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chap4_09_GPC_NoIden
广义预测控制（C=1）（对象参数已知）N1=d、N、Nu取不同的值(Generalized predictive control (C = 1) (object parameter known) N1 = d, N, Nu is the different value)
- 2012-06-04 17:42:16下载
- 积分：1
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apfdefangzhen
APF的仿真，ipiq检测，希望能帮到大家，相互交流一下心得(APF simulation, ipiq detection, hope to help you, exchange ideas)
- 2014-08-19 15:55:19下载
- 积分：1
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FFTjuanji
对鸟鸣信号和脉冲信号进行傅里叶变换并相乘，实现卷积功能(Birdsong signal and the pulse signal, the Fourier transform and multiplying the convolution function)
- 2013-04-12 10:09:05下载
- 积分：1
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decoding_performance
Implementation of symbol by symbol detection, sequence detection, and Viterbi algorithm in channel with ISI and compare performance based on SNR, channel taps, and packet size.
- 2009-11-19 12:41:14下载
- 积分：1
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matlabanditscoursesinthesciencesandtheapplicationo
经典《matlab及其在理工课程中的应用指南》电子书(Classic " matlab and its courses in the sciences and the application of Guide" e-books)
- 2010-03-06 16:57:57下载
- 积分：1
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threebody
求解三体问题，并画动态图像。同时含有解释三体问题的pdf文件(Solving the three-body problem, and draw a dynamic image. Also contains a pdf file explaining the three-body problem)
- 2012-06-27 23:22:10下载
- 积分：1
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PublishPaperinTopJournal
<How to Publish a Paper in the Top Journal><How to Write & Publish a Scientific Paper>两本电子书，或许对需要发论文的你有所启示(<How to Publish a Paper in the Top Journal><How to Write & Publish a Scientific Paper- Scanned> that may help you to learn something about writing a good paper)
- 2013-10-25 10:32:47下载
- 积分：1
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jousang_V4.7
虚拟力的无线传感网络覆盖，用MATLAB编写的遗传算法路径规划，鲁棒性好，性能优越。( Virtual power wireless sensor network coverage, Genetic algorithms using MATLAB path planning, Robustness, superior performance.)
- 2016-09-06 17:57:34下载
- 积分：1
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维纳滤波器的盲解卷积算法m3
基于最佳维纳滤波器的盲解卷积算法，给定信号为任意类型子波，期望输出可以有五类选择 （类型1：零延迟尖脉冲；类型2：任一延迟尖脉冲； 类型3：时间提前了的输入序列；类型4：零相位子波；类型5：任意期望波形。）(Blind deconvolution algorithm based on Best Wiener Filter (Blind Deconvolution) has five types of desired output (type 1: zero-delay spike; type 2: any delay spike; type 3: time-advanced input sequence; type 4: zero-phase wavelet; type 5: arbitrary desired waveform).)
- 2020-07-08 13:08:56下载
- 积分：1
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最大似然
说明： 两种不同的假设：
H1 ： 0 xn A fn wn ( ) cos(2 ) ( ) = ++ π θ n=1,2,…,N，f0 为规一化频率
H0 ： xn wn () () = n=1,2,…,N
其中 w[n]是均值为 0，方差为 2 σ n 的高斯白噪声，A 已知，样本间相互
独立，信号与噪声相互独立; 相位θ 是随机变量，它服从均匀分布
1 0 2 ( ) 20 p
θ π θ π ?? ≤ ≤ = ??? 其它
1）改变输入信噪比（改变 A 或噪声方差均可），给定虚警概率，画出
输入信噪比与检测概率之间的理论曲线。(注意：理论检测曲线与样本
数有关) 2）改变样本数，用 Monte-Carlo 实验方法得出 PF＝0.001 时输入信噪比
与检测概率之间关系曲线（至少三条），并得出结论。 3）改变 M-C 实验次数，样本数不变，用 Monte-Carlo 实验方法得出 PF ＝0.001 时输入信噪比与检测概率之间关系曲线（至少三条），并得出
结论(Draw the theoretical curve between input SNR and detection probability)
- 2020-01-03 22:32:15下载
- 积分：1
