interference suppression scheme, the bandwidth of a received pilot signal and a data signal is divided into a plurality of frequency sub-bands. The pilot signal and the data signal have been transmitted according to single carrier data transmission technology. Interference parameters are calculated for each frequency sub-band separately. Interference suppression may be carried out jointly or separately for each frequency sub-band. After the interference suppression, the frequency sub-bands are combined. A filter bank may be used for dividing the total frequency band into sub-bands.

A digital broadcast transmitting/receiving system and a method for processing data are disclosed. The method for processing data may enhance the receiving performance of the receiving system by performing additional coding and multiplexing processes on the traffic information data and transmitting the processed data. Thus, robustness is provided to the traffic information data, thereby enabling the data to respond strongly against the channel environment which is always under constant and vast change.

An image processing system detects a moving person or other object of interest. The system generates a thresholded difference image by processing a video signal or other type of image signal received from a camera. The difference image is then segmented into regions bounded by vertical lines passing through the image, and silhouette candidates are identified in one or more of the regions. Tensor voting is used to determine saliency values and corresponding tangents for each of the silhouette candidates, and the resulting values and tangents are used to detect the object of interest. In an embodiment in which the object of interest is a moving person, a neck position of the moving person may be detected by analyzing a sum of x-components of tangents along a corresponding silhouette. The detected neck position may then be utilized to determine a head position and a head size for the moving person.

As a document image on paper is usually black and white binary data, an embedding method for colored and multivalued data using a variation of light and dark could not be applied. When a document printed on paper was captured by a scanner or the like, it was difficult, since it had changed at a pixel level, to stably detect embedded additional watermarking information. A text area is detected from a document image, and the features of the detected text area are increased or decreased, or the detected text area is split into two or more subblocks, and the subblocks are divided into two or more groups, of which features are increased or decreased respectively so as to embed additional watermarking information. When detecting a watermark, additional watermarking information is detected by comparing the integrated values of the features acquired from the respective groups.

An analytic apparatus and method is provided for diagnosis, prognosis and biomarker discovery using transcriptome data such as mRNA expression levels from microarrays, proteomic data, and metabolomic data. The invention provides for model-based analysis, especially using kernel-based models, and more particularly similarity-based models. Model-derived residuals advantageously provide a unique new tool for insights into disease mechanisms. Localization of models provides for improved model efficacy. The invention is capable of extracting useful information heretofore unavailable by other methods, relating to dynamics in cellular gene regulation, regulatory networks, biological pathways and metabolism.

A receiving system and a method of processing broadcast signals in the receiving system are disclosed. The receiving system includes a tuner, a known sequence detector, a carrier recovery unit, and a channel equalizer. The tuner receives a broadcast signal including a data group. Herein, the data group comprises mobile service data, a plurality of known data sequences, and signaling data. One of the plurality of known data sequences comprises a first M symbol sequence and a second M symbol sequence each having a first data pattern. The known sequence detector estimates an initial frequency offset and detects position information of each known data sequence based on the known data sequence having the first data pattern. The carrier recovery unit acquires initial frequency synchronization and performs carrier recovery from the broadcast signal based on the initial frequency offset estimated by the known sequence detector. The channel equalizer performs channel equalization on the broadcast signal based upon the position information of each known data sequence.

A processing node in a temporal memory system includes a spatial pooler and a sequence processor. The spatial pooler generates a spatial pooler signal representing similarity between received spatial patterns in an input signal and stored co-occurrence patterns. The spatial pooler signal is represented by a combination of elements that are active or inactive. Each co-occurrence pattern is mapped to different subsets of elements of an input signal. The spatial pooler signal is fed to a sequence processor receiving and processed to learn, recognize and predict temporal sequences in the input signal. The sequence processor includes one or more columns, each column including one or more cells. A subset of columns may be selected by the spatial pooler signal, causing one or more cells in these columns to activate.

The invention discloses an automatic microblog text abstracting method based on unsupervised key binary word extraction. The automatic microblog text abstracting method comprises the steps of preprocessing a microblog; standardizing a binary word; extracting a key binary word based on a mixed TF-IDF (term frequency-inverse document frequency), TexRank and an LDA (local data area); sequencing sentences based on the intersection similarity and a mutual information strategy; extracting abstract sentences based on a similarity threshold value; generating abstract by reasonably combining the abstract sentences. According to the automatic microblog text abstracting method, the binary word is used as a minimum vocabulary unit, and the binary word has richer text information than words, so that the sentences based on the key binary word is higher in noise immunity and accuracy than the sentences based on key word extraction; meanwhile, when the abstract sentences are extracted, the similarity threshold value is introduced to control redundancy, so that the abstract is higher in recall rate. The abstract generated by the method is accurate, simple and comprehensive; the efficiency and the quality that a user acquires knowledge are obviously improved, and the time of the user is greatly saved.

Identification of objects in images. All images are scanned for key-points and a descriptor is computed for each region. A large number of descriptor examples are clustered into a Vocabulary of Visual Words. An inverted file structure is extended to support clustering of matches in the pose space. It has a hit list for every visual word, which stores all occurrences of the word in all reference images. Every hit stores an identifier of the reference image where the key-point was detected and its scale and orientation. Recognition starts by assigning key-points from the query image to the closest visual words. Then, every pairing of the key-point and one of the hits from the list casts a vote into a pose accumulator corresponding to the reference image where the hit was found. Every pair key-point/hit predicts specific orientation and scale of the model represented by the reference image.

A method for detecting fetal anatomic features in ultrasound images includes providing an ultrasound image of a fetus, specifying an anatomic feature to be detected in a region S determined by parameter vector θ, providing a sequence of probabilistic boosting tree classifiers, each with a pre-specified height and number of nodes. Each classifier computes a posterior probability P(y|S) where yε{−1,+1}, with P(y=+1|S) representing a probability that region S contains the feature, and P(y=−1|S) representing a probability that region S contains background information. The feature is detected by uniformly sampling a parameter space of parameter vector θ using a first classifier with a sampling interval vector used for training said first classifier, and having each subsequent classifier classify positive samples identified by a preceding classifier using a smaller sampling interval vector used for training said preceding classifier. Each classifier forms a union of its positive samples with those of the preceding classifier.

A method for identifying a set of key frames from a video sequence including a time sequence of video frames, comprising: extracting a feature vector for each video frame in a set of video frames selected from the video sequence; defining a set of basis functions that can be used to represent the extracted feature vectors, wherein each basis function is associated with a different video frame in the set of video frames; representing the feature vectors for each video frame in the set of video frames as a sparse combination of the basis functions associated with the other video frames; and analyzing the sparse combinations of the basis functions for the set of video frames to select the set of key frames.

A system and method for controlling an internal combustion engine determine a catalyst gain based on an exhaust gas sensor positioned upstream relative to a catalyst and at least one exhaust gas sensor positioned downstream relative to at least a portion of the catalyst and use the gain to determine the condition or performance of the catalyst. The gain may be determined by modeling the catalyst as an integrator with an unknown gain and estimating the gain using a polynomial approximation. The gain is compared to an expected value or threshold associated with current operating conditions, such as catalyst temperature and/or mass air flow.