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qpsk和16qam
本实验利用蒙特卡洛分析方法，通过MATLAB仿真了QPSK,16QAM基带传输系统AWGN和Rayleigh信道下的系统BER性能。仿真过程中通过，m文件的编写，将两个基带系统仿真的结果画在了一张图上(In this experiment, the BER performance of QPSK, 16QAM baseband transmission systems in AWGN and Rayleigh channels is simulated by using Monte Carlo analysis method and MATLAB. In the process of simulation, the simulation results of two baseband systems are drawn on a graph by compiling m files.)
- 2019-05-29 11:04:50下载
- 积分：1
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mybatis 整合后的项目
myabtis 整合后的项目 可直接使用(Myabtis integrated projects can be used directly)
- 2020-06-19 12:00:06下载
- 积分：1
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twoD_CA_CFAR
二维CFAR处理程序，分采用矩形窗和十字窗(Two dimensional CFAR processing program, using rectangular windows and cross windows)
- 2020-12-11 18:39:17下载
- 积分：1
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程序
基于matlab的QPSK调制与解调程序(QPSK modulation and demodulation)
- 2020-06-25 16:20:01下载
- 积分：1
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OmegaKA
波数域成像算法，经验证是一个很好的算法，对目标的成像效果较好(Wave number domain imaging algorithm, the experience card is a good algorithm, on the target better imaging)
- 2020-12-07 14:59:22下载
- 积分：1
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apache-tomcat-5.5.28
tomcate5.5绿色版功能强大，可用,apache-tomcat-5.5.28.zip
(tomcate5.5)
- 2020-06-25 23:00:01下载
- 积分：1
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REFLECT-COEFFICIENCY
地层反射界面反射系数求取 ， 已知速度密度信息求取反射系数(Reflection layer interface reflection coefficient strike, strike a known speed-density information reflection coefficient)
- 2015-12-13 16:28:59下载
- 积分：1
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Bank项目_源代码
说明： 新人练手java小项目，深入了解java中对象的机制与原理，简单易懂，学习效率高(Novice practitioner java small project, in-depth understanding of the object)
- 2019-10-09 09:16:47下载
- 积分：1
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uuservisor
这是一个java编写的航空订票系统,很好的哦,(This is a Java code airline reservation systems, very good oh,)
- 2017-05-30 18:00:13下载
- 积分：1
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chapter1
每组数据为25维，第1维维类别标识，后24维为语音特征信号。然后把四类语音信号何为一组，抽取1500组数据作为训练数据，500组数据作为测试数据，并对数据进行归一化处理。根据语音类别标识设定每组语音信号的期望输出值，如标识类为1时，期望输出向量为[1 0 0 0]。(Each group of data has 25 dimensions, the first dimension is identified by category, and the last 24 dimensions are speech feature signals.Then, select one group of four speech signals, extract 1500 groups of data as training data and 500 groups of data as test data, and normalize the data.Set the expected output value of each group of speech signals according to the speech category identification. For example, when the identification class is 1, the expected output vector is [1 0 0 0].)
- 2019-01-17 11:15:19下载
- 积分：1
