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注意：刚上传的不完整，以这个为准 （在DS-spread spectrum系统中,噪声为加性高斯白噪声,传统单用户检测,线性解相关多用户检测和最小均方误差多用户检测的性能比较）-In DS-spread spectrum system, the noise is additive white Gaussian noise, the traditional single-user detection, the linear decorrelating multiuser detection and
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White noise is a random signal (or process) with a flat power spectral density. In other words, the signal contains equal power within a fixed bandwidth at any center frequency. White noise draws its name from white light in which the power spectral
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This code for simulating MCCDMA over aditive white gausian noise
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Denoising
Reduces the total-variation of the image. Filters out noise while preserving edges. Textures and fine-scale details are also removed. In this demo the assumption is that a white Gaussian noise is added with priori known (or estimated) noi
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描述如何在信号中添加白噪声和已知信噪比的高斯白噪声！-Describe how to add white noise in the signal and known SNR Gaussian white noise!
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LFM线性调频波的MATLAB仿真 利用matlab软件设计匹配滤波器。具体包括：
1）：阐述脉冲压缩（匹配滤波）的基本原理；
2）：输入信号为线性调频信号，存在的噪声信号为白噪声；
3）：通过脉冲压缩处理，讨论输出信噪比的改善。
-The the LFM chirp wave MATLAB simulation using matlab software design matched filter. Specifically including: 1): elaborat
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In this post, we will derive the theoretical equation for bit error rate (BER) with Binary Phase Shift Keying (BPSK) modulation scheme in Additive White Gaussian Noise (AWGN) channel. The BER results obtained using Matlab/Octave simulation scr ipts s
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Abstract— with the latest advancements in electronics,
several techniques are used for removal of unwanted entities
from signals especially that are implied in the most
sophisticated applications. The removal of power line
interference from m
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MATLAB软件平台下，利用函数wavread对语音信号进行采样，记住采样频率和采样点数；
2）画出语音信号的时域波形，对采样后的语音进行fft变换，得到信号的频谱特性；对语音信号分别加入正弦噪声和白噪声，画出加噪信号的时域波形和频谱图；
3）根据对加噪语音信号谱分析结果，确定滤除噪声滤波器的技术指标，设计合适的数字滤波器，并画出滤波器的频域响应；
4）用所设计的滤波器对加噪的信号进行滤波，在同一个窗口画出滤波前后信号的时域图和频谱图，对滤波前后的信号进行对比，分析信号变化；
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Introduction
This section builds an example step-by-step to give you a first look at the Communications System Toolbox™ software. This section also shows how Communications System Toolbox functionalities build upon the computational and visual
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Introduction
This section builds an example step-by-step to give you a first look at the Communications System Toolbox™ software. This section also shows how Communications System Toolbox functionalities build upon the computational and visual
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