Fisher-program

DTW（Dynamic Time Warping，动态时间归整）算法，该算法基于动态规划（DP）的思想，解决了发音长短不一的模板匹配问题，是语音识别中出现较早、较为经典的一种算法。用于孤立词识别，DTW算法与HMM算法在训练阶段需要提供大量的语音数据，通过反复计算才能得到模型参数，而DTW算法的训练中几乎不需要额外的计算。所以在孤立词语音识别中，DTW算法仍然得到广泛的应用。 (DTW (Dynamic Time Warping, dynamic time warping) algorithm based on dynamic programming (DP) ideas, sounds of varying lengths to solve the template matching problem, is speech recognition appeared earlier, more classic kind of algorithm. For isolated word recognition, DTW algorithm and HMM algorithm in the training phase need to provide a large number of voice data, obtained by repeated calculations to model parameters, while the DTW algorithm is almost no additional training calculations. Therefore, in isolated word speech recognition, DTW algorithm is still widely used.)

constructive role of noise in signal detection from parallel arrays of quantizers.(A noisy input signal is observed by means of a parallel array of one-bit threshold quantizers,in which all the quantizer outputs are added to produce the array output.s(t)=s1(t)with prior probability P0,or s(t)=s0(t)with prior probability P1=1-P0 input signal-noise mixture x(t)=s(t)+n(t) x(t) is observed by means of a parallel array of M threshold comparators. yi(t)=U[x(t)+wi(t)-theta],i=1,2...M.wi(t) is threshold noise.Y(t)=y1(t)+y2(t)+...yM(t), the array output Y(t) is meansured at T distinct times.the plot is fthe theoretical value of minimal detection error probability Per varied with sigma.)

以时滞切换系统为对象，给出了使系统稳定的输出状态反馈器设计条件(Dynamic output feedback control for a class of switched delay)

Source code of Model AR

这是关于粒子群算法的matlab程序，希望可以对有需要的人有帮助！(This is the particle swarm algorithm matlab procedures, hope that can help people in need! )

使用Matlab编程工具对多元函数的Newton算法的实现(Newton algorithm)

最大信噪比的独立分量分析算法，一种噪声辅助数据分析方法,ML法能够很好的估计信号的信噪比。( SNR largest independent component analysis algorithm, A noise auxiliary data analysis method, ML estimation method can be a good signal to noise ratio.)

DESCRIPTION: This Matlab algorithm performs many tasks associated with power system analysis. First, it has the ability to perform both fully coupled and dc power flow analysis. Second, it has the ability to create measurements (with user-defined error) to be used as input for state estimation. Third, it has the ability to perform state estimation - allowing the user to examine how the placement of measurement devices as well as magnitude of distibution of measurement error affect the discrepency between power flow and state estimation results. In essence, it provides the user with a complete package for the study of both power flow and state estimation in n-bus power systems.

用最小二乘法反应雷达得到的图像，得到各种数据特征参数(Reaction of the least square method to obtain the radar image data to obtain various characteristic parameters)

33节点 潮流计算 希望对大家用 大家可以看看(very good)