twice_nihe

说明：  matlab下的24口交换机模型,交换机仿真。(A 24-port switch model under Matlab.)

对HARQ系统的吞吐量分析，模式识别中的bayes判别分析算法，粒子图像分割及匹配均为自行编制的子例程，给出接收信号眼图及系统仿真误码率，BP神经网络用于函数拟合与模式识别，用于信号特征提取、信号消噪，合成孔径雷达（SAR)目标成像仿真，有CDF三角函数曲线/三维曲线图。( HARQ throughput analysis of the system, Pattern Recognition bayes discriminant analysis algorithm, Particle image segmentation and matching subroutines themselves are prepared, The received signal is given eye and BER simulation systems, BP neural network function fitting and pattern recognition, For feature extraction, signal de-noising, Synthetic Aperture Radar (SAR) imaging simulation target, There CDF trigonometric curve/3D graphs.)

贝叶斯分类器 基于背景差分的运动目标检测 基于小波变换的图像压缩 基于BP的模型优化预测 基于RLS算法的数据预测 等等(Bias classifier is based on background difference moving object detection, wavelet based image compression, BP based model optimization prediction, RLS based algorithm for data prediction, and so on)

说明：  一篇基于matlab，解决的CVRP问题的论文。关键词包含路径规划等。(A paper based on MATLAB to solve the CVRP problem. Key words include path planning, etc.)

matlab定点仿真资料，介绍如何用matlab进行定点仿真，便于下一步的硬件仿真(Matlab fixed-point simulation data)

原版英文，频谱分析的经典专业著作，Petre Stoica 和 Randolph Moses的专著。对信号处理方面来说非常值得看。(Petre Stoica and Randolph Moses Spectral Analysis of Signals)

用EWMA（garch（1，1））模型进行计算，rolling window的形式(use the method of rolling window size equals to 250, adopt EWMA model which also calls Garch(1,1) to calculate the Value at Risk)

本源码用于LDPC的编码算法。运用LDPC编码的基本原理，基于Matlab仿真实现。(The source code for LDPC coding algorithm. The use of LDPC coding the basic principles, based on the Matlab simulation.)

感知器感知器算法训练二元线性分类器。结构体数据使用感知器学习规则 找到给定的二分类标签数据超平面。 (PERCEPTRON Perceptron algorithm to train binary linear classifier. Synopsis: model = perceptron(data) model = perceptron(data,options) model = perceptron(data,options,init_model) Description: model = perceptron(data) uses the Perceptron learning rule to find separating hyperplane from given binary labeled data. model = perceptron(data,options) specifies stopping condition of the algorithm in structure options: .tmax [1x1]... maximal number of iterations. If tmax==-1 then it only returns index (model.last_update) of data vector which should be used by the algorithm for updating the linear rule in the next iteration. model = perceptron(data,options,init_model) specifies initial model which must contain: .W [dim x 1] ... normal vector. .b [1x1] ... bias of hyperplane. .t [1x1] (optional) ... iteration number. Input: data [struct] Labeled (binary) training data. .X [dim x num)

基于MATLAB的程序，用小波变换对语音信号进行去噪(MATLAB-based program, with wavelet transform to speech signal denoising)