Filter_Bank_Design

这是张德丰《MATLAB概率与数理统计分析》随书源码(M文件)。代码包括的内容有：概率分布计算及统计特征、数字特征计算、统计图绘制(盒状图、散度图等)、点估计和区间估计、假设检验、方差分析、曲线拟合、回归分析、因素分析、聚类分析、正交实验设计分析、多元方差分析、判别分析、隐马尔可夫模型建模与参数估计和在语音识别中的应用。(This is Zhang Defeng " MATLAB Analysis of probability and mathematical statistics," with the book source (M file). The contents of the code include: calculation of the probability distribution and statistical characteristics, digital feature calculation, statistical mapping (box-shaped graph, scatter graph, etc.), point and interval estimation, hypothesis testing, analysis of variance, curve fitting, regression analysis, factor analysis, cluster analysis, orthogonal experimental design, multivariate analysis of variance, discriminant analysis, hidden Markov modeling and parameter estimation and application in speech recognition.)

novel based approach for object segmentation

test2: 一、 基本最小二乘法一次算法 二、 基本最小二乘法递推算法 三、 最小二乘遗忘因子一次完成算法 四、 最小二乘遗忘因子递推算法 五、 最小二乘限定记忆算法 六、 最小二乘偏差补偿算法 七、 增广最小二乘算法 八、 广义最小二乘算法 test3: 一、 辅助变量自适应滤波算法 二、 辅助变量纯滞后算法 三、 辅助变量Tally原理算法 四、 多级最小二乘算法 五、 各类改进最小二乘算法的特点 test4: 1、 第二类随机性辨识问题的梯度校正 2、 随机牛顿法 test5: 1、 递推的极大似然估计 2、 预报误差参数辨识 test6: 1、 根据Hankel矩阵秩估计模型阶次(弱噪声) 2、 根据Hankel矩阵秩估计模型阶次(强噪声) 3、 利用行列式比估计模型阶次（白噪声） 4、 利用行列式比估计模型阶次（有色噪声） 5、 利用残差的方差估计模型阶次（白噪声） 6、 利用残差的方差估计模型阶次（有色噪声） 7、 AIV定阶法（白噪声） 8、 AIV定阶法（有色噪声） test7: 1、 一阶惯性+纯滞后环节-----两点法 2、 面积法1 3、 levy法 (test2: First, the basic method of least squares algorithm once Second, the basic recursive least squares algorithm Third, once the forgetting factor least squares algorithm Fourth, the forgetting factor recursive least squares algorithm Fifth, the least-squares algorithm limited memory Six , least squares error compensation algorithm Seven , extended least squares algorithm Eight , generalized least squares algorithm test3: An auxiliary variable adaptive filtering algorithm Second, the auxiliary variable time delay algorithm Third, the principle of auxiliary variable algorithm Tally Fourth, multi-stage least squares algorithm Fifth, the least squares algorithm to improve the characteristics of various types of test4: 1, the second class of stochastic gradient identification problem corrected 2 , randomized Newton test5: 1, the recursive maximum likelihood estimation 2, the prediction error parameter identification test6: 1 , according to the Hankel matrix rank est)

Matlab工具包，包含了支持向量机和核函数的工具包，可直接调用(Matlab toolkit, including support vector machine SVM and kernel function tool kit, can be called directly )

DTW+VQ实现的语音识别 UIUC提供，包含样本 只需将.txt改成.m(DTW+ VQ implementation of speech recognition . provide by UIUC, including samples simply. Txt into. M)

说明：  小波包工具箱，用于进行信号处理，分解噪音(wavelet toolbox)

粒子群算法及其改进，在原有粒子群算法基础上进行改进，增加免疫算法，使其尽快跳出早熟，收敛更快，结果更优！(Particle swarm optimization (PSO) and its improvement are improved on the basis of the existing particle swarm algorithm, and the immune algorithm is added to make it jump out of premature, faster convergence and better results)

The induction motor is fed by a current-controlled PWM inverter which is built using a Universal Bridge block. The motor drives a mechanical load characterized by inertia J, friction coeficient B, and load torque TL . The speed control loop uses a proportional-integral controller to produce the quadrature-axis current reference iq* which controls the motor torque. The motor flux is controlled by the direct-axis current reference id*. Block DQ-ABC is used to convert id* and iq* into current references ia*, ib*, and ic* for the current regulator. Current and Voltage Measurement blocks provide signals for visualization purpose. Motor current, speed, and torque signals are available at the output of the Asynchronous Machine block.

matlib.h,matcom4.5的头文件(matlib.h, matcom4.5 header file)

matlab address matlab工具箱下载地址总汇(Download matlab addressmatlab summary Toolbox)