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matlab例程 Analytical constant-modulus algorithm, to separate linear combinations of CM sourcesThe algorithm i
Analytical constant-modulus algorithm, to separate linear combinations of CM sourcesThe algorithm
is robust in the presence of noise, and is tested on measured data,
collected from an experimental set-up.
其他 wo cao ni ma ,ni men ta ma de po wang zhan ,xia ge dong xi dou yao zheyang ,gun ni ma bi de
wo cao ni ma ,ni men ta ma de po wang zhan ,xia ge dong xi dou yao zheyang ,gun ni ma bi de
电子书籍 The problem of ¯ nding a linear discriminant function will be formulated as a problem of minimi
The problem of ¯ nding a linear discriminant function will be formulated as a problem
of minimizing a criterion function
matlab例程 ％ BackgroundRemoval=[true],false ％ Gain=[tsquare],linear ％ BandPass=[paul],fircls ％ CenterFrequen
％ BackgroundRemoval=[true],false
％ Gain=[tsquare],linear
％ BandPass=[paul],fircls
％ CenterFrequency, auto (determined using pburg)
％ BandWidth=auto (a fraction of the CenterFrequency default=0.25)
％ ContrastStretch=[true],false
％ HilbertAmplitude=[true],false
％ HorizontalStacking=1 (a number ...
系统设计方案 A new PLL topology and a new simplified linear model are presented. The new fractional-N synthesizer
A new PLL topology and a new simplified linear model are presented. The new fractional-N synthesizer presents no reference spurs and lowers the overall phase noise, thanks to the presence of a SampleJHold block. With a new simulation methodology it is possible to perform very accurate simulations, w ...
matlab例程 Waterfilling algorithm (from [Palomar and Fonollosa, Trans-SP2004]) to compute: pi = (mu*ai - bi
Waterfilling algorithm (from [Palomar and Fonollosa, Trans-SP2004]) to compute:
pi = (mu*ai - bi)^+
sum(pi) = Pt
By Daniel Perez Palomar (last revision: May 10, 2004).
人工智能/神经网络 Fisher Linear Discriminat. fld - Fisher Linear Discriminat. fldqp - Fisher Linear Discriminat
Fisher Linear Discriminat.
fld - Fisher Linear Discriminat.
fldqp - Fisher Linear Discriminat using quadratic programming.
人工智能/神经网络 New training algorithm for linear classification SVMs that can be much faster than SVMlight for larg
New training algorithm for linear classification SVMs that can be much faster than SVMlight for large datasets. It also lets you direcly optimize multivariate performance measures like F1-Score, ROC-Area, and the Precision/Recall Break-Even Point.
Java编程 HTML Parser is a Java library used to parse HTML in either a linear or nested fashion. Primarily use
HTML Parser is a Java library used to parse HTML in either a linear or nested fashion. Primarily used for transformation or extraction, it features filters, visitors, custom tags and easy to use JavaBeans. It is a fast, robust and well tested package.
其他 Linear公司的POE设计参考文档
Linear公司的POE设计参考文档，请需要的朋友快下