zishiying

LADT ECG Compression Algorithm 1

说明：  利用小波变换做图像压缩，大家相互探讨~相互学习(Do image compression using wavelet transform)

本目录主要包括：文档和两个源代码。 其中一个源代码是识别程序的，另一个是一个矩阵类库的，书里面也使用过，所以一并附上。 因为已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行\Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。 当然读者也可以自行用训练样本训练网络，不过要特别注意训练样本的选择，否则可能造成识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下，训练样本数目尽量多。 (This directory includes: documentation and two source code. One of the source code is to identify the procedure, the other is a matrix class library, the book which is also used, so be attached. Have been saved because of the trained network weights, so the first use of identification procedures, he can run Release directory Under the executable file, then the test image directory read pictures, identification. Of course, readers are free to use the training samples to train the network, but pay special attention to training samples, otherwise it may result in knowledge Do not rate very low. Training sample selection principle is that as far as possible, representative, in the long training time Buzhi Yu s case, the training Training sample size as much as possible.)

matlab基于KF和EKF的工具箱描述(Optimal fi ltering with Kalman fi lters and smoothers – a Manual for Matlab toolbox EKF/UKF)

说明：  基于matlab实现对OFDM的仿真，包括信道turbo编解码，以及QAM调制(OFDM simulation based on MATLAB, including channel turbo coding and decoding, and QAM modulation)

这是用matlab写的dct代码用于图像的信息的隐藏和提取。。部分老师写的哦。(This is used to write the DCT matlab code for the image and extract the hidden information. . Oh part of the Writing Teacher.)

蒙特卡罗算法方法的课件，自己看了感觉还行，请一起分享(Monte Carlo algorithm method courseware, their own feel good read, please share)

By using these matlab codes a simple BPSK modulation can be implemented. The format used is Polar NRZ

图象处理：计算连通域的面积、周长、圆形度、矩形度以及长宽比(Image processing: computing connected domain area, perimeter, roundness, and aspect ratio rectangular degree)

研究表明超高斯分布更加贴近语音信号的实际分布，然而语音信号很难用单一的概率密度 函数准确描述，针对这一情况，提出了一种用超高斯混合模型对语音信号幅度谱建模的新方法，并推导了 基于此模型的幅度谱最小均方误差估的估计式。仿真结果表明：与传统的短时谱估计算法相比，该算法不 仅能够进一步提高增强语音的信噪比，而且可以有效减小增强语音的失真度，提高增强语音的主观感知 质量。 (Recent research indicates that the speech spectral amplitude distributions could be fairly described with super-Gaussian probability density function. However, the complexity of speech signal determines that the distribution statistics ofspeech signal could not be well described by single simple function. Thus a super-Gaussian mixture model for speech spectral amplitude is proposed, and with this model, a minimum mean-square error (MMSE) estimator for speech signals spectral amplitude is derived. The simulation results show that this algorithm based on Gaussian and super-Gaussian speech model could achieve better noise suppression and lower speech distortion as compared with the conventional short-time spectral amplitude estimation algorithm. )