scene_text_extraction

IRIS数据 供大家分析参考 此数据可以用于聚类分析(U.S. analysis of IRIS data for the reference of this data can be used to cluster analysis)

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)

implement the Power Al- gorithm for the computation of themaximumeigenvalue of Aj . Write a function Power_Algorithm which takes as input A q (the initial approximation of the eigenvector) and scale (it was given as  in the lectures).

用matlab实现音频处理功能，两个音频文件模和相位互换，比较互换之后的音频文件的效果(using Matlab achieve audio processing functions, two audio files modulus and phase swap Comparing the exchange of audio files after the results)

该算法是针对相干信号源 联合开发网 - pudn.com

说明：  整个ofdm系统仿真的全过程，包括qpsk的调制解调等(The whole process of OFDM system simulation, including QPSK modulation and demodulation)

电力系统脉宽调制波形，经调试改进，绝对正确(power_pwm)

说明：  用MATLAB编程实现OFDM调制，使用了FFT和IFFT方法(Programming with MATLAB realize OFDM modulation, the use of FFT and IFFT methods)

两个数值实验的matlab编程实现。题目分别1是利用循环语句，计算数列根号5 ，根号下根号5 ，根号下根号下根号5…的极限，要求误差小于 10负8次方。 2利用级数pi=1-1/3+1/5-1/7+...可计算出无理数pi的近似值(Two numerical experiments matlab programming. Title 1 is the use of loop were calculated series roots and 5, roots and root number under 5, roots and root, root number under number 5 ... the limits of error of less than 10 required a negative 8th power. 2 using series pi = 1-1/3+1/5-1/7+ ... calculate the approximate irrational number pi)

多用户检测的MATLAB实现 希望对大家学习有帮助(duoyonghujiance)