BPSK_QPSK_16QAM_64QAM

小波去噪的压缩包，用matlab编程，对去噪有用(Wavelet packet denoising of compression, using matlab programming, useful for the denoising)

自己做的，发动机启动或断开控制模型，可以控制发动机的启停(Do it yourself, engine start or disconnect the control model, you can control the engine start and stop)

WSN 质心定位算法 Centorid Algorithm 加经典参考文献 A: 如果接受节点接收到的包数目与发送节点发送的包数目的比值大于CM_threshold,则这两个节点视为邻居节点 未知节点利用邻居锚节点进行定位，没有邻居锚节点的未知节点无法定位。 B: 如果接受节点接收到的包数目与发送节点发送的包数目的比值大于CM_threshold,则这两个节点视为邻居节点 未知节点一旦被定位就充当起锚节点的功能，向周围邻居发送自己的估计坐标信息 未知节点把已经定位的未知节点与锚节点同等对待 C: 如果接受节点接收到的包数目与发送节点发送的包数目的比值大于CM_threshold,则这两个节点视为邻居节点 有邻居锚节点的未知节点只利用邻居锚节点进行定位，没有邻居锚节点的未知节点才利用已经定位了的邻居未知节点进行定位。(WSN centroid localization algorithm Centorid Algorithm A: If you accept the received packet node number and the number of packets sent by the sending node ratio greater than CM_threshold, then these two nodes as neighbors Unknown node using the neighbor anchor nodes to locate, no neighbors anchor nodes and unknown nodes can not be located. B:   If you accept the received packet node number and the number of packets sent by the sending node ratio greater than CM_threshold, then these two nodes as neighbors Unknown nodes are positioned on as soon as the function of anchor nodes to send their neighbors estimated coordinate information Unknown unknown node to node already positioned anchor nodes treated equally C: If you accept the received packet node number and the number of packets sent by the sending node ratio greater than CM_threshold, then these two nodes as neighbors Of the unknown neighbor anchor node the neighbor nodes are only positioned anchor nodes, )

Analyzing 2-opt for Traveling Salesman problem (TSP)

混沌时间序列分析与预测工具箱 (4)同时求时延与嵌入窗的(delay time & embedding window) CC方法 - C-C MethodMain_CC_Luzhenbo.m ((Chaos time series analysis and forecasting tool box )

说明：  基于压缩感知思想的图像分块压缩与重构方法 考虑到大多数图像信号信息分布有差异, 编码端, 在对图像分块的基础上, 融合熵估计 和边缘检测方法计算各图像块的信息含量, 再从两个不同的角度进行分类采样: 依据信息量多少将图像块分为平滑、过渡和纹理3 类, 使用不同的采样率采样 依据信息量的分布特征, 采用不同的采样率分配策略进行采样. 在解码端, 根据不同类型的图像块构造不同的线性算子进行重构, 再运用改 进的迭代阈值算法去除块效应和噪声. 实验证明, 算法在提升图像重构质量的同时缩短了重构时间,并且对纹理边缘多的图像的重构效果较其他方法理想.(Considering that most information of the image signal difference distribution, the encoding side, in the right image sub-blocks based on the integration entropy estimation And edge detection method for calculating the information content of each image block, and two different angles classification sampling: The number of image blocks based on the amount of information into a smooth, transition and texture three classes, using different sampling rates based on the amount of information distribution characteristics, using different sampling sampling rate allocation strategy. in the decoding side, depending on the type of image blocks to construct different linear operator reconstructed, re-use change Iterative thresholding algorithm into blockiness and noise removal experiments show image reconstruction algorithm to enhance the quality while reducing reconfiguration time, and much of the texture edge image reconstruction results are satisfactory compared to other methods.)

Collection of Sparse Representation Library(Berkeley+Gatech)

这段程序是二阶全通滤波器设计，有幅频响应、相频响应和group delay,供学习者参考(all pass filter of order 2)

实现大点数的IFFT变换，先进行小点数IFFT变化，然后再进行过采样滤波，有频谱图及例子(Achieve great points IFFT transform, first have a small point IFFT change, and then over-sampling filter, a spectrum and examples)

minimization of error using adaboost classifier for a program.