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Description: NS2 下AODV路由协议的 包括以下文件 都有注解
（1）aodv.h
（2） aodv.cc
（3） aodv_mcast.cc
（4） aodv_mtable.h
(5) aodv_mtable.cc
（6）aodv_mtable_aux.h
（7）aodv_mtable_aux.cc
（8）aodv_packet.h
（9）aodv_rqueue.h
（10）Aodv_rqueue.cc
（11）aodv_rtable.cc
（12）aodv_rtable.h
（13）cmu-trace.cc
（14）node.cc
（15）node.h
（16）ns-mcast.tcl
（17）wireless-phy.h
（18）wireless-phy.-The the NS2 next AODV routing protocol include the following documents have Comment (1) aodv.h (2) aodv.cc (3) aodv_mcast.cc (4) aodv_mtable.h-(5) aodv_mtable.cc (6) aodv_mtable_aux.h (7 ) aodv_mtable_aux.cc (8) aodv_packet.h (9) aodv_rqueue.h (10) Aodv_rqueue.cc (11) aodv_rtable.cc (12) aodv_rtable.h (13) cmu-trace.cc (14) node.cc (15 ) node.h (16) ns-mcast.tcl (17) wireless-phy.h (18) wireless-phy.cc
Platform: |
Size: 302080 |
Author: 林亦楠 |
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Description: ns2_zigbee
=== ====
Performance evaluation of Zigbee based on NS2
This repositories includes the codes of my undergraduate thesis.
1. zigbee.scn: network topology in 3D
2. zigbee.tcl: network script written in tcl
3. thr_drop_delay.awk: eualuation script written in awk
4. data: results of delay, throughput, jitter, and packet loss rate
5. out: figures of results
6. demo: demos of nam
7. thesis
How to
1. make sure zigbee.scn and zibee.tcl are in the same folder
2. cd to the folder by terminal
3. run ns zigbee.tcl
4. run awk -f thr_drop_delay.awk zigbee.tr
5. run gnuplot xxx.dat
-ns2_zigbee
==========
Performance evaluation of Zigbee based on NS2
This repositories includes the codes of my undergraduate thesis.
1. zigbee.scn: network topology in 3D
2. zigbee.tcl: network script written in tcl
3. thr_drop_delay.awk: eualuation script written in awk
4. data: results of delay, throughput, jitter, and packet loss rate
5. out: figures of results
6. demo: demos of nam
7. thesis
How to
1. make sure zigbee.scn and zibee.tcl are in the same folder
2. cd to the folder by terminal
3. run ns zigbee.tcl
4. run awk -f thr_drop_delay.awk zigbee.tr
5. run gnuplot xxx.dat
Platform: |
Size: 1358848 |
Author: Nguyen Hoang Anh |
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Description: 单输入单输出系统噪信比的计算：%SISO系统噪信比的计算
clear all;
a=[1 -0.4]; b=[1]; c=[1 -0.3]; %对象参数A、B、C
na=length(a)-1; nb=length(b)-1; nc=length(c)-1; %各多项式阶次
n=max(max(na,nb),nc);
a0=[a zeros(1,n-na)]; b0=[b zeros(1,n-nb)]; c0=[c zeros(1,n-nc)]; %高次项补0
deltau2=1; deltav2=1; %输入、白噪声方差
for i=1:n+1 %计算p、q的初值
p(i,n+1)=a0(i);
qg(i,n+1)=b0(i); %对应传递函数G的q值
qh(i,n+1)=c0(i); %对应传递函数H的q值
end
for k=n:-1:1 %计算p、q
for i=1:k
p(i,k)=(p(1,k+1)*p(i,k+1)-p(k+1,k+1)*p(k+2-i,k+1))/p(1,k+1);
qg(i,k)=(p(1,k+1)*qg(i,k+1)-qg(k+1,k+1)*p(k+2-i,k+1))/p(1,k+1);
qh(i,k)=(p(1,k+1)*qh(i,k+1)-qh(k+1,k+1)*p(k+2-i,k+1))/p(1,k+1);
end
end
deltax2=0; deltae2=0;
for k=1:n+1 %求输入响应x、噪声响应e的方差
deltax2=deltax2+qg(k,k)^2/p(1,k);
deltae2=deltae2+qh(k,k)^2/p(1,k);
end
deltax2=deltax2*deltau2/a(1) %D[x(k)]
deltae2=deltae2*deltav2/a(1) %D[e(k)]
ns=sqrt(deltae2/deltax2) %噪信比
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Size: 970 |
Author: kristaleebom |
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Description: 本文件牛逼的不行，想用的话自己打开来看吧，保证你大开眼界，流连忘返-class DZTstruct{
public:
unsigned short rh_tag //0xONff where N=rh_nchan-1 (0-15) unsigned short 0-1
unsigned short rh_data //offset to data (1024*rhnchan) unsigned short 2-3
unsigned short rh_nsamp //samples per scan (2-65635) unsigned short 4-5
unsigned short rh_bits //bit per data word (8,16,32,64) unsigned short 6-7
short rh_zero //binary offset (-128,-32768,etc.) short 8-9
float rh_sps //scans per second float 10-13 0A-0D
float rh_spm //scans per mark float 14-17 0E-11
float rh_mpm //maters per mark float 18-21 12-15
float rh_position //position (ns) float 22-25 16-19
float rh_ra
Platform: |
Size: 2048 |
Author: keenly |
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Description: this a example of DSR (Dynamic source Routing) protocol in MANET (Mobile Ad-Hoc Network).
In this scenario,using wireless and 3 nodes. The traffic using TCP (Transmission COntrol Protocol)
this code run in ns-2.34 or above -this is a example of DSR (Dynamic source Routing) protocol in MANET (Mobile Ad-Hoc Network).
In this scenario,using wireless and 3 nodes. The traffic using TCP (Transmission COntrol Protocol)
this code run in ns-2.34 or above
Platform: |
Size: 1024 |
Author: gungpremapradana |
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Description: NSGA (No n- Do mina te d So r ting in Ge ne tic Alg o r ithms [5 ]) is a p o pula r no n-do mina tio n ba s e d g e ne tic a lg o r ithm fo r multi- o b je c tive o ptimiz a tio n. I t is a ve r y
e ff e c tive a lg o r ithm but ha s b e e n g e ne r a lly c r itic iz e d fo r its c o mputa tio na l c o m-ple x ity, la ck o f e litis m a nd fo r cho o s ing the o ptima l pa r a mete r va lue fo r s ha r ing
pa r a me te r σsh ar e . A mo difi e d ve r s io n, NSGA- I I ( [3 ]) wa s de ve lo p e d, w hich ha s a
b e tte r s o r ting a lg o r ithm , inc o r p o r a te s e litis m a nd no s ha r ing pa r a me te r ne e ds to
b e cho s e n a priori. NSGA- I I is dis c us s e d in de ta il in this r e p o r t a nd two s a mple
te s t func tio ns a r e o ptimiz e d us ing it.
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Size: 371712 |
Author: wenxiaoyong |
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Description: patch for olsr install
Platform: |
Size: 62464 |
Author: tefy |
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Description: 算法步骤：
（1） 计算图像直方图，灰度级为Ns，图像的平均灰度值为Tc；
（2） 分别计算第一个灰度级和其余灰度级的信息熵并求和，前两个灰度级和其余灰度级的信息熵并求和，以此类推计算Ns个和；
（3） 找到H在Tc附近最大值的位置Tenf即为阈值；
（4） 图像中大于阈值的像素置1，其余置0而实现二值分割。
算法的核心：信息熵越大越有不确定性，分割出的图片越好。(Algorithm steps:
(1) the histogram of the image is calculated, the gray level is Ns, and the average gray value of the image is Tc.
(2) calculate the information entropy of the first gray level and the rest of grayscale, and sum up the information entropy of the first two grayscale and the rest gray level, and calculate Ns sum by analogy.
(3) to find the location of the maximum value of H near Tc, Tenf is the threshold;
(4) 1 pixels larger than the threshold in the image, and the rest 0 to achieve the two value segmentation.
The core of the algorithm: information entropy is more uncertainty, the segmented image.)
Platform: |
Size: 71680 |
Author: leo小野兽 |
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Description: 硬件平台：红牛stm32F103ZE开发板，DDS模块：AD9910
软件版本：Keil 4
固件库版本：3.5
已完成功能：
（1）产生频率范围：1Hz - 400MHz 的正弦波（按键触发：开发板上 WAKEUP 按键）
（2）产生幅度范围：1mV - 650mV 的正弦波（初始化后为：500mV）
（3）产生上下限频率、频率步进（单位：Hz）、步进时间间隔（单位：us；输入范围：1-262us）可调的扫频波（按键触发：开发板上 USER1 按键）
（4）利用 RAM 调制模式产生方波：采样时间间隔为 4*(1~65536)ns（按键触发：开发板上 USER2 按键）
（5）理论上可用 RAM 调制模式产生任意波形。(Hardware platform: Red Bull stm32F103ZE development board, DDS module: AD9910.
Software version: Keil 4
Firmware library version: 3.5
Completed functions:
(1) produce frequency range: 1Hz - 400MHz sine wave (keypad trigger: WAKEUP button on development board).
(2) the amplitude range is 1mV - 650mV sine wave (initialization: 500mV).
(3) generation of upper and lower frequency, frequency step (unit: Hz), step time interval (unit: US; input range: 1-262us) adjustable sweep wave (key trigger: USER1 button on the development board)
(4) use RAM modulation mode to generate Fang Bo: the sampling interval is 4* (1~65536) ns (button trigger: USER2 button on the development board).
(5) theoretically, arbitrary waveform can be generated by RAM modulation mode.)
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Size: 310272 |
Author: NLQ |
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Description: 简单使用webrtc ns去噪模块的使用，demo是16k采样率的demo，可简单修改试用。(webrtc ns 1.int WebRtcNs_Create(NsHandle** NS_inst)2.int WebRtcNs_Init(NsHandle* NS_inst, uint32_t fs) 3.int WebRtcNs_set_policy(NsHandle* NS_inst, int mode) 4.int WebRtcNs_Process(NsHandle* NS_inst,short* spframe,short* spframe_H,
short* outframe,short* outframe_H))
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Size: 334848 |
Author: jingqian |
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