搜索资源列表
GSM_Blocks
- Simulator for a GSM traffic channel transmission and reception This Simulink model simulates the entire transmission and reception of voice data of a traffic channel for GSM (TCH/FS)over a multipath fading channel, and it calculates the BER of the
traces
- this a matlab file channel rate who is maked by me.this is used in gsm,gprs,edge traffic simulation.-this is a matlab file channel rate who is maked by me.this is used in gsm,gprs,edge traffic simulation.
tch
- Traffic channel simulation resolved 1/4 bit issue.
IS-95A
- IS-95A Reverse Traffic Channel Open and Closed Loop Power Control complete simulink simulation
Erlang-B
- 仿真采用Erlang B模型,此仿真考虑用户呼叫时,若无空闲信道则被阻塞的情况。对话务量和阻塞率进行仿真-Simulation using Erlang B model, consider the user calls this simulation, the channel was idle without congestion. Blocking rate for traffic simulation
txinndaooh
- 本文使用Matlab及Simulink软件源码包对cdma20000的前向业务信道进行时间流与数据流仿真,并对仿真结果进行了对比分析。 -This article uses the Matlab and Simulink software source code packages on cdma20000 the first time flow and data flow simulation, and simulation results were compared to the tra
CDMA2000
- 基于matlab CDMA2000 前向业务信道-Based on matlab CDMA2000 forward traffic channel
IS-95_endtoend_simulink
- Is-95 反向业务信道端到端simulink仿真-Is-95 reverse traffic channel end simulink simulation
zidongyuanbaojijiaotongmoni
- 基于元胞机的交通通道的模拟,是一个很好的例子 -Based on cellular automata machine traffic channel simulation
LipingJi2SA
- Simulator of Liping Ji s A normal-traffic network covert channel Steganography, Steganlysis-Simulator of Liping Ji s A normal-traffic network covert channel Steganography, Steganlysis
CA_TrafficFlowModel
- 交通流元胞自动机Matlab源代码 *跟驰功能 *换道功能*元胞空间定义功能*车辆定义功能*驾驶员特性定义功能*发车密度定义功能*信号配时定义功能*换道比例定义功能-Traffic flow cellular automata Matlab source code* follow the function * lane changing function* unit cell space definition function* vehicle definition function*
MATLAB雾霾交通标志shibie[GUI]
- 该课题为基于MATLAB bp神经网络的雾霾天气下交通标志的识别系统。主要分两步骤,一是进行图像去雾,采用暗通道的方法获取光透射率,从而去除雾霾。得到清晰的图片后,利用颜色的方法进行交通标志的定位,众所周知,交通标志基本是红,蓝,黄三色组成,根据RGB不同组合可以定位到不同颜色,因为存在误差,所以需要借助形态学相关知识,将得到的误干扰面积去除,从而实现精准定位。定位后,在原图基础上进行分割出彩色图标,利用bp神经网络方法,进行训练,识别,从而得出结果。本设计配有一个GUI可视化界面,操作简单容易
