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Average-Interpolating 的查询结果
企业管理 function [beta,alfa] = AIDyadDown(afine,D,F,EF) % AIDyadDown -- Average-Interpolating DownSampling
function [beta,alfa] = AIDyadDown(afine,D,F,EF)
% AIDyadDown -- Average-Interpolating DownSampling Operator
数学计算 This program will ask how many numbers you want to find the average of, then it will allow you to en
This program will ask how many numbers you want to find the average of, then it will allow you to enter your numbers(yes they can even be decimals) then it will calculate the mean, median, mode and range of what you enter.
matlab例程 An AutoRegressive Moving Average Spectral Analysis toolbox for use with Matlab.
An AutoRegressive Moving Average Spectral Analysis toolbox for use with Matlab.
嵌入式/单片机编程 Nand Flash Translation Layer 用于nandflash的操作。 bad block memory map garbage collection average er
Nand Flash Translation Layer
用于nandflash的操作。
bad block
memory map
garbage collection
average erase
matlab例程 krigging model for interpolating data
krigging model for interpolating data
其他 using judgement on average power overflow or too small to implement the protection on amplifier
using judgement on average power overflow or too small to implement the protection on amplifier
matlab例程 matlab ofdm signal simulation. PAPR(peak to average power ratio) modeling.
matlab ofdm signal simulation. PAPR(peak to average power ratio) modeling.
VHDL/FPGA/Verilog This an interpolating by 2 half-band filter with 79 taps (40 none-zero coefficients).
This an interpolating by 2 half-band filter with 79 taps (40 none-zero coefficients).
matlab例程 This function calculates Akaike s final prediction error % estimate of the average generalization e
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
% weights in the network if the network has been train ...
人工智能/神经网络 This function calculates Akaike s final prediction error % estimate of the average generalization e
This function calculates Akaike s final prediction error
% estimate of the average generalization error for network
% models generated by NNARX, NNOE, NNARMAX1+2, or their recursive
% counterparts.
%
% [FPE,deff,varest,H] = nnfpe(method,NetDef,W1,W2,U,Y,NN,trparms,skip,Chat)
% produces the fin ...