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1. 发明申请

US20120224611A1 METHOD AND APPARATUS FOR LOW COMPLEXITY COMPRESSION OF SIGNALS 有权
标题翻译：低信号复杂度压缩方法与装置
公开(公告)号：US20120224611A1
公开(公告)日：2012-09-06
申请号：US13221633
申请日：2011-08-30
申请人： Pawan Kumar Baheti , Harinath Garudadri , Yuejie Chi
发明人： Pawan Kumar Baheti , Harinath Garudadri , Yuejie Chi
IPC分类号： H04B1/38
CPC分类号： H04L1/0043 , H03M7/30 , H04L1/0052 , H04L1/22
摘要： Certain aspects of the present disclosure relate to techniques for low-complexity encoding (compression) of broad class of signals, which are typically not well modeled as sparse signals in either time-domain or frequency-domain. First, the signal can be split in time-segments that may be either sparse in time domain or sparse in frequency domain, for example by using absolute second order differential operator on the input signal. Next, different encoding strategies can be applied for each of these time-segments depending in which domain the sparsity is present.
摘要翻译：本公开的某些方面涉及广泛类别的信号的低复杂度编码（压缩）的技术，其通常不能被良好地建模为时域或频域中的稀疏信号。首先，信号可以在时域中被分割，时间段可能在时域中稀疏或频域稀疏，例如通过在输入信号上使用绝对二阶微分算子。接下来，不同的编码策略可以应用于这些时间段中的每一个，这取决于稀疏在哪个域中。

2. 发明授权

US09136980B2 Method and apparatus for low complexity compression of signals 有权
标题翻译：信号低复杂度压缩的方法和装置
公开(公告)号：US09136980B2
公开(公告)日：2015-09-15
申请号：US13221633
申请日：2011-08-30
申请人： Pawan Kumar Baheti , Harinath Garudadri , Yuejie Chi
发明人： Pawan Kumar Baheti , Harinath Garudadri , Yuejie Chi
IPC分类号： G10L19/00 , G10L21/00 , H04L1/00 , H03M7/30 , H04L1/22
CPC分类号： H04L1/0043 , H03M7/30 , H04L1/0052 , H04L1/22
摘要： Certain aspects of the present disclosure relate to techniques for low-complexity encoding (compression) of broad class of signals, which are typically not well modeled as sparse signals in either time-domain or frequency-domain. First, the signal can be split in time-segments that may be either sparse in time domain or sparse in frequency domain, for example by using absolute second order differential operator on the input signal. Next, different encoding strategies can be applied for each of these time-segments depending in which domain the sparsity is present.
摘要翻译：本公开的某些方面涉及广泛类别的信号的低复杂度编码（压缩）的技术，其通常不能被良好地建模为时域或频域中的稀疏信号。首先，信号可以在时域中被分割，时间段可能在时域中稀疏或频域稀疏，例如通过在输入信号上使用绝对二阶微分算子。接下来，不同的编码策略可以应用于这些时间段中的每一个，这取决于稀疏在哪个域中。

3. 发明申请

US20130156300A1 Multi-Class Classification Method 审中-公开
标题翻译：多类分类方法
公开(公告)号：US20130156300A1
公开(公告)日：2013-06-20
申请号：US13330905
申请日：2011-12-20
申请人： Fatih Porikli , Yuejie Chi
发明人： Fatih Porikli , Yuejie Chi
IPC分类号： G06K9/62
CPC分类号： G06K9/6227 , G06K9/6249
摘要： A test sample is classified by determining a nearest subspace residual from subspaces learned from multiple different classes of training samples, and a collaborative residual from a collaborative representation of a dictionary constructed from all of the test samples. The residuals are used to determine a regularized residual. The subspaces, the dictionary and the regularized residual are inputted into a classifier, wherein the classifier includes a collaborative representation classifier and a nearest subspace classifier, and a label is assigned to the test sample using the classifier, and wherein the regularization parameter balances a trade-off between the collaborative representation classifier the nearest subspace classifier.
摘要翻译：通过确定从多个不同类别的训练样本中学习的子空间的最近子空间残差以及来自所有测试样本构造的字典的协作表示的协作残差来分类测试样本。残差用于确定正则化残差。将子空间，字典和正则化残差输入到分类器中，其中分类器包括协作表示分类器和最近的子空间分类器，并且使用分类器将标签分配给测试样本，并且其中正则化参数平衡交易在合作表示分类器之间的最近的子空间分类器。

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