pharray

可以实现向量场的绘制，简单导入即可实现结果(vector field)

modem编程的一些例子源码modem编程的一些例子源码(Some examples of modem programming modem-source programming some examples of source)

Least /mean Square (LMS) algorithm for adaptive filtering using matlab with examples

matlab 处理数理统计，跟浙江大学数理统计同步(matlab processing, mathematical statistics, mathematical statistics with the synchronization of Zhejiang University)

有限反馈下的误码率计算,通过simulink实现(limited feedback of error rate, achieving Simulink)

image proccesing improved by using spatial filtering

用来进行小波分析中寻找极大值线且用极大值来进行信号的重建(It can help you find the wave maxline and it can use maxnumber reconstructure the sign)

关于LTE的文章，希望大家喜欢。 Belief-propagation-based joint channel estimation and decoding for spectrally efficient communication over unknown sparse channels(Belief-propagation-based joint channel estimation and decoding for spectrally efficient communication over unknown sparse channels)

BP（Back Propagation）网络是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。 BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。 它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。 通过对信息的提取以及记忆，用作分类、聚类、预测等。 (BP (Back Propagation) network is a pre-press error back propagation algorithm Multilayer feedforward network, is one of the most widely used neural network model. BP network can learn and store a large amount of input- output mode mapping without prior reveal mathematical equations that describe the mapping relationship. It s learning rule is to use the steepest descent method, by reverse spread to constantly adjust the network weights and thresholds and the minimum sum of squared error of the network. BP neural network topology comprises an input layer (input), hidden layer (hide layer) and an output layer (output layer). By extracting information and memory, it is used as classification, clustering, prediction.)

50HZ陷波器的介绍与作用，原理及简单的设计实验，与测试方法(50HZ introduction and notch filter functions, principles and simple design experiments, and test methods)