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sigmoid函数及其导函数的介绍推导和应用等等(sigmoid text)

am and ssb modulation with matlab codes

Matlab 下很方便的map 插件，简单实用。(Matlab is very easy to map the next plug-in, simple and practical.)

进行数据的预处理，标准化和白化，便于数据的后续分析(Data preprocessing, standardization and whitening, facilitate the subsequent analysis of data)

this is code for matlab for modulation

说明：  修改后的SPIHT代码，比有链表SPIHT压缩速度快。(Modified SPIHT code, than to have the list SPIHT compression speed.)

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.)

属性分类的粒子群算法Particle swarm optimization (pso) algorithm to the classification of the attribute(Particle swarm optimization (pso) algorithm to the classification of the attribute)

本文在确定了水声信道的数学描述后,提出了在信道自适应过程中,可以应用 子波对信号进行多分辨率分解,逐尺度地对信道进行均衡. 这样,不但减少了运算数 据量,也减少了均衡所需的权系数个数.(equalizer)

说明：  matlab FIR 滤波器 matlab设计FIR带阻滤波器(matlab FIR filter FIR band-stop filter design matlab)