Abstract: An automated system and method for retaining images in a smart phone are disclosed. The system may then determine a no-reference quality score of the image using a PIQUE module. The PIQUE module utilizes block level features of the image to determine the no-reference quality score. The system may present the image and the no-reference quality score to the user and accept a feedback towards quality of the image. The system may utilize a supervised learning model for continually learning a user's perception of quality of the image, the no-reference quality score determined by the PIQUE module, and the user feedback. Based on the learning, the supervised learning model may adapt the no-reference quality score and successively the image may either be retained or isolated for deletion, based on the adapted quality score and a predefined threshold range.

Abstract: A system and method for detecting Spatially Multiplexed (SM), Space Time Block Coded (STBC), or Hybrid Space Time Block Coded-Spatially Multiplexed (STBC-SM) Multiple-Input Multiple-Output (MIMO) signals is disclosed. QR decomposition of the MIMO signal is performed. A constellation of symbols present in the MIMO signals is partitioned into subsets of symbols, using a set partitioning technique. A-posteriori probability (APP) of each branch is determined. Log Likelihood Ratios (LLRs) corresponding to the transmitted bits are determined using the a-posteriori probabilities. Successively, transmitted bits are determined by providing the LLRs corresponding to the transmitted bits, to a Viterbi decoder.

Abstract: Method and system for tracking moving objects in a video with non-stationary background is provided. The method comprises estimation of non-stationary background and determining an approximate foreground for each image that learns the background model over time by incorporating various constraints on image pixels. Then, weights based upon spatio-temporal statistical properties of the extracted foreground blobs and blob edge overlap are used to identify and track with bounding boxes displayed for one or more true objects.

Abstract: An automated system and method for retaining images in a smart phone are disclosed. The system may then determine a no-reference quality score of the image using a PIQUE module. The PIQUE module utilizes block level features of the image to determine the no-reference quality score. The system may present the image and the no-reference quality score to the user and accept a feedback towards quality of the image. The system may utilize a supervised learning model for continually learning a user's perception of quality of the image, the no-reference quality score determined by the PIQUE module, and the user feedback. Based on the learning, the supervised learning model may adapt the no-reference quality score and successively the image may either be retained or isolated for deletion, based on the adapted quality score and a predefined threshold range.

Abstract: A system and method for power saving in power saving stations connected to a Very High Throughput (VHT) access point is disclosed. The access point receives triggers from power saving stations. The power saving stations are one of VHT Transmission Opportunity (TXOP) power saving stations and non-VHT TXOP power saving stations. Successively, Quality of service (QoS) requirements of buffered data for the power saving stations connected to the VHT access point is determined. In a first case, the QoS requirements of buffered data corresponding to the non-VHT TXOP power saving stations exceed the QoS requirements of the VHT TXOP power saving stations. During the first case, the VHT TXOP power saving stations are sent into a sleep state and buffered data corresponding to the non-VHT TXOP power saving stations is transmitted.

Abstract: A system and method for power saving in power saving stations connected to a Very High Throughput (VHT) access point is disclosed. The access point receives triggers from power saving stations. The power saving stations are one of VHT Transmission Opportunity (TXOP) power saving stations and non-VHT TXOP power saving stations. Successively, Quality of service (QoS) requirements of buffered data for the power saving stations connected to the VHT access point is determined. In a first case, the QoS requirements of buffered data corresponding to the non-VHT TXOP power saving stations exceed the QoS requirements of the VHT TXOP power saving stations. During the first case, the VHT TXOP power saving stations are sent into a sleep state and buffered data corresponding to the non-VHT TXOP power saving stations is transmitted.

Abstract: A method and system for detection of contaminants present on a lens of an imaging device is disclosed. An input image received from an imaging device is split into a plurality of patches of predefined size and a kurtosis value calculated for each and compared with a median kurtosis value. Patches having kurtosis value less than the median kurtosis value are selected. Based on comparison of a first maximum likelihood of the selected patches with a predefined threshold, one or more selected patches are stored. Such patches are split into a top and a bottom portion for processing based on discrete wavelet transform and singular value decomposition, respectively. The top and the bottom portion are merged patches for which a second maximum likelihood is greater than a second predefined threshold, are stored. Further, contaminants in the image are classified into predefined categories based on one or more image features.

Abstract: A system and method for detecting Spatially Multiplexed (SM), Space Time Block Coded (STBC), or Hybrid Space Time Block Coded-Spatially Multiplexed (STBC-SM) Multiple-Input Multiple-Output (MIMO) signals is disclosed. QR decomposition of the MIMO signal is performed. A constellation of symbols present in the MIMO signals is partitioned into subsets of symbols, using a set partitioning technique. A-posteriori probability (APP) of each branch is determined. Log Likelihood Ratios (LLRs) corresponding to the transmitted bits are determined using the a-posteriori probabilities. Successively, transmitted bits are determined by providing the LLRs corresponding to the transmitted bits, to a Viterbi decoder.

Abstract: Method and system for tracking moving objects in a video with non-stationary background is provided. The method comprises estimation of non-stationary background and determining an approximate foreground for each image that learns the background model over time by incorporating various constraints on image pixels. Then, weights based upon spatio-temporal statistical properties of the extracted foreground blobs and blob edge overlap are used to identify and track with bounding boxes displayed for one or more true objects.

Abstract: Systems and methods for motion estimation for video encoding are described. The method observes the motion from the previous frames of the video uses the same for predicting search pattern and classifying the motion for the current frame. The motion in the video is predicted by calculating the Temporal Redundancy Achieved for previous frames and the Block Movement Factor in the previous frame. The method also considers the available bandwidth for choosing the search pattern especially, in the case of video streaming in wireless mobile ad hoc networks.

Abstract: A method and a communication receiver have been described for calculating log-likelihood ratios in a communication receiver. The log-likelihood ratio is calculated for each bit of one or more subsymbols of each of the one or more spatial streams by computing effective noise on one or more spatial streams after considering noise terms resulting from MIMO detection estimates of the subsymbols on each spatial stream. Finally, signal to noise ratio is determined for one or more spatial streams from the effective noise and scaling bit log-likelihood ratios with the signal to noise ratio.

Abstract: A method and a communication receiver have been described for calculating log-likelihood ratios in a communication receiver. The log-likelihood ratio is calculated for each bit of one or more subsymbols of each of the one or more spatial streams by computing effective noise on one or more spatial streams after considering noise terms resulting from MIMO detection estimates of the subsymbols on each spatial stream. Finally, signal to noise ratio is determined for one or more spatial streams from the effective noise and scaling bit log-likelihood ratios with the signal to noise ratio.

Abstract: Systems and methods for Dynamic Wideband Channel Selection with which a wireless Access Point gets the ability to dynamically decide and switch to better available channels with wider bandwidths for higher efficiency and throughput taking care of the restrictions applied by the regulatory domains in the widespread spectrum.

Abstract: A method for detecting a format of a frame in a communication system is presented. An embodiment of the method includes receiving the frame comprising a plurality of orthogonal frequency division multiplexing (OFDM) symbols. The plurality of OFDM symbols may include at least one signal field symbol. The method further includes determining a modulation associated with the at least one signal field symbol. The modulation may be a first modulation or a second modulation. Also, the method includes estimating a position of the at least one signal field symbol among the plurality of symbols, and extracting a coding rate of the received frame. The method then includes detecting the format of the received frame based on the determined modulation and the estimated position of the at least one signal field symbol, and the extracted coding rate of the received frame.

Abstract: A method of estimating a symbol boundary for adaptive time synchronization in a communication system is presented. An embodiment of the method includes receiving a signal comprising a plurality of OFDM symbols from receiver chains. The OFDM symbols include at least a long training field (LTF) symbol. The method further includes determining a normalized correlation signal based on correlation between the received LTF symbol and a reference symbol for each of the receiver chains for different lags. Also, the method includes estimating an energy window length for the normalized correlation signal. The energy window length includes at least one of channel delay spread and a maximum cyclic shift applied to the signal. The method then includes estimating the symbol boundary associated with the received LTF symbol based on a position of peak energy of the normalized correlation signal using the estimated energy window length.

Abstract: A method of estimating a symbol boundary for adaptive time synchronization in a communication system is presented. An embodiment of the method includes receiving a signal comprising a plurality of OFDM symbols from receiver chains. The OFDM symbols include at least a long training field (LTF) symbol. The method further includes determining a normalized correlation signal based on correlation between the received LTF symbol and a reference symbol for each of the receiver chains for different lags. Also, the method includes estimating an energy window length for the normalized correlation signal. The energy window length includes at least one of channel delay spread and a maximum cyclic shift applied to the signal. The method then includes estimating the symbol boundary associated with the received LTF symbol based on a position of peak energy of the normalized correlation signal using the estimated energy window length.

Abstract: A method for detecting a format of a frame in a communication system is presented. An embodiment of the method includes receiving the frame comprising a plurality of orthogonal frequency division multiplexing (OFDM) symbols. The plurality of OFDM symbols may include at least one signal field symbol. The method further includes determining a modulation associated with the at least one signal field symbol. The modulation may be a first modulation or a second modulation. Also, the method includes estimating a position of the at least one signal field symbol among the plurality of symbols, and extracting a coding rate of the received frame. The method then includes detecting the format of the received frame based on the determined modulation and the estimated position of the at least one signal field symbol, and the extracted coding rate of the received frame.