An-Introduction-Kalman-Filter

this file contain matlab code soure to convert image to text to speach using neuranal network

ESPRIT是“Estimating signal parameters viarotational invariance techniques”的缩写，含义是“借助旋转不变技术估计信号参数”，它是由Roy[221等人于1986年提出的另一种基于子空间的DOA估计方法。 应用领域 　　侧向定位 信号处理 思想 　　ESPRIT的思想在于，将传感器阵列分解为两个完全相同的子阵列，两个子阵中每两个相对应的阵元具有相同的平移，即要求阵列具有平移不变性，每两个位移相同的阵元匹配成对。所幸的是实际中许多阵列满足这个条件，比如等距直线阵。(ESPRIT is "Estimating signal parameters viarotational invariance techniques" acronym, meaning "With ESPRIT estimation of signal parameters", it is by Roy [221, who in 1986 proposed DOA estimation method based on subspace another. Applications Lateral positioning signal processing Thinking ESPRIT thinking that the sensor array is divided into two identical sub-arrays, each of the two sub-arrays of two corresponding array element has the same translation, which requires an array with translation invariance, the displacement of each of the two identical arrays yuan matching pairs. Fortunately, many of the actual array satisfy this condition, such as equidistant linear array.)

提取Gabor特征，LBP特征，LGBP特征代码(extract Gabor feature,LBP feature and LGBP feature.)

说明：  实现HHT变换过程中一个重要过程--经验模态变换(HHT transform EMD empirical mode decompoeition)

Jacobi迭 代 法, 用于方程求根 matlab(Jacobi Iterative)

滑模变结构控制二级倒立摆的控制程序，自动控制领域常见问题(Sliding Mode Variable Structure Control of two inverted pendulum control procedures, automatic control field Frequently Asked Questions)

可以对振动试验数据进行批量处理，如滤波、消除趋势项、积分等(Vibration test data can be batch processing, such as filtering, to eliminate the trend items, points, etc.)

This matlab code is about RBF Network

盲信号处理牛人cardoso，关于盲信号处理代数方法的程序-联合对角化算法。研究盲信号处理的人必读程序。(blind signal processing cattle were cardoso. on the blind signal processing methods of algebraic-joint diagonalization algorithm. Blind Study of the signal processing procedures mandatory.)

The purpose of this paper is to provide a practical introduction to the discrete Kalman filter. This introduction includes a description and some discussion of the basic discrete Kalman filter, a derivation, description and some discussion of the extended Kalman filter, and a relatively simple (tangible) example with real numbers & results.(The purpose of this paper is to provide a pra ctical introduction to the discrete Kalman fil ter. This introduction includes a description and some discussion of the basic discrete Kalma n filter, a derivation. description and some discussion of the extende d Kalman filter. and a relatively simple (tangible) example wit h real numbers)