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1. 发明授权

US08699790B2 Method for pan-sharpening panchromatic and multispectral images using wavelet dictionaries 有权
标题翻译：使用小波字典泛化全色和多光谱图像的方法
公开(公告)号：US08699790B2
公开(公告)日：2014-04-15
申请号：US13478510
申请日：2012-05-23
申请人： Dehong Liu , Petros T. Boufounos
发明人： Dehong Liu , Petros T. Boufounos
IPC分类号： G06K9/00
CPC分类号： G06K9/6219 , G06T5/003 , G06T5/50 , G06T2207/10036 , G06T2207/10041
摘要： A method Pan-sharpens a single panchromatic (Pan) image and a single multispectral (MS) image. A wavelet transform is applied to the Pan image and the MS image to obtain a wavelet transformed Pan image and a wavelet transformed MS image. Features, in the form of vectors, are extracted from the wavelet transformed Pan image and the wavelet transformed MS image. The features are separated into features without missing values and features with missing values. A dictionary is learned from features without missing values and used to predict the values for the features with the missing values. After the predicting, the features of the low frequency wavelet coefficients and the high frequency coefficients to form a fused wavelet coefficient map, and an inverse wavelet transform is applied to the fused wavelet coefficient map to obtain a fused MS image.
摘要翻译：一种方法Pan-sharpens单个全色（Pan）图像和单个多光谱（MS）图像。将小波变换应用于平移图像和MS图像，以获得小波变换的Pan图像和小波变换的MS图像。从小波变换的Pan图像和小波变换的MS图像中提取以向量的形式的特征。功能分为特征，而不缺少值和缺失值的特征。从没有缺失值的特征中学习字典，并用于预测具有缺失值的要素的值。在预测之后，将低频小波系数和高频系数的特征形成融合小波系数图，并将小波变换应用于融合小波系数图，以获得融合的MS图像。

2. 发明授权

US08456345B2 Method and apparatus for signal reconstruction from saturated measurements 有权
标题翻译：饱和测量信号重构方法和装置
公开(公告)号：US08456345B2
公开(公告)日：2013-06-04
申请号：US13033212
申请日：2011-02-23
申请人： Richard G. Baraniuk , Jason N. Laska , Petros T. Boufounos , Mark A. Davenport
发明人： Richard G. Baraniuk , Jason N. Laska , Petros T. Boufounos , Mark A. Davenport
IPC分类号： H03M1/12
CPC分类号： H03M1/661 , H03M7/30
摘要： A method for recovering a signal by measuring the signal to produce a plurality of compressive sensing measurements, discarding saturated measurements from the plurality of compressive sensing measurements and reconstructing the signal from remaining measurements from the plurality of compressive sensing measurements. Alternatively, a method for recovering a signal comprising the steps of measuring a signal to produce a plurality of compressive sensing measurements, identifying saturated measurements in the plurality of compressive sensing measurements and reconstructing the signal from the plurality of compressive sensing measurements, wherein the recovered signal is constrained such that magnitudes of values corresponding to the identified saturated measurements are greater than a predetermined value.
摘要翻译：一种通过测量信号以产生多个压缩感测测量来消除信号的方法，从多个压缩感测测量中舍弃饱和测量值，并从多个压缩感测测量中的剩余测量重构信号。或者，一种用于恢复信号的方法，包括以下步骤：测量信号以产生多个压缩感测测量，识别所述多个压缩感测测量中的饱和测量值，以及从所述多个压缩感测测量值重建所述信号，其中所述恢复信号被约束，使得对应于所识别的饱和测量的值的大小大于预定值。

3. 发明授权

US08204718B2 Method for reconstructing sparse streaming signals using greedy search 有权
标题翻译：使用贪心搜索重建稀疏流信号的方法
公开(公告)号：US08204718B2
公开(公告)日：2012-06-19
申请号：US12648423
申请日：2009-12-29
申请人： Petros T. Boufounos , Muhammad S. Asif
发明人： Petros T. Boufounos , Muhammad S. Asif
IPC分类号： H03F1/26
CPC分类号： H03M7/30 , H03M7/3062 , H04N19/132 , H04N19/18 , H04N19/182 , H04N19/192
摘要： A method reconstructs a streaming signal xn from streaming measurements by maintaining a working set of measurements, a working snapshot of the measurement system, an internal working signal estimate, and an external working signal estimate. Using a current working set of measurements, the internal working signal estimates, the working snapshot of the measurement system, and a model of a signal sparsity are refined. The external working signal estimate is refreshed. A subset of coefficients of the external working signal estimate is committed to an output. A next streaming measurement and a corresponding next measurement vector are received. The working set of measurements, the working snapshot of the measurement system, and the internal working signal estimate are updated to incorporate the next measurement and the corresponding measurement vector. Then, an oldest measurement and a corresponding oldest measurement vector, and an effect of the committed subset of coefficients are removed.
摘要翻译：一种方法通过维持测量的工作集，测量系统的工作快照，内部工作信号估计和外部工作信号估计，从流测量重建流信号xn。使用当前的一组测量，内部工作信号估计，测量系统的工作快照和信号稀疏模型被改进。外部工作信号估计被刷新。外部工作信号估计的系数子集被提供给一个输出。接收下一个流测量和相应的下一个测量向量。测量的工作集，测量系统的工作快照和内部工作信号估计被更新以包含下一个测量和相应的测量向量。然后，去除最旧的测量和相应的最老的测量向量，以及系数的所确定的子集的影响。

4. 发明申请

US20120016921A1 Method and Apparatus for Compressive Domain Filtering and Interference Cancellation 有权
标题翻译：用于压缩域过滤和干扰消除的方法和装置
公开(公告)号：US20120016921A1
公开(公告)日：2012-01-19
申请号：US13257481
申请日：2010-03-19
申请人： Mark A Davenport , Petros T. Boufounos , Richard G. Baraniuk
发明人： Mark A Davenport , Petros T. Boufounos , Richard G. Baraniuk
IPC分类号： G06F17/10
CPC分类号： H03M7/30
摘要： A method for compressive domain filtering and interference cancelation processes compressive measurements to eliminate or attenuate interference while preserving the information or geometry of the set of possible signals of interest. A signal processing apparatus assumes that the interfering signal lives in or near a known subspace that is partially or substantially orthogonal to the signal of interest, and then projects the compressive measurements into an orthogonal subspace and thus eliminate or attenuate the interference. This apparatus yields a modified set of measurements that can provide a stable embedding of the set of signals of interest, in which case it is guaranteed that the processed measurements retain sufficient information to enable the direct recovery of this signal of interest, or alternatively to enable the use of efficient compressive-domain algorithms for further processing. The method and apparatus operate directly on the compressive measurements to remove or attenuate unwanted signal components.
摘要翻译：用于压缩域滤波和干扰消除的方法处理压缩测量以消除或衰减干扰，同时保留感兴趣的一组可能信号的信息或几何。信号处理装置假设干扰信号存在于与感兴趣的信号部分或基本上正交的已知子空间中或附近，然后将压缩测量投影到正交子空间中，从而消除或衰减干扰。该装置产生修改的测量集合，其可以提供感兴趣的信号组的稳定嵌入，在这种情况下，保证所处理的测量结果保持足够的信息以使得能够直接恢复该感兴趣的信号，或者可选地使能使用有效的压缩域算法进行进一步处理。该方法和装置直接在压缩测量上操作以去除或衰减不需要的信号分量。

5. 发明申请

US20110107164A1 Method for Reconstructing Sparse Signals from Sign Measurements Using Greedy Search 失效
标题翻译：使用贪婪搜索从符号测量重建稀疏信号的方法
公开(公告)号：US20110107164A1
公开(公告)日：2011-05-05
申请号：US12609421
申请日：2009-10-30
申请人： Petros T. Boufounos
发明人： Petros T. Boufounos
IPC分类号： G06F11/07
CPC分类号： H03M7/30
摘要： A signal x is reconstructed from sparse sign measurements y. Estimated measurements {tilde over (y)} are obtained from a previous estimate xl-1 and a measurement matrix Φ according to {tilde over (y)}l=Φ xl-1. A correction signal is applied to inconsistent measurements, so that consistent reconstruction can be performed.
摘要翻译：从稀疏符号测量y重建信号x。从先前的估计xl-1和根据{tilde over（y）} l =Φ×1-1的测量矩阵Φ获得估计的测量（对于（y））。校正信号被应用于不一致的测量，使得可以执行一致的重建。

6. 发明授权

US08891878B2 Method for representing images using quantized embeddings of scale-invariant image features 有权
标题翻译：使用尺度不变图像特征的量化嵌入来表示图像的方法
公开(公告)号：US08891878B2
公开(公告)日：2014-11-18
申请号：US13525222
申请日：2012-06-15
申请人： Shantanu Rane , Petros T Boufounos , Mu Li
发明人： Shantanu Rane , Petros T Boufounos , Mu Li
IPC分类号： G06K9/48 , G06K9/46
CPC分类号： G06K9/6239 , G06K9/4671
摘要： Scale-invariant features are extracted from an image. The features are projected to a lower dimensional random projection matrix by multiplying the features by a matrix of random entries. The matrix of random projections is quantized to produce a matrix of quantization indices, which form a query vector for searching a database of images to retrieve metadata related to the image.
摘要翻译：从图像中提取尺度不变特征。通过将特征乘以随机条目的矩阵，将特征投影到较低维度的随机投影矩阵。量化随机投影矩阵以产生量化索引矩阵，其形成用于搜索图像的数据库以检索与图像相关的元数据的查询向量。

7. 发明申请

US20130226509A1 Depth Sensing Using Active Coherent Signals 有权
标题翻译：使用主动相干信号的深度感测
公开(公告)号：US20130226509A1
公开(公告)日：2013-08-29
申请号：US13405504
申请日：2012-02-27
申请人： Petros T. Boufounos
发明人： Petros T. Boufounos
IPC分类号： G01C3/08 , G06F15/00
CPC分类号： G01S7/295 , G01C3/08 , G01S7/486 , G01S13/89 , G01S15/003 , G01S15/89 , G01S17/89
摘要： Reflectors in a scene are reconstructed using reflected signals. First, signals are transmitted to the scene, and the reflected signals are received by receivers are arranged in an array. The reflected signals are then processed to reconstruct the reflectors in the scene, wherein the processing enforces a model that a reflectivity of the scene in front and behind any reflector is equal to zero.
摘要翻译：使用反射信号重建场景中的反射器。首先，将信号发送到场景，并且由接收器接收的反射信号被排列成阵列。然后处理反射信号以重构场景中的反射器，其中处理实施模型，其中任何反射器前后的场景的反射率等于零。

8. 发明申请

US20110215856A1 Method And Apparatus For Automatic Gain Control for Nonzero Saturation Rates 有权
标题翻译：用于非零饱和率的自动增益控制的方法和装置
公开(公告)号：US20110215856A1
公开(公告)日：2011-09-08
申请号：US13033188
申请日：2011-02-23
申请人： Richard G. Baraniuk , Jason N. Laska , Petros T. Boufounos , Mark A. Davenport
发明人： Richard G. Baraniuk , Jason N. Laska , Petros T. Boufounos , Mark A. Davenport
IPC分类号： H03L5/00
CPC分类号： H03L5/00
摘要： A method for automatic gain control comprising the steps of measuring a signal using compressed sensing to produce a sequence of blocks of measurements, applying a gain to one of the blocks of measurements, adjusting the gain based upon a deviation of a saturation rate of the one of the blocks of measurements from a predetermined nonzero saturation rate and applying the adjusted gain to a second of the blocks of measurements. Alternatively, a method for automatic gain control comprising the steps of applying a gain to a signal, computing a saturation rate of the signal and adjusting the gain based upon a difference between the saturation rate of the signal and a predetermined nonzero saturation rate.
摘要翻译：一种用于自动增益控制的方法，包括以下步骤：使用压缩感测来测量信号，以产生一系列测量结果，将增益应用于测量块之一，根据一个饱和度的偏差来调整增益的来自预定非零饱和率的测量块，并将调整后的增益应用于第二测量块。或者，一种用于自动增益控制的方法，包括以下步骤：基于信号的饱和速率与预定的非零饱和率之间的差异，向信号施加增益，计算信号的饱和率和调整增益。

9. 发明申请

US20110101957A1 Method for Reconstructing Sparse Signals from Distorted Measurements 有权
标题翻译：从扭曲测量重建稀疏信号的方法
公开(公告)号：US20110101957A1
公开(公告)日：2011-05-05
申请号：US12609217
申请日：2009-10-30
申请人： Petros T. Boufounos
发明人： Petros T. Boufounos
IPC分类号： G01R23/16
CPC分类号： H03M7/3062 , G01R19/2506
摘要： A signal x is reconstructed by measuring the signal x as a vector y of measurements yi, wherein the measurements yi are distorted, and each measurement yi has an associated value. The measurements yi in the vector y are ordered according to the associated values, wherein each sorted measurement has an index corresponding to the ordering to form an ordered index sequence. Then, a reconstruction method is applied to the ordered index sequence to produce an estimate {circumflex over (X)} of the signal x.
摘要翻译：通过将信号x测量为测量yi的向量y来重建信号x，其中测量yi失真，并且每个测量yi具有相关联的值。矢量y中的测量值yi根据相关值排序，其中每个排序的测量具有与排序相对应的索引以形成有序索引序列。然后，将重建方法应用于有序索引序列以产生信号x的估计{（x）}。

10. 发明授权

US08837727B2 Method for privacy preserving hashing of signals with binary embeddings 有权
标题翻译：隐私保护用二进制嵌入信号散列的方法
公开(公告)号：US08837727B2
公开(公告)日：2014-09-16
申请号：US13291384
申请日：2011-11-08
申请人： Petros T. Boufounos , Shantanu Rane
发明人： Petros T. Boufounos , Shantanu Rane
IPC分类号： G06F21/00
CPC分类号： H04K1/00
摘要： A hash of signal is determining by dithering and scaling random projections of the signal. Then, the dithered and scaled random projections are quantized using a non-monotonic scalar quantizer to form the hash, and a privacy of the signal is preserved as long as parameters of the scaling, dithering and projections are only known by the determining and quantizing steps.
摘要翻译：信号的散列是通过抖动和缩放信号的随机投影来确定的。然后，使用非单调标量量化器量化抖动和缩放的随机投影以形成散列，并且只要通过确定和量化步骤才知道缩放，抖动和投影的参数，信号的隐私就被保留。

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