對(duì)圖像進(jìn)行l(wèi)ocal approximaTIon處理的技術(shù),應(yīng)用于圖像去模糊中.
標(biāo)簽： approximaTIon local 圖像 應(yīng)用于
上傳時(shí)間： 2014-12-01
上傳用戶(hù)：daoxiang126
The ADC0803 family is a series of three CMOS 8-bit successive approximaTIon A/D converters using a resistive ladder and capacitive array together with an auto-zero comparator. These converters are designed to operate with microprocessor-controlled buses using a minimum of external circuitry. The 3-State output data lines can be connected directly to the data bus.
標(biāo)簽： approximaTIon converters successive family
上傳時(shí)間： 2016-11-20
上傳用戶(hù)：libenshu01
MATLAB CODE FOR SIMULATION OF A SUCCESSIVE approximaTIon CONVERTER
標(biāo)簽： approximaTIon SIMULATION SUCCESSIVE CONVERTER
上傳時(shí)間： 2017-01-15
上傳用戶(hù)：問(wèn)題問(wèn)題
meshless method programme for moving least square approximaTIon
標(biāo)簽： approximaTIon programme meshless method
上傳時(shí)間： 2014-01-23
上傳用戶(hù)：jkhjkh1982
The most straightforward approximaTIon is the standard Gaussian approximaTIon, where the MAI is approximated by a Gaussian random variable. This approximaTIon is simple, however it is not accurate in general. In situations where the number of users is not large, the Gaussian approximaTIon is not appropriate. In-depth analysis of must be applied. The Holtzman?s improved Gaussian approximaTIon provides a better approximaTIon to the MAI term. The approximaTIon conditions the interference term on the operation condition of each user.
標(biāo)簽： approximaTIon straightforward the Gaussian
上傳時(shí)間： 2017-06-03
上傳用戶(hù)：dyctj
Solve TSP by local approximaTIon
標(biāo)簽： approximaTIon Solve local TSP
上傳時(shí)間： 2017-07-06
上傳用戶(hù)：遠(yuǎn)遠(yuǎn)ssad
A Deflationary fastICA using negentropy approximaTIon implementted in Matlab
標(biāo)簽： approximaTIon Deflationary implementted negentropy
上傳時(shí)間： 2017-07-11
上傳用戶(hù)：star_in_rain
right approximaTIon of integrals
標(biāo)簽： approximaTIon integrals right of
上傳時(shí)間： 2017-09-15
上傳用戶(hù)：anng
approximaTIon algorithm
標(biāo)簽： approximaTIon algorithm
上傳時(shí)間： 2021-09-04
上傳用戶(hù)：dqq1019
自適應(yīng)(Adaptive)神經(jīng)網(wǎng)絡(luò)源程序 The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring different adaptation algorithms.~..~ There are 11 blocks that implement basically these 5 kinds of neural networks: 1) Adaptive Linear Network (ADALINE) 2) Multilayer Layer Perceptron with Extended Backpropagation algorithm (EBPA) 3) Radial Basis Functions (RBF) Networks 4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN) 5) RBF and Piecewise Linear Networks with Dynamic Cell Structure (DCS) algorithm A simulink example regarding the approximaTIon of a scalar nonlinear function of 4 variables
標(biāo)簽： collection implement Adaptive adaptive
上傳時(shí)間： 2015-04-09
上傳用戶(hù)：ywqaxiwang
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