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lpcc

于 2014-10-10 发布文件大小:1KB

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此程序的功能是用自相关法求使信号s均方预测误差为最小的预测系数算法为Levinson-Durbin快速递推算法 (The function of this procedure is signal s with autocorrelation method for the prediction of the minimum mean square prediction error coefficient algorithm for Levinson- Durbin quick recursion method)

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MATLAB
matlab使用教程，对初学者很有帮助的~~(the use of matlab tutorials for beginners helpful ~ ~)

2009-04-10 09:55:24下载

积分：1
RLS
实现了自适应RLS均衡器的MSE仿真曲线(Adaptive RLS equalizer MSE simulation curve)

2012-03-28 09:41:19下载

积分：1
matlab_Function_retrieves
matlab 函数检索表 matlab 函数大全(matlab function)

2013-11-11 00:27:42下载

积分：1
Fourth-order-cumulant--and-MUSIC
四阶累积量MUSIC和常规二阶MUSIC性能对比(Fourth-order cumulant MUSIC and conventional second-order MUSIC performance comparison)

2013-05-06 21:17:06下载

积分：1
伪距定位
改程序使用MATLAB编程实现了GPS的伪距单点定位(The modified program uses MATLAB programming to realize the pseudo range single point positioning of GPS)

2020-12-06 10:59:21下载

积分：1
Blindestimation
根据接收数据阵x 、信道长度LH、过采样因子q ，采用Hopfield 盲处理方法，恢复出相应于x的尽可能长的BPSK发送序列，并估计信道。(Based on the received data matrix x, the channel length of the LH, oversampling factor q, with Hopfield blind treatment, recovery corresponding to x, send a sequence of BPSK as long as possible, and the channel estimate.)

2010-07-02 11:10:50下载

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work
amplitude modulation(AM) and DSB-SC source code

2010-08-30 06:23:43下载

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FingerPrint-Rec
This file (the project file) contains information at the project level and is used to build a single project or subproject. Other users can share the project (.dsp) file, but they should export the makefiles locally.

2012-05-29 18:07:30下载

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book-finite-differnce-for-ode-and-pde
a good book on numerical pde and its miles !

2011-09-27 21:33:40下载

积分：1
work
matlab 关于association rule 的自己写的函数，有3个文件, association.m：h = association(m, i, j) i=>j, m是数据，h是support和confidence，该函数只适用于单个数据 ass_item: h=ass_itset(m, a, b) 同上，但是可用于多个数据（m为数组） assrule: h = assrule(m, threshold1, threshold2) 该函数用于classification，得到规则，threshold1为要求的support,threshold2为要求的confidence，h 则为符合要求的规则及其support和confidence，前2列为规则，后2列为其support和confidence (matlab on the association rule to write functions, there are 3 files, association.m: h = association (m, i, j) i => j, m is the data, h is the support and confidence, this function applies only to a single Data ass_item: h = ass_itset (m, a, b) it is the same as above, but it can be used for multiple data (m can be matrix) assrule: h = assrule (m, threshold1, threshold2) the function used for classification,get the rules, threshold1 is the require of support, threshold2 is the required of confidence, h is the rules and their support and confidence, the former two columns as a rule, the latter two columns as one of its support and confidence)

2009-12-15 02:51:44下载

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lpcc

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