公开(公告)号：US10241973B2

公开(公告)日：2019-03-26

申请号：US15061929

申请日：2016-03-04

Applicant: Tata Consultancy Services Limited

Inventor： Rahul Sinha ,  Balamuralidhar Purushothaman ,  Tapas Chakravarty

IPC: G06F17/30 ,  G06F17/18 ,  G06F17/14 ,  H03M7/30

Abstract: Disclosed is a method and system for reducing data size of raw data. The system may process the raw data for calculating Renyi entropies, Wigner Ville Distributions (WVD's), Wigner Ville Spectrum (WVS) and Renyi divergence. The system may identify a first set of windows followed by a second set of windows while processing the raw data. Further, the system may calculate Eigen values for a Time-Frequency matrix of WVS of the second set of windows. The system may filter the second set of windows based on the Eigen values for preparing a third set of windows. The system prepares clusters of the Eigen values. The system may compute centroids of the clusters of the Eigen values. The system classifies each window of the third set of windows into one of the clusters indicating a relevant category of event identified from the raw data.

公开(公告)号：US09846747B2

公开(公告)日：2017-12-19

申请号：US14561520

申请日：2014-12-05

Applicant: Tata Consultancy Services Limited

Inventor： Rahul Sinha ,  Balamuralidhar Purushothaman ,  Tapas Chakravarty ,  Arijit Chowdhury

IPC: G06F17/30 ,  H03M7/30

CPC classification number: G06F17/30867 ,  G05B2219/33249 ,  G06F17/30616 ,  H03M7/30 ,  H03M7/3059 ,  H03M7/3082

Abstract: This disclosure relates to systems and methods for adaptively compressing data based on compression parameters. In one embodiment, a method for compressing a dataset is disclosed, including filtering a dataset based on occurrence of an event, and determining a quality of information index indicating a measure of quality of the dataset based on a quality of information estimation function. The method may include comparing the quality of information index with a list of indices stored in a lookup table to identify a target quality of information index and corresponding compression parameters, wherein the target quality of information index is indicative of a reference measure of quality of the dataset applicable for deriving statistical inferences based on analysis of the dataset. Also, the method may include inputting the compression parameters in a compression algorithm for compressing the dataset to achieve the target quality of information index for the analysis.

公开(公告)号：US11443136B2

公开(公告)日：2022-09-13

申请号：US16824112

申请日：2020-03-19

Applicant: Tata Consultancy Services Limited

Inventor： Rahul Sinha ,  Mariswamy Girish Chandra

IPC: G06K9/62 ,  G06F17/16 ,  G06F17/10 ,  G06N5/02 ,  G06N5/04 ,  G06N20/00

Abstract: This disclosure relates generally to method for signal pre-processing based on a plurality of data driven models and a data dependent model transformation. The method includes (a) receiving, a raw signal as an input; (b) learning, a set of representational basis from the received raw signal, wherein the set of representational basis comprises a plurality of orthonormal vectors; (c) selecting, at least one orthonormal vector from the plurality of orthonormal vectors, (d) determining, a structure of the plurality of dictionary atoms, wherein structure of the plurality of dictionary atoms corresponds to a graph structure represented as a Laplacian matrix (L); (e) integrating, the graph structure as a structure of the set of representational basis to obtain a reconfigured data model; and (f) reconstructing, using the reconfigured data model to obtain a denoised signal, wherein at least one of constraints on a optimization problem corresponds to desired spectral and topological structure.