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介绍了matlab中的M文件用C语言来实现的方法(Matlab introduction of M documents in the C language to realize the method)

可以让用户通过自己定义的变量来调入常用的Kernel(Allows users to adopt its own definition of the variables commonly used redeployed Kernel)

compute a ROC curve hope you will like it

首先将测量值与估计值都进行模糊化，然后计算测量值与估计值之间的格贴近度, 利用贴近度来描述各个传感器在测量中的权重，最后得到融合结果。(First, the measured values and estimated values are fuzzified, and then calculated between measured and estimated values of the lattice close to the degree of closeness to describe the use of various sensors in the measurement of weight, and finally get fusion.)

粒子群优化算法有着广泛的作用，可在MATLAB上运行(Particle swarm optimization algorithm has a broad role, can run on MATLAB)

matlab 的gui范例，适合初学者拿来阅读学习，源代码可以直接运行(matlab gui example, suitable for beginners used to read to learn the source code can be run directly )

基于特征点的全自动无缝图像拼接程序和算法研究(Research programs and automatic seamless image mosaic algorithm based on feature points)

基于RLS算法的数据预测与MATLAB实现—— 递归最小二乘（RLS)算法是一种典型的数据处理方法，递归最小二乘（RLS)算法在信号自适应滤波分析中广泛应用，递归最小二乘（RLS)算法收敛速度快，且对自相关矩阵特征值的分散性不敏感，然而其计算量较大。(RLS algorithm based on forecast data and MATLAB realization Recursive Least Squares (RLS) algorithm is a typical method of data processing, recursive least squares (RLS) algorithm is widely used in signal analysis, adaptive filtering, recursive least squares (RLS) algorithm converges fast, and dispersion of autocorrelation matrix eigenvalue insensitive, but its large amount of calculation)

m- file with median filter in Matlab. Two solve in one script.

贝叶斯公式在临床中的应用是利用贝叶斯公式根据验前概率和条件概率来推算验后概率, 进而帮助诊断患者到底患种疾病中的哪一种。具体方法是根据以往积累统计资料, 对种疾病的验前概率人及各种条件概率人进行估算。在诸症状的一种具体组合已经出现的条件下, 按贝叶斯公式计算出各种疾病在这种具体症状组合下发生的概率即验后概率。比较各疾病的验后概率。如果某疾病人的验后概率明显大于其它疾病的验后概率, 便可诊断患者患的哪种疾病。(According to mass statistical results, try to work out the probability of 4 diseases and the class-conditional probability()