Method for high-resolution spectral analysis in multi channel
observations using a singular valve decomposition (SVD) matrix technique
    1.
    发明授权
    Method for high-resolution spectral analysis in multi channel observations using a singular valve decomposition (SVD) matrix technique 失效
    使用奇异瓣膜分解(SVD)矩阵技术的多通道观察中的高分辨率光谱分析方法

    公开(公告)号:US5560367A

    公开(公告)日:1996-10-01

    申请号:US290588

    申请日:1994-08-15

    CPC classification number: A61B5/0452 A61B5/04007 A61B5/7253

    Abstract: A method for high-resolution spectral analysis in multi-channel observations is disclosed with which it is possible to detect ventricular late potentials in individual heartbeats. The method also offers the basis for the spatial localization of pathological tissue modification that has a cause-and-effect relationship to the creation of these late potentials. The applicability of the method of the invention can be similarly applied to problems in radar or sonar technology, astronomy, measuring mobile radio telephone channels or to other problems of seismic or medical signal processing.

    Abstract translation: 公开了一种用于多通道观察中的高分辨率光谱分析的方法,可以检测单个心跳中的心室后期电位。 该方法还为病理组织修复的空间定位提供了依据,这些修复与这些后期电位的产生具有因果关系。 本发明方法的适用性可以类似地应用于雷达或声纳技术,天文学,测量移动无线电话信道或地震或医疗信号处理的其他问题中的问题。

    Process for compensating for quasi-periodic disturbances of measurement
signals
    2.
    发明授权
    Process for compensating for quasi-periodic disturbances of measurement signals 失效
    用于补偿测量信号的准周期性干扰的过程

    公开(公告)号:US5546332A

    公开(公告)日:1996-08-13

    申请号:US190160

    申请日:1994-02-07

    Applicant: Peter Strobach

    Inventor: Peter Strobach

    CPC classification number: G01R19/00 H03H21/0012

    Abstract: To compensate for quasi-periodic disturbances in measurement signals, the wanted signal is separated from the disturbing signal by determining from an auxiliary signal a series of trigger instants, and estimating from this measurement signal a disturbing signal template, by furthermore generating from this disturbing signal template a trigger-synchronous reference signal, and by using this trigger-synchronous reference signal for filtering the measurement signal. The process can be carried out both after the recording of a complete measurement data set and at the same time as the recording of such a measurement data set. The process is suitable in particular for compensating for cardio-interference during magneto-encephalography.

    Abstract translation: PCT No.PCT / DE92 / 00539 Sec。 371日期1994年2月7日 102(e)日期1994年2月7日PCT提交1992年6月30日PCT公布。 出版物WO93 / 03544 日期1993年2月18日为了补偿测量信号中的准周期性干扰,有用信号通过从辅助信号确定一系列触发时刻与干扰信号分离,并从该测量信号估计干扰信号模板 从该干扰信号模板产生触发同步参考信号,并通过使用该触发同步参考信号对该测量信号进行滤波。 该过程可以在记录完整的测量数据集之后并且与记录这样的测量数据集的同时进行。 该过程特别适用于补偿脑磁图中的心脏干扰。

    Process and arrangement for the Boolean realization of adaline-type
neural networks
    4.
    发明授权
    Process and arrangement for the Boolean realization of adaline-type neural networks 失效
    阿拉丁型神经网络的布尔实现的过程和布置

    公开(公告)号:US5371413A

    公开(公告)日:1994-12-06

    申请号:US983531

    申请日:1993-03-04

    Applicant: Peter Strobach

    Inventor: Peter Strobach

    CPC classification number: G06N3/063

    Abstract: A process is stated with which ADALINE-type neural networks whose inputs are Boolean variables can be realized using Boolean functions. In addition, a purely digital circuit arrangement for realizing ADALINE-type neural networks is stated. The digital circuit arrangement can be constructed with the aid of a digital base circuit. The digital base circuit generates the set of Boolean functions which replaces a neuron for any value of its input weighting factors. A process for training the circuit arrangement is stated. It is thus possible to realize and to train ADALINE-type neural networks entirely with the aid of purely digital circuit arrangements.

    Abstract translation: PCT No.PCT / EP91 / 01641 Sec。 371日期:1993年3月4日 102(e)1993年3月4日PCT PCT 1991年8月29日PCT公布。 出版物WO92 / 04687 日期为199年3月19日。一个过程表明其输入为布尔变量的ADALINE型神经网络可以使用布尔函数来实现。 此外,还提出了一种用于实现ADALINE型神经网络的纯数字电路装置。 数字电路装置可以借助于数字基极电路构成。 数字基本电路生成一组布尔函数,用于替代其输入加权因子的任何值的神经元。 说明了一种用于训练电路装置的过程。 因此,可以借助于纯粹的数字电路布置来实现和训练ADALINE型神经网络。

    Method for scene-model-assisted reduction of image data for digital
television signals
    5.
    发明授权
    Method for scene-model-assisted reduction of image data for digital television signals 失效
    场景模型辅助减少数字电视信号图像数据的方法

    公开(公告)号:US4922341A

    公开(公告)日:1990-05-01

    申请号:US249371

    申请日:1988-09-26

    Applicant: Peter Strobach

    Inventor: Peter Strobach

    Abstract: A method for scene-model-assisted reduction of image data for digital television signals, whereby a picture signal supplied at time t is to be coded, whereby a predecessor frame from a scene already coded at time t-1 is present in an image store as a reference, and whereby the frame-to-frame information are composed of an amplification factor, of a shift factor and of an adaptatively acquired quad-tree division structure, and it is provided that, upon initialization of the system, a uniform, prescribed gray scale value or picture half-tone expressed as a defined luminance value is written into the image store of a coder at the transmitter and in the image store of a decoder at the receiver store, and are in the same way for all picture elements (pixels), and both the image store in the coder as well as the image store in the decoder are each operated with feed back to themselves in a manner such that the content of the image store in the coder and decoder can be read out in blocks of variable size, and can be amplified with a factor greater than or less than 1 of the luminance and can be written back into the image store with shifted addresses, whereby the blocks of variable size are organized according to a known quad-tree data structure.

    Abstract translation: 一种用于数字电视信号的场景模型辅助减少图像数据的方法,由此在时间t提供的图像信号被编码,从而在时间t-1已经编码的场景的前导帧存在于图像存储器中 作为参考,由此帧到帧信息由移位因子和适应性获取的四叉树分割结构的放大因子组成,并且在系统初始化时, 以规定的亮度值表示的规定的灰度值或图像半色调被写入在发送器处的编码器的图像存储器中以及在接收器存储器处的解码器的图像存储器中,并且对于所有图像元素都是相同的方式 (像素),并且编码器中的图像存储以及解码器中的图像存储都以使得可以在编码器和解码器中存储的图像的内容可以被读出的方式以对其自身进行反馈的方式进行操作 v 并且可以以大于或小于亮度的1的因子进行放大,并且可以用移位的地址将其写回到图像存储器中,由此根据已知的四叉树数据结构来组织可变大小的块。

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