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通讯编程文档  introduce a famous inequality in statistical signal processing. This inequality can be used widely i

introduce a famous inequality in statistical signal processing. This inequality can be used widely in equalization and communication signal processing

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微处理器开发  3D Statistical shape analysis by SHPARM method: code and paper. From the top group at UNC.

3D Statistical shape analysis by SHPARM method: code and paper. From the top group at UNC.

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电子书籍  SPSS 的全称是：Statistical Program for Social Sciences

SPSS 的全称是：Statistical Program for Social Sciences，即社会科学统计程序。该软件是公认的最优秀的统计分析软件包之一。SPSS 原是为大型计算机开发的，其版本为SPSSx，80 年代初，微机开始普及以后，它率先推出了微机版本（版本为SPSS/PC+ x.x），占领了微机市场，大大地扩大了自己的用户量，我国目前正在使用的用 ...

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软件设计/软件工程  Many problems in statistical pattern recognition begin with the preprocessing of multidimensional si

Many problems in statistical pattern recognition begin with the preprocessing of multidimensional signals, such as images of faces or spectrograms of speech.

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其他书籍  "Foundations of Statistical Natural Language Processing", wrote by Christopher D. Manning & Hinrich

"Foundations of Statistical Natural Language Processing", wrote by Christopher D. Manning & Hinrich Schütze.一本极为经典的国外教材。

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书籍源码  常用ROBUST STATISTICAL

常用ROBUST STATISTICAL

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其他书籍  A Handbook of Statistical Analyses using R

A Handbook of Statistical Analyses using R

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其他书籍  that is a very useful book which explain some basic rules in statistical mechanics.

that is a very useful book which explain some basic rules in statistical mechanics.

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matlab例程  Introduction to Statistical and Adaptive Signal Processing – Random Signals – Spectral Estimation

Introduction to Statistical and Adaptive Signal Processing – Random Signals – Spectral Estimation – Signal Modeling – Adaptive Filtering &#8226 Course Overview – Course Outline – Textbook – References

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matlab例程  统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1

统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines

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