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一种基于小波变换的图像编码算法采用整数平方阈值下的零树编码(Wavelet-based image coding algorithm uses integer square threshold of zero-tree coding)

这是一个可以证明lms自适应算法如何实现的程序源码，通过此程序可以很好的理解算法的原理及其具体实现(This is a short program that demonstrates how LMS adapatation works. This particular implementation is useful for someone trying to first understand the algorithm and how it works. )

这个是matlab分类工具箱，有大概三十多个matlab原程序，很适合大家下载使用(this classification is Matlab toolbox, probably more than 30 Matlab program, We are very suitable for downloading)

计算重力布格异常，并反演莫霍面起伏，主要采用Parker密度法反演(a matlab version for calculating the Bouguer anomaly and do the inversin work)

对测井数据进行绘图显示计算相关的一些参数，比如孔隙度，渗透率，可动油含量等(The logging data are drawing related to calculate some parameters, such as porosity, permeability, movable oil content, etc)

光流法有很多种,这是一种最原始的光流法,需要更新可在其基础上进行改进(optical flow)

A cyclic redundancy check (CRC) is an error-detecting code commonly used in digital networks and storage devices to detect accidental changes to raw data.

本文采用小波神经网络进行交通流量预测，短时交通流量存在随机性和非线性因素，影响预测的准确性。传统预测模型难以反映交通流量变化特点，同时传统神经网络易陷入局部极小值，泛化能力差，交通流量预测精度低。为了提高短时交通流量预测精度，提出一种小波神经网络的短时交通流量预测模型。小波神经网络可以对短时交通流量随机性、不确定性进行局部分析，并进行非线性预测，验证了模型的有效性，进行了对比试验。验证结果表明，小波神经网络提高了短时交通流量预精度，预测结果更具应用价值。(In this paper, wavelet neural network is used to forecast traffic flow. There are random and nonlinear factors in short-term traffic flow, affecting the accuracy of prediction. The traditional prediction model is difficult to reflect the characteristics of traffic flow changes. At the same time, the traditional neural network is easy to fall into the local minimum, the generalization ability is poor, and the prediction accuracy of traffic flow is low. In order to improve the accuracy of short-term traffic flow forecasting, a short-term traffic flow prediction model based on wavelet neural network is proposed. The wavelet neural network can analyze the randomness and uncertainty of short-term traffic flow and perform nonlinear prediction. The validity of the model is verified and a comparative experiment is conducted. The verification results show that the wavelet neural network improves the short-term traffic flow pre-precision, and the prediction result has more application value.)

matlab code of dgital communication

simulink中自己搭建的永磁同步电机模型，在相同参数下与系统自带的模型仿真对比，其输出波形完全一致，说明搭建的模型正确(Simulink u4E2D u81EA u5DF1 u642D u5ED u5ED u7EF0 u7EF0 u7R0 U81EA u5E26 u7A1 u6A1 u5782 u5R2 u5B09 u5B09 u0B09 U6A21 u578B u6B63 u786E)