ica_f2

特征提取提取了图像中各个标记区域的纹理特征及形状特征(Feature extraction to extract texture features and shape features of each labeled region in the image )

计算电磁学，本程序用于电场积分方程求解圆柱散射。(Electric field integral equation (EFIE) for 2-D cylinder scattering. )

说明：  无味卡尔曼滤波程序，UKF为滤波函数，另有模拟里程计采样函数与模拟激光观测函数(Unscented Kalman filtering process, UKF for the filter function, and another simulation of the sampling function with the analog odometer laser observation function)

关于RLS算法的英文文章，写的不错，欢迎下载交流(English articles on RLS algorithm, written in good, welcome to download exchange)

实现OFDM信号调制解调全过程，里面加循环前缀去相关(OFDM signal modulation and demodulation of the entire process, which add cyclic prefix decorrelation)

A PWM Modulation Method for Five-leg Inverter

Infinite impulse response (IIR) is a property of signal processing systems. Systems with this property are known as IIR systems or, when dealing with filter systems, as IIR filters. IIR systems have an impulse response function that is non-zero over an infinite length of time. This is in contrast to finite impulse response (FIR) filters, which have fixed-duration impulse responses. The simplest analog IIR filter is an RC filter made up of a single resistor (R) feeding into a node shared with a single capacitor (C). This filter has an exponential impulse response characterized by an RC time constant.

　Kmeans 算法是聚类分析中使用最为广泛的算法之一，其每个类别均用该类中所有数据的平均值(或加权平均)来表示，这个平均值即被称作聚类中心。该方法虽然不能用于 类别属性的数据，但对于数值属性的数据，它能很好地体现聚类在几何和统计学上的意义。(Kmeans algorithm is the most widely used cluster analysis algorithm, each category with the average of all data in the class (or weighted average) to represent the average is known as the cluster center. Although this method can not be used The class attribute of the data, but data for numeric attributes, it can well reflect the significance of clustering on the geometry and statistics.)

In this experiment you will simulate a symmetric binary communication system in which the probability that a bit is corrupted is p, that is P(receiving 0|1 sent) = P(receiving 1|0 sent) = p. To actually perform this experiment you will have to first develop a random number generator that produces binary random numbers.

掷骰子x，相同的骰子如果大于Y，得分为零，否则为个点数和。多次掷骰子观察概率情况(Dice x, the same dice if greater than Y, score zero points and one otherwise. Probability of observing multiple dice)