搜索资源列表
FSKQAMPSK
- PAM QAM PSK调制方式的MATLAB程序.，同时可以对三种调制方式进行具体比较-PAM QAM PSK modulation modes of MATLAB program. , the same time on three specific modulation comparison
各种数字调制的误码率仿真如fsk、psk等
- 不同信噪比下2FSK,2PSK,4PSK,16PSK,16QAM误码性能仿真
ask.fsk.psk.dpsk
- ASK FSK PSK DPSK 图形描述 -ASK FSK PSK DPSK graphic descr iption
PSK
- PSK信号载波相位符号定时联合估计,载波环采用判决反馈环，去除噪声平方损耗，定时模块采用早迟原理， 里边有详细的注释，希望对大家有用。点击即可运行。-PSK signal carrier phase joint estimation of symbol timing, carrier ring using decision feedback loop, remove the noise square loss, using early-late timing module principle
passband-singnal
- plot passband singnal on PAM (ASK), PSK, and QAM signals
iayhere
- 我们现在GSMEDGE信号采用的是旋转的8PSK调制方式,在这里-We now GSMEDGE signal is 8 PSK modulation way of rotating, here you are
winutvs
- 本程序实现对多进制PSK数字调制系统的仿真,程序运行需要几分钟-This procedure realize the multi-band PSK simulation of digital modulation system, program to run for a few minutes
sixunation-minutes
- 本程序实现对多进制PSK数字调制系统的仿真,程序运行需要几分钟-This procedure realize the multi-band PSK simulation of digital modulation system, program to run for a few minutes
9219406
- This procedure realize the multi-band PSK simulation of digital modulation system, program to run for a few minutes
GSK
- 高斯噪声下的8psk误码率检测与理论值比较 不错的源码-8 PSK ber under gaussian noise detection compared with the theoretical value is good source
naussiangwwdber
- 高斯噪声下的8psk误码率检测与理论值比较 不错的源码-8 PSK ber under gaussian noise detection compared with the theoretical value is good source
tjst
- MATLAB仿真通信PSK误码分析,主要用来测试SNR从0到10时的系统性能,-MATLAB simulation PSK communication error analysis, mainly used to test the SNR 0 to 10 at the time of the system performance,
PSV-vww
- 我们现在GSMEDGE信号采用的是旋转的8PSK调制方式,在这里(We now GSMEDGE signal is 8 PSK modulation way of rotating, here you are)
248069
- 本程序实现对多进制PSK数字调制系统的仿真,程序运行需要几分钟(This procedure realize the multi-band PSK simulation of digital modulation system, program to run for a few minutes)
orerride
- 本程序主要是对三种调制方式APSK PSK QAM进行了性能 比较,并采用了最新自适应预失真算法,得出了结论()
copd
- 本程序主要是对三种调制方式APSK PSK QAM进行了性能 比较,并采用了最新自适应预失真算法,得出了结论()