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技术资料 GaussNoise11900082321
GaussNoise
通信中加入高斯噪音
需要调试-GaussNoise communication needs by adding Gaussian noise Debugging
人工智能/神经网络 This demonstration illustrates the application of adaptive filters to signal separation using a str
This demonstration illustrates the application of adaptive filters to signal separation
using a structure called an adaptive line enhancer (ALE). In adaptive line
enhancement, a measured signal x(n) contains two signals, an unknown signal
of interest v(n), and a nearly-periodic noise signal eta(n). ...
技术资料 BFP 405 晶体管设计输出性能优良的1.9 GHz低噪声放大器
This application note describes a low noise amplifier at 1.9GHz using SIEMENSSIEGETâ25 BFP
技术资料 BFP 420晶体管设计输出性能优良的1.9 GHz低噪声放大器
This application note describes a low noise amplifier at 1.9GHz using SIEMENSSIEGETâ25 BFP
技术资料 BFP 405晶体管设计噪声性能优良的1.9 GHz低噪声放大器
This application note describes a low noise amplifier at 1.9GHz using SiemensSIEGETâ25 BFP
模拟电子 RF至数字接收器的信号链噪声分析
 
Designers of signal receiver systems often need to performcascaded chain analysis of system performancefrom the antenna all the way to the ADC. Noise is a criticalparameter in the chain analysis because it limits theoverall sensitivity of the receiver. An application’s noiserequirem ...
技术资料 HFA3424EVAL评估板的使用
The HFA3424 is a highly integrated Low Noise Amplifier for use in the 2.4GHz ISM band. The LNA fe
通讯/手机编程 In this project we analyze and design the minimum mean-square error (MMSE) multiuser receiver for un
In this project we analyze and design the minimum mean-square error (MMSE) multiuser receiver for uniformly quantized synchronous code division multiple access (CDMA) signals in additive white Gaussian noise (AWGN) channels.This project is mainly based on the representation of uniform quantizer by ...
资料/手册 数字信号处理与噪音抑制
数字信号处理与噪音抑制Advanced Digital Signal Processing and Noise Reduction,这个是第二版。
matlab例程 Compute Classical CFAR binary detection threshold for radar detection under additive Gaussian white
Compute Classical CFAR binary detection threshold for radar detection under additive Gaussian white noise criterion and specified false alarm probability.