dpcm

HHT MATLAB CODE HHT是一個客觀而有自適性(adaptive)的數據分析方法。它利用物理空間的尺度為基準分解複雜數據，因此各分量皆有豐富的物理意義。由於它有自適的特性，它可以適用於分析非線性，非穩定性過程所產生的數據。經過近數年來的廣泛研究與應用，HHT已被認定為是一個有革命性又有效的方法。(HHT MATLAB CODE)

说明：  关于码matlab的介绍，对于初学者来说能够很快了解matlab。(On the introduction of matlab code, for beginners to quickly understand the matlab.)

说明：  实现伪彩色增强，包括两种不同的算法。一种是线性变化传递函数，一种是非线性变化传递函数。(Achieve pseudo-color enhancement, including the two different algorithms. One is the linear transfer function, a nonlinear transfer function changes.)

matlab code for Residential Grid connected PV system with MPPT

定位技术是无线传感器网络中关键的基础支撑技术, 目前提出了许多静态网络的节点定位算 法, 移动无线传感器网络的定位研究相对较少. 针对定位节点和参考节点随机运动的网络模型, 提出了 一个基于动态网格划分的蒙特卡罗定位算法. 算法中当接收的参考节点数超过一定阈值时使用最远距 离节点选择模型, 选出部分参考节点参与定位和信息转发, 节约能耗. 接着基于选择的或所有接收的参 考节点构建采样区域, 进行网格划分, 使用网格单元数计算最大采样次数, 在采样区域内采样并使用误 差补偿的运动模型进行过滤, 提高了采样效率, 减少了计算开销, 并保证了较好的定位精度. 仿真实验表 明算法在定位精度, 计算开销、能耗等方面都具有较好的性能.(Positioning technology is critical in wireless sensor networks based supporting technologies, currently made many static network node localization algorithms, the positioning of mobile wireless sensor network research is relatively small. Locate node and a reference node for random motion network model, proposed a Dynamic meshing based Monte Carlo localization algorithm. algorithm when the received reference nodes exceeds a certain threshold, the most distant node selection model selects some reference nodes involved locating and forwarding information, save energy. then based on the selection or building all received reference node sampling area, meshing, the number of grid cells used to calculate the maximum sampling frequency, the sampling area sampling and using motion model error compensation filter to improve sampling efficiency, reducing the computational overhead and to ensure a better positioning accuracy. Simulation experiments show that the algorithm in positioning accuracy,)

自己用matlab-GUI所设计的一个日历。(Using Matlab GUI design a simple calendar)

最大似然估计法，TDOA测距时有锚节点，传感器节点的自定位(Maximum likelihood estimate for localization)

This paper is based on artificial neural network. artifivial neural network is a patter recognition mechanism that resembles the human brain. It have input layers, hidden layers and output layers. ANN provides beter recognition accuracy than other classifiers.

《自适应滤波器》教材第四章代码，很全面，对应(" Adaptive Filter" textbook Chapter IV code, very comprehensive, correspondence)

基于FFT变换、DCT变换、HT变换、小波变换和矢量量化技术的图像压缩的Matlab实现。(Based on the FFT transform, DCT transform, HT transform, wavelet transform and vector quantization image compression technology, the Matlab implementation.)