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Description: 用过采样和求均值提高ADC分辨率
很多应用需要使用模/数转换器 ADC 进行测量 这些应用所需要的分辨率取决于信号的动
态范围 必须测量的参数的最小变化和信噪比 SNR 因此 很多系统使用较高分辨率的片外ADC
然而也可以通过使用一些技术来达到较高的分辨率和SNR 本应用笔记介绍用过采样和求均值的方
法来提高模数转换的分辨率和SNR 过采样和求均值技术可以在不使用昂贵的片外ADC的情况下提
高测量分辨率
本应用笔记讨论如何使用过采样和求均值的方法来提高模/数转换 ADC 测量的分辨率 另
外 本文最后的附录A B和C分别给出了对ADC噪声的深入分析 最适合过采样技术的ADC噪声
类型和使用过采样和求均值技术的示例代码
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Size: 1019554 |
Author: 杨宁 |
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Description: 用过采样和求均值提高ADC分辨率
很多应用需要使用模/数转换器 ADC 进行测量 这些应用所需要的分辨率取决于信号的动
态范围 必须测量的参数的最小变化和信噪比 SNR 因此 很多系统使用较高分辨率的片外ADC
然而也可以通过使用一些技术来达到较高的分辨率和SNR 本应用笔记介绍用过采样和求均值的方
法来提高模数转换的分辨率和SNR 过采样和求均值技术可以在不使用昂贵的片外ADC的情况下提
高测量分辨率
本应用笔记讨论如何使用过采样和求均值的方法来提高模/数转换 ADC 测量的分辨率 另
外 本文最后的附录A B和C分别给出了对ADC噪声的深入分析 最适合过采样技术的ADC噪声
类型和使用过采样和求均值技术的示例代码
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Size: 1018880 |
Author: 杨宁 |
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Description: 用NS2仿真802.11b WLAN信道。指出现有NS2代码中的错误，给出SNR、BER的计算公式和代码实现。-Simulate 802.11b Channel within NS2
This document describes how to simulate one 802.11b channel in NS2. It focuses on how to
simulate wireless transmission error due to bad channel quality. That means BER need to be
considered to determine whether one frame is transmitted correctly. To get BER, SNR need to be
calculated. The following sections describe current simulation of transmission error in NS2, the
methods to calculate SNR and BER, and how to incorporate these methods into NS to achieve our
aim--- to simulate 802.11b channels as exactly as possible.
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Size: 115712 |
Author: kjyqcl |
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Description: Cooperative communication_power control
a) Generate random binary sequence of +1’s and -1’s.
(b) Given different Power to the source and the relay as well
(c) Multiply the symbols with the channel and then add white Gaussian noise.
(d) At any receiver(relay or destination), equalize (divide) the received symbols with the known channel
(e) Perform hard-decision-decoding and count the bit errors
(f) Plot the power given to both source(Ps) and relay(Pr) with both SNR and BER
-Cooperative communication_power control
a) Generate random binary sequence of+1’s and-1’s.
(b) Given different Power to the source and the relay as well
(c) Multiply the symbols with the channel and then add white Gaussian noise.
(d) At any receiver(relay or destination), equalize (divide) the received symbols with the known channel
(e) Perform hard-decision-decoding and count the bit errors
(f) Plot the power given to both source(Ps) and relay(Pr) with both SNR and BER
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Size: 1024 |
Author: tafa |
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Description: 1.5-b/s Pipelined A/D behavior model
以及功能包,包括SNR INL DNL测试- 1.5-b/s Pipelined A/D behavior model
Include SNR INL DNL test progrems
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Size: 4096 |
Author: jason |
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Description: 不同信噪比对误码率性能的影响，仅供参考，效果还可以-BER performance of different signal to noise ratio on the impact of reference only, the effect can be
Platform: |
Size: 2048 |
Author: sishanchen |
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Description: 针对OFDM系统，分成链路级仿真和系统级仿真两个部分。为了降低系统级仿真的复杂度，采用链路级仿真的部分结果。-It contains mainly two parts, i.e. link-level simulator and system-level simulator.
Link-level simulator focus on a single-cell single-user scenario, where signal is transmitted from tx, and estimated at rx. Comparing the difference in tx/rx signal, the error rate can be found out. The output of the link-level simulator is the BLER/BER vs. SNR mapping table, that can be used for the system-level simulation.
System-level simulator focus on a multi-cell multi-user scenario. For the sake of simplicity, it takes the mapping table aquired in the link-level simulation, measure the actural SNR, and finds the corresponding error rate.
Link-level simulator support SISO, 1 by x MRC, 2 by 1 STBC/SFBC, 2 by 2 Alamouti, x by 1 Antenna selection, x by y antenna selection.
System-level simulator, currently support only SISO and 1 by 2 MRC.
To start with, go into the folder sys_link_simu, and excute the following commond from matlab:
sys_link_simu_func(a,b)
where a is the link ada
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Size: 286720 |
Author: 王刚名 |
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Description: 计算雷达的信噪比，其中pt表示峰值功率，freq表示雷达中心频率，g表示天线增益，sigma表示目标截面积，te表示有效噪声温度，b表示带宽，nf表示噪声系数，loss表示雷达损失，range表示目标距离，snr表示信噪比-Calculate the radar signal-to-noise ratio, wherein PT represents the peak power, freq said radar center frequency, g represents the antenna gain, Sigma represents the target cross-sectional area, te effective noise temperature, b represents the bandwidth, nf represents the noise factor, loss represents a radar losses, The range represents the target distance, SNR represents the signal to noise ratio
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Size: 1433600 |
Author: william |
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Description: Generate the code for adding user defined Gaussian Noise (in dB) and
a. Filter out the same using average filter (generate function)
b. Determine the frequency plot
c. Determine error image, SNR and PSNR
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Size: 62464 |
Author: Rokibul Ahmed |
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Description: Generate the code for adding user defined Salt and Pepper Noise (in dB) and
a. Filter out the same using median filter (generate function)
b. Determine the frequency plot
c. Determine error image, SNR and PSNR
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Size: 64512 |
Author: Rokibul Ahmed |
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Description: Write MATLAB code that will do the following.
(a) Add Gaussian, Salt and Pepper and Speckle noise to image.
(b) Perform median filtering to remove noise and determine SNR and PSNR value.
(c) Perform average or low pass filtering to remove noise and determine SNR and PSNR value. (use 3×3, 5×5 and 9×9 window and discuss on the filtered image)
(d) Perform high pass filtering to detect edges.
(e) Perform High Boost filtering
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Size: 53248 |
Author: Rokibul Ahmed |
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Description: Perform base band QPSK modulation of a bit stream:
(a) without using in-built function,
(b) using in-built function.
Pass it through an AWGN channel and plot SNR versus BER of the received signal.
Platform: |
Size: 12288 |
Author: Ratul Deka |
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Description: Aim: To pass a
(a) BPSK signal
(b) QPSK signal
through a flat-fading Rayleigh Channel and observe SNR versus BER plot of the equalized signal.
Platform: |
Size: 13312 |
Author: Ratul Deka |
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Description: 某信道，
输入为M元逻辑符号x：s0、s1、……sM-1
输出y为实数值
信道中发生如下事件：
a=f(x)到实数的一一映射，当x=si时，a=iA，A为一给定的正实数
y=a+n，n为一服从N(0,s2)分布的独立随机变量（与x独立，且每次信道实现时的n均独立）
写出信道转移概率
若输入信道的各符号等概出现，求该信道的互信息量I(X Y)
画出不同信噪比下的互信息量变化的曲线，以M为参数，画一簇曲线（其中加上一条AWGN信道容量曲线作对比）
调整函数a=f(x)，使当x=si时，a=iA-b，b也为一实常数，在A和s不变的情况下，互信息量随b的变化情况是什么趋势？
b的取值对互信息量随信噪比的变化曲线的影响？-A channel,
M-ary input logic symbol x: s0, s1, ...... sM-1
Y is a real value output
Channel, the following events occur:
a = f (x) to the real number one mapping, when x = si time, a = iA, A is a positive real number given to
y = a+ n, n is an obedience N (0, s2) distribution of independent random variables (with x independent, and each channel realization when n independently)
Write channel transition probability
If the input symbols, each channel shall appear, find the channel of mutual information I (X Y)
Draw mutual information changes under different SNR curve, with M as its argument, draw a cluster of curves (which add a AWGN channel capacity curve for comparison)
Adjustment function a = f (x), so that when x = si time, a = iA-b, b is also a real constant, at A and s the same circumstances, mutual information with the change of b is what trend ?
SNR curve with the impact of b values of mutual information?
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Size: 2048 |
Author: 覃云依 |
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Description: mimo无线通信Alamouti方案，重复码编码方案，迫零接收及匹配接收方案实现的matlab源程序
-Implement a complete MIMO system with different combinations of the following components:
(a) Alamouti, repetition code, and V-BLAST (at the transmitter)
(b) zero-forcing and MMSE (at the receiver)
(c) nr 1 and nr 2
and simulate the symbol error probability as a function of the channel SNR P .
The symbol error probability versus SNR plots should be made such that symbol error probability reaches 10 3.
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Size: 10240 |
Author: wanerying |
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Description: MUSIC 算法MATLAB仿真源代码
clc
clear all
format long %将数据显示为长整型科学计数
N=200;%快拍数
doa=[20 60]/180*pi; %信号到达角
w=[pi/4 pi/3]';%信号频率
M=10;%阵元数
P=length(w); %信号个数
lambda=150;%波长
d=lambda/2;%阵元间距
snr=20;%信噪比
B=zeros(P,M); %创建一个P行M列的0矩阵
for k=1:P
B(k,:)=exp(-j*2*pi*d*sin(doa(k))/lambda*[0:M-1]); %矩阵赋值
end
B=B';
xx=2*exp(j*(w*[1:N])); %仿真信号
x=B*xx;
x=x+awgn(x,snr);%加入高斯白噪声
R=x*x'; %数据协方差矩阵
[U,V]=eig(R); %求R的特征值和特征向量
UU=U(:,1:M-P); %估计噪声子空间
theta=-90:0.5:90;
%%谱峰搜索
for ii=1:length(theta)
AA=zeros(1,length(M));
for jj=0:M-1
AA(1+jj)=exp(-j*2*jj*pi*d*sin(theta(ii)/180*pi)/lambda);
end
WW=AA*UU*UU'*AA';
Pmusic(ii)=abs(1/ WW);
end
Pmusic=10*log10(Pmusic/max(Pmusic)); %空间谱函数
plot(theta,Pmusic,'-k')
xlabel('角度 \theta/degree')
ylabel('谱函数P(\theta) /dB')
title('MUSIC算法的DOA估计谱')
grid on(MUSIC algorithm MATLAB simulation source code)
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Size: 15360 |
Author: 冠华 |
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