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bpsk_awgn
BPSK的AWGN分析归一化，对初学者会有所帮助(BPSK Analysis of the AWGN normalized, it would be helpful for beginners)
- 2007-10-28 16:28:29下载
- 积分：1
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gauselim
a routine for Gaussian elimination together w/ gepivot.m which you will need for running
- 2009-06-23 05:58:03下载
- 积分：1
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ctmsim_v1_1
Ctmsim For Matlab 来自Mathwork官网，统计仿真工具，2014MCM A(Ctmsim For Matlab)
- 2014-02-08 20:09:13下载
- 积分：1
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demodulation
主要仿真了ZF MMSE 算法在解调过程中的性能(Simulation of the main ZF MMSE algorithm performance in the demodulation process)
- 2016-04-16 13:39:10下载
- 积分：1
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自适应滤波器
通过设计一个二阶加权系数自适应横向FIR滤波器，对一个加随机噪声的正弦信号实现滤波。
具体设计方案为：
1，生成标准正弦信号S
2，生成等长的随机信号N
3，生成加随机噪声的正弦信号X
4，X通过参数可调数字滤波器，输出Y
5，Y与参考信号作差得到误差E
6，E通过自适应算法调整权值W
7，用LMS算法处理噪声干扰的信号，最终实现滤波器功能(A two order weighted coefficient adaptive transverse FIR filter is designed to filter a sinusoidal signal with random noise.
The specific design scheme is as follows:
1, generating a standard sinusoidal signal S
2, generating an equal length random signal N
3, generating a sinusoidal signal X with random noise
4, X can adjust the digital filter by parameter and output Y
5, the difference between the Y and the reference signal is E
6, E adjusts the weight W through the adaptive algorithm
7, the LMS algorithm is used to deal with the noise interference signal, and the filter function is finally realized.)
- 2018-03-15 21:40:51下载
- 积分：1
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PSO-Sphere
粒子群优化算法pso的matlab程序,测试函数为Sphere函数,可以直接使用,其他函数可以自己更改(PSO pso matlab program, test the function of Sphere function, can be used directly, other functions can own change)
- 2020-11-26 12:19:31下载
- 积分：1
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GN25L98datasheet
GN25L98 GPON 的芯片手册 详细记载了芯片的使用方法(GN25L98 GPON chip manual Detailed the use of the chip)
- 2020-12-07 09:49:22下载
- 积分：1
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第三章
说明： 传感器阵列波束优化设计与应用书籍的第三章matlab程序(Chapter III matlab program of book Sensor array beam optimization design and application)
- 2021-03-19 22:09:18下载
- 积分：1
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nioton-rafson
nioton-rafson matlab program
- 2010-08-23 04:04:43下载
- 积分：1
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adaboost_for_matlab
AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files
1. ADABOOST_tr.m
2. ADABOOST_te.m
to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.(AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.)
- 2020-10-21 21:17:23下载
- 积分：1
