DOA常用算法之一:Capton算法, 也叫做MVDRE ( Minimum Variance Distorionless Response Estimator ),是计算Power specturm
标签： Distorionless Estimator Variance Response
上传时间： 2014-01-16
上传用户：王者A
Generates a static minimum-variance Huffman code tree.，详细给出了HUFFMAN码树构造
标签： minimum-variance Generates Huffman static
上传时间： 2013-12-21
上传用户：1101055045
Capon提出MVDR（Minimum Variance Distortionless Response）高分辩方位估计方法以来，MVDR以其简单的算法、良好的性能得到了广泛关注，是一种具有良好实用前景的数字波束形成方法。
标签： Distortionless Variance Response Minimum
上传时间： 2014-01-19
上传用户：1079836864
Matlab program to plot efficient frontier and minimum variance portfolio
标签： efficient portfolio frontier variance
上传时间： 2014-01-24
上传用户：lnnn30
This program uses Markowitz portofolio theory to find combination of stocks in a portfolio which has minimum variance for expected returns
标签： combination portofolio Markowitz portfolio
上传时间： 2017-05-07
上传用户：李彦东
In this project we analyze and design the minimum mean-square error (MMSE) multiuser receiver for uniformly quantized synchronous code division multiple access (CDMA) signals in additive white Gaussian noise (AWGN) channels.This project is mainly based on the representation of uniform quantizer by gain plus additive noise model. Based on this model, we derive the weight vector and the output signal-to-interference ratio (SIR) of the MMSE receiver. The effects of quantization on the MMSE receiver performance is characterized in a single parameter named 鈥漞quivalent noise variance鈥? The optimal quantizer stepsize which maximizes the MMSE receiver output SNR is also determined.
标签： mean-square multiuser receiver project
上传时间： 2014-11-21
上传用户：ywqaxiwang
方差分析（analysis of variance，或缩写ANOVA）又称变异数分析，是一种应用非常广泛的统计方法。其主要功能是检验两个或多个样本平均数的差异是否有统计学意义，用以推断它们的总体均值是否相同。
上传时间： 2013-12-24
上传用户：wab1981
2^x mod n = 1 acm竞赛题 Give a number n, find the minimum x that satisfies 2^x mod n = 1. Input One positive integer on each line, the value of n. Output If the minimum x exists, print a line with 2^x mod n = 1. Print 2^? mod n = 1 otherwise. You should replace x and n with specific numbers. Sample Input 2 5 Sample Output 2^? mod 2 = 1 2^4 mod 5 = 1
标签： mod satisfies minimum number
上传时间： 2015-06-02
上传用户：qlpqlq
This program demonstrates some function approximation capabilities of a Radial Basis Function Network. The user supplies a set of training points which represent some "sample" points for some arbitrary curve. Next, the user specifies the number of equally spaced gaussian centers and the variance for the network. Using the training samples, the weights multiplying each of the gaussian basis functions arecalculated using the pseudo-inverse (yielding the minimum least-squares solution). The resulting network is then used to approximate the function between the given "sample" points.
标签： approximation demonstrates capabilities Function
上传时间： 2014-01-01
上传用户：zjf3110
Classify using the minimum error criterion via histogram estimation of the densities
标签： estimation the criterion densities
上传时间： 2015-08-28
上传用户：wang0123456789
