资源列表
cwtexe
- 97 law to enhance the classic procedure Ridge wavelet extraction Modulus maximum for the wavelet edge detection Small spectral analysis method mallat classic procedure-97 law to enhance the classic procedure Ridge wavelet extraction Modulus
[space]MATLABcommand
- [航天]MATLAB命令大全,[航天]MATLAB命令大全-[Space] MATLAB command Guinness, [space] MATLAB command Guinness
Visible_sat_simu
- 用MATLAB编写的GPS导航系统可见卫星的仿真程序,可为GPS仿真人员提供参考-MATLAB prepared with GPS satellite navigation system can be seen the simulation program can provide a reference GPS Simulation
DSB-AM
- 信号BSK-AM调制的代码基于matlab的通信系统仿真系列。刚接触到matlab的朋友使用-BSK-AM signal modulation code matlab-based communications system simulation series.刚接触to friends using matlab
lssb
- Demonstration scr ipt for LSSB-AM modulation. The message signal is +1 for 0 < t < t0/3, -2 for t0/3 < t < 2t0/3, and zero otherwise. -Demonstration scr ipt for LSSB-AM modulation. The message signalis+ 1 for 0 <t <t0/3,-2 for
fm
- Matlab demonstration scr ipt for frequency modulation.供刚接触到matlab的朋友使用-Matlab demonstration scr ipt for frequency modulation. For刚接触to friends using matlab
envelopedetection
- Demonstration scr ipt for envelope detection. The message signal is +1 for 0 < t < t0/3, -2 for t0/3 < t < 2t0/3, and zero otherwise.-Demonstration scr ipt for envelope detection. The message signalis+ 1 for 0 <t <t0/3,-2 for t0/3
fpe
- This function calculates Akaike s final prediction error ％ estimate of the average generalization error. ％ ％ [FPE,deff,varest,H] = fpe(NetDef,W1,W2,PHI,Y,trparms) produces the ％ final prediction error estimate (fpe), the effective number of
kpredict
- k-step ahead predictions determined by simulation of the ％ one-step ahead neural network predictor. For NNARMAX ％ models the residuals are set to zero when calculating the ％ predictions. The predictions are compared to the observed output. ％
MATLAB_GPS_example
- matlab开发的GPS信号simulator，并且包括mdd文件，方便可靠，请勿转载-matlab developed GPS signal simulator, and includes MDD documents, convenient and reliable, please do not reprint
nnprune
- This function applies the Optimal Brain Surgeon (OBS) strategy for ％ pruning neural network models of dynamic systems. That is networks ％ trained by NNARX, NNOE, NNARMAX1, NNARMAX2, or their recursive ％ counterparts.-This function applies the
rpe
- Train a two layer neural network with a recursive prediction error ％ algorithm ("recursive Gauss-Newton"). Also pruned (i.e., not fully ％ connected) networks can be trained. ％ ％ The activation functions can either be linear or tanh. The netw