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找到约 52 项符合 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
https://www.eeworm.com/dl/632/324048.html
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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.
https://www.eeworm.com/dl/641/132105.html
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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.
https://www.eeworm.com/dl/665/179820.html
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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
https://www.eeworm.com/dl/647/180119.html
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matlab例程 krigging model for interpolating data

krigging model for interpolating data
https://www.eeworm.com/dl/665/249464.html
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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
https://www.eeworm.com/dl/534/286533.html
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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.
https://www.eeworm.com/dl/665/341142.html
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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).
https://www.eeworm.com/dl/663/351300.html
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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 ...
https://www.eeworm.com/dl/665/384088.html
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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 ...
https://www.eeworm.com/dl/650/384094.html
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