SpeechRec

说明：  MATLAB7中级用户学习资料，300个详细实例(MATLAB7 intermediate users to learn the information, and 300 instances in detail)

说明：  一些有关最优控制理论的控制实例程序集和仿真 (Control instance assembly of the optimal control theory and simulation)

通过二维图抽象的DCT变换，取前n和系数进行重构得到的图像进行显示(Two-dimensional map by abstraction of DCT, take the first coefficient n and displays the image reconstructed by)

OSU_SVM3.00 Classification_OSU_SVM.m - 多类分类(OSU_SVM3.00 Classification_OSU_SVM.m )

说明：  本文利用模糊理论中的高斯隶属 度函数来获得模糊观测下具有概率特性的似然函数，并且由此似然函数得到每个传感器提供信息的可信度；再将各传感器的可 信度转化成基本概率赋值函数即mass 函数；最后利用证据理论对多传感器信息进行融合。对目标识别的仿真试验表明该方法获 得的结果比直接结果具有更高的精度和可靠性。(The method uses fuzzy theory in the Gaussian fuzzy membership function to obtain a probable characteristic under observation likelihood function，and the resulting likelihood function gets the credibility of the information provided by the sensors.Then the reliability of each sensor is changed to a mass function.Finally，multi-sensor information is combined by using evidence theory.Simulation of target recognition shows that the results obtained have higher accuracy and reliability.)

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()

说明：  ICA源程序，主要用于模拟信号的合成与分解。(ICA source, mainly for analog synthesis and decomposition.)

One-Dimensional Discrete Wavelet Transforms (One-Dimensional Discrete Wavelet Transf orms)

matlab三维曲面/网线图指令，用曲面图表现函数。(Using surface figure performance function )

说明：  能通过添加不同程度的白噪声使一组数据扩展成多组数据(It can expand a group of data into multiple groups by adding different levels of white noise)