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matlab例程 实现对InSAR复相位信号进行基于局部频率估计的“斜坡自适应(slope-adapt)滤波” 此滤波方法特别适用于InSAR相位图滤波
实现对InSAR复相位信号进行基于局部频率估计的“斜坡自适应(slope-adapt)滤波”
此滤波方法特别适用于InSAR相位图滤波,能在最大限度保持有用信息的条件下滤除各种噪声。
其他书籍 边坡稳定分析小程序SLOPE相当不错的
边坡稳定分析小程序SLOPE相当不错的
VC书籍 Factory,abstract Factory,Builder,Prototype,Singleton,Adapt,Bridge等20种常见的设计模式(含代码)
Factory,abstract Factory,Builder,Prototype,Singleton,Adapt,Bridge等20种常见的设计模式(含代码)
其他书籍 To fully utilize the available spectrum for a wireless communication system it is feasible to adapt
To fully utilize the available spectrum for a wireless communication
system it is feasible to adapt to different situations
on the channel. In this paper a flexible OFDM
transmitter is presented together with basic theory behind
OFDM transmission. It is shown that high flexibility can
be obtained wi ...
Symbian This C++ code example demonstrates how to localise an application to adapt to the selected phone lan
This C++ code example demonstrates how to localise an application to adapt to the selected phone language. The example application has two sets of localised strings (English and German) for the application name, labels, text, and image. The application also includes number, currency, date, and time ...
模拟电子 DAC技术用语 (D/A Converters Defini
Differential Nonlinearity: Ideally, any two adjacent digitalcodes correspond to output analog voltages that are exactlyone LSB apart. Differential non-linearity is a measure of theworst case deviation from the ideal 1 LSB step. For example,a DAC with a 1.5 LSB output change for a 1 LSB digital codec ...
无线通信 差分電路中單端及混合模式S-參數的使用
Single-Ended and Differential S-Parameters
Differential circuits have been important incommunication systems for many years. In the past,differential communication circuits operated at lowfrequencies, where they could be designed andanalyzed using lumped-element models andtechniques. With the freque ...
其他书籍 无密码
无密码,按CLOSE就可。
第一章是神经网络的基本介绍,第二章包括了由工具箱指定的有关网络结构和符号的基本材料以及建立神经网络的一些基本函数,例如new、init、adapt和train。第三章以反向传播网络为例讲解了反向传播网络的原理和应用的基本过程。 ...
其他 为了介绍ART网络具体工作过程
为了介绍ART网络具体工作过程,我们制作了Matlab演示程序。第一个程序利用newc()函数对网络进行自适应训练,修改权值并对样本进行分类判别;第二个则利用adapt()函数对预测信号进行跟踪训练,并得出训练值与目标值之间的差异。 ...