9160122010

利用MATLAB编写的高斯消去法，很好用，也很实用(using MATLAB write Gass)

K-means is a clustering algorithm In the beginning we determine number of cluster K and we assume the centroid or center of these clusters. We can take any random objects as the initial centroids or the first K objects in sequence can also serve as the initial centroids. There are two function for that the kMeanCluster and distMatrix

kriging响应面模型，该程序可以进行函数的拟合，精度很高 (kriging model)

matlab包括最基本的语音处理程序（如谱减法，谱幅度估计，语谱图等）以及语音库(Located in this Prentice Hall web site compartment are functions, scripts, workspaces, and data required by the MATLAB exercises in the text: Discrete-Time Speech Signal Processing: Principles and Practice. Note that the speech files given are often specific cases of a certain class of speech signal, i.e., the waveforms often can be replaced by other examples with similar characteristics that serve the instructive purpose of the exercise.)

这个是无线传感器网络的DV-hop算法，对初学者很有用，可以看看。(This wireless sensor networks DV-hop algorithm, useful for beginners, you can see.)

用matlab设计FIR维纳滤波器 假设一个点目标在x，y平面上绕单位圆做圆周运动，由于外界干扰，其运动轨迹发生了偏移。其中，x方向的干扰为均值为0，方差为0.05的高斯噪声；y方向干扰为均值为0，方差为0.06的高斯噪声。用该滤波器处理观测信号，得到其最佳估计。(FIR Wiener filter design using matlab Suppose a point target in the x, y plane around the unit circle in a circular motion due to external interference, its trajectory shift occurred. Which, x the direction of the interference of mean 0 and variance of 0.05 Gaussian noise y direction of the disturbance is zero mean Gaussian noise variance 0.06. Observed with the filter processing signal, to get the best estimate.)

概率神经网络的分类预测-基于PNN变压器故障诊断(Probabilistic neural network classification and prediction- PNN transformer fault diagnosis based on)

各种无线定位算法的源代码 包括DV-Hop 算法 RSSI算法的，APIT等算法的代码，各种代码的仿真结果图。(A variety of wireless location algorithm source code, including DV-Hop algorithm RSSI algorithm, APIT algorithm code, a variety of code simulation results map.)

说明：  利用SVD进行信号降噪，通过fft判断奇异值个数，确定重构矩阵结构(Using SVD to reduce the noise of signal, using FFT to determine the number of singular values, and determining the structure of reconstruction matrix)

data reduction with fuzzy rough sets or fuzzy mutual information