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找到约 110 项符合 maximum-likelyhood 的查询结果

其他行业 * acousticfeatures.m: Matlab script to generate training and testing files from event timeseries. *

* acousticfeatures.m: Matlab script to generate training and testing files from event timeseries. * afm_mlpatterngen.m: Matlab script to extract feature information from acoustic event timeseries. * extractevents.m: Matlab script to extract event timeseries using the complete run timeseries and the ...
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单片机开发 实现8比特字节的RS纠错编码

实现8比特字节的RS纠错编码,可以指定极性校验字节数目,能产生的最大校验序列长度为255字节(含极性校验字节).This is an implementation of a Reed-Solomon code with 8 bit bytes, and a configurable number of parity bytes. The maximum sequence length (codeword) that can be generated is 255 bytes, including ...
https://www.eeworm.com/dl/648/337174.html
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其他 包括使用修正Gram-Schmit算法实现QR分解

包括使用修正Gram-Schmit算法实现QR分解,自编LU分解、利用幂法和反幂法计算矩阵最大和最小特征值的程序。例外附有使用这些算法的例子供参考。 QR decomposition algorithm based on modified Gram-Schmit LU decomposition algorithm algorithm used to find maximum and minimum eigenvalue based on power and inverse p ...
https://www.eeworm.com/dl/534/342748.html
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人工智能/神经网络 ClustanGraphics聚类分析工具。提供了11种聚类算法。 Single Linkage (or Minimum Method, Nearest Neighbor) Complete Li

ClustanGraphics聚类分析工具。提供了11种聚类算法。 Single Linkage (or Minimum Method, Nearest Neighbor) Complete Linkage (or Maximum Method, Furthest Neighbor) Average Linkage (UPGMA) Weighted Average Linkage (WPGMA) Mean Proximity Centroid (UPGMC) Median (WPGMC) Increase in Sum of Squares (Ward s Me ...
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matlab例程 实现PET/SPECT 幻影图像regression的matlab源代码 algorithms for Poisson emission tomography PET/SPECT/ Poisson

实现PET/SPECT 幻影图像regression的matlab源代码 algorithms for Poisson emission tomography PET/SPECT/ Poisson regression eml_ emission maximum likelihood eql_ emission quadratically penalized likelihood epl_ emission penalized likelihood
https://www.eeworm.com/dl/665/387560.html
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书籍源码 A novel met hod t o p artially compensate sigma2delta shap ed noise is p rop osed. By injecting t he

A novel met hod t o p artially compensate sigma2delta shap ed noise is p rop osed. By injecting t he comp en2 sation cur rent int o t he p assive loop f ilte r during t he delay time of t he p hase f requency detect or ( PFD) , a maximum reduction of t he p hase noise by about 16dB can be achieved. ...
https://www.eeworm.com/dl/532/387645.html
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通讯/手机编程 WSNs being energy constrained systems, one major problem is to employ the sensor nodes in such a man

WSNs being energy constrained systems, one major problem is to employ the sensor nodes in such a manner so as to ensure maximum coverage and connectivity with minimal or optimal number of nodes and furthermore elongate network lifetime with maximum energy utilization. The problem addressed has b ...
https://www.eeworm.com/dl/527/433280.html
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Internet/网络编程 使用INTEL矢量统计类库的程序,包括以下功能: &#61623 Raw and central moments up to 4th order &#61623 Kurtosis and

使用INTEL矢量统计类库的程序,包括以下功能: &#61623 Raw and central moments up to 4th order &#61623 Kurtosis and Skewness &#61623 Variation Coefficient &#61623 Quantiles and Order Statistics &#61623 Minimum and Maximum &#61623 Variance-Covariance/Correlation matrix &#61623 Pooled/Group Varianc ...
https://www.eeworm.com/dl/620/440156.html
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matlab例程 This code proposes genetic algorithm (GA) to optimize the point-to-point trajectory planning for a 3

This code proposes genetic algorithm (GA) to optimize the point-to-point trajectory planning for a 3-link robot arm. The objective function for the proposed GA is to minimizing traveling time and space, while not exceeding a maximum pre-defined torque, without collision with any obstacle in the r ...
https://www.eeworm.com/dl/665/450689.html
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VHDL/FPGA/Verilog The Hilbert Transform is an important component in communication systems, e.g. for single sideband m

The Hilbert Transform is an important component in communication systems, e.g. for single sideband modulation/demodulation, amplitude and phase detection, etc. It can be formulated as filtering operation which makes it possible to approximate the Hilbert Transform with a digital filter. Due to the n ...
https://www.eeworm.com/dl/663/457417.html
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