motor

ParInfoGain - Computes parallel information gain and gain ratio in Matlab using the Matlab Parallel Computing Toolbox or the Distributed Server (if available) Information gain is defined as: InfoGain(Class,Attribute) = H(Class) - H(Class | Attribute) Gain ratio is defined as: GainRatio(Class, Attribute) = (H(Class) - H(Class | Attribute)) / H(Attribute). ...where H is the entropy, defined as - sum(i=1 to k) pi log2 pi

matlab实用教程中的例程。承接上面上传到4个文件，已传完整本书的例程源码。(Practical tutorial matlab routines. Undertake the above 4 files uploaded to have a complete book of routine transmission source.)

参数为：载波频率f0为20MHz，采样频率为4倍f0，脉宽为1us ，脉冲周期为20us 。其中：(Parameters: carrier frequency f0 is 20MHz, the sampling frequency is 4 times f0, a pulse width of 1us, the pulse period is 20us. Of which:)

说明：  三机九节点暂态稳定分析 现代电力系统分析(Three-machine nine nodes in transient stability analysis of modern power system analysis)

please give matlab code

这是篇关于matlab环境下的数字滤波器的论文，低通数字FIR滤波器设计与仿真(This is a chapter on the environment matlab digital filter paper, low-pass digital FIR filter design and simulation)

A Comprehensive Sparse Learning Package(Descriptions: Six sparse algorithms are implemented in this package. They are 1) SVM 2) L1-norm SVM a) Linear Programming SVM b) SC-SVM 3) L0-norm SVM 4) RVM (Relevance Vector Machine) 5) SPC (Sparse Probit Classifier))

通过C +FORTRAN 在Simulink中解Riccati代数方程(ALGEBRAIC RICCATI SOLUTION IN SIMULINK VIA C+ FORTRAN )

BWT decomposition Version 1.2 Arguments: im: A square image side length must be a power of 3 Result: decomp: The decomposition is laid out (BWT decomposition Version 1.2 Arguments: im: A square image side length must be a power of 3 Result: decomp: The decomposition is laid out as (per Figure 3 of Willmore et al 2008): Citation: Willmore B, Prenger RJ, Wu MC and Gallant JL (2008). The Berkeley Wavelet Transform: A biologically-inspired orthogonal wavelet transform. Neural Computation 20:6, 1537-1564 )

用PF和EKF实现了多径参数估计,有很详细的程序说明(Multipath estimation is programed using PF and EKF in matlab. The explanation is detailed )