foc

限幅方法降低OFDM系统误码率，不通限幅率的比较曲线(reducing the OFDM PAPR with different CR in Clipping methord)

根据牛顿插值原理进行数据的拟合，附有牛顿插值原理和它的matlab的实现方法，有点简单了，但是过程中的好些地方还是值得学习的。(Newton interpolation carried out in accordance with the principle of data fitting, with Newton interpolation matlab principle and its realization method, a bit simple, but in the process of a number of places it is still worth learning.)

hybrid of ICA and K-mean to improve K-mean

aco feature selection

finding the burst image for skew angle detection

neural networks in finance. gaining a predictive edge

基于matlab开发的利用贝叶斯网络计算配电网可靠性(Distribution network reliability based on Bayesian network matlab development)

Matlab 自相关方法求声音信号包络源代码及说明(Method Matlab autocorrelation envelope of the voice signal and note the source code)

1.产生阶数为n的m序列。 2.测试阶数为n的m序列是否满足m序列性质。（与相应的m序列生成程序配合使用。实现检测效果）(1. Generate the order number n, m sequence. 2. Testing the order of n-m-sequence satisfies the nature of m sequences. (With the corresponding m-sequence generation program used in conjunction. To achieve detection results))

该算法用于自回归输入模型，是一种迭代的算法。其基本思想是基于对数据先进行一次滤波处理，后利用普通最小二乘法对滤波后的数据进行辨识，进而获得无偏一致估计。但是当过程的输出信噪比比较大或模型参数较多时，这种数据白色化处理的可靠性就会下降，辨识结果往往会是有偏估计。数据要充分多，否则辨识精度下降。模型阶次不宜过高。初始值对辨识结果有较大影响。(The algorithm used for autoregressive input model, it is a kind of iterative algorithm. The basic idea is based on data to conduct a filtering processing, after using ordinary least square method to identify the data filter, and then obtain unbiased consensus estimates. But when the process output signal-to-noise ratio is larger or model parameters are too, this kind of data white processs reliability will drop, identification results tend to be biased estimate. Data should fully, otherwise the identification accuracy down. Model order time shoulds not be too high. Initial value to identification results have great influence on.)