对图像进行local ApproximATion处理的技术,应用于图像去模糊中.
标签： ApproximATion local 图像 应用于
上传时间： 2014-12-01
上传用户：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.
标签： ApproximATion converters successive family
上传时间： 2016-11-20
上传用户：libenshu01
MATLAB CODE FOR SIMULATION OF A SUCCESSIVE ApproximATion CONVERTER
标签： ApproximATion SIMULATION SUCCESSIVE CONVERTER
上传时间： 2017-01-15
上传用户：问题问题
meshless method programme for moving least square ApproximATion
标签： ApproximATion programme meshless method
上传时间： 2014-01-23
上传用户：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.
标签： ApproximATion straightforward the Gaussian
上传时间： 2017-06-03
上传用户：dyctj
Solve TSP by local ApproximATion
标签： ApproximATion Solve local TSP
上传时间： 2017-07-06
上传用户：远远ssad
A Deflationary fastICA using negentropy ApproximATion implementted in Matlab
标签： ApproximATion Deflationary implementted negentropy
上传时间： 2017-07-11
上传用户：star_in_rain
right ApproximATion of integrals
标签： ApproximATion integrals right of
上传时间： 2017-09-15
上传用户：anng
ApproximATion algorithm
上传时间： 2021-09-04
上传用户：dqq1019
自适应(Adaptive)神经网络源程序 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
标签： collection implement Adaptive adaptive
上传时间： 2015-04-09
上传用户：ywqaxiwang
