l1magic

说明：  MATLAB中实现GMM算法的原始代码，实现图像分割(GMM algorithm implemented in MATLAB source code for image segmentation)

matlab应用实例,便于对比学习MATLAB的应用以及编程语言的学习。使用中也可以在此基础上进行二次编写，节约时间成本。(the example of the use of matlab)

用基于内点法的截断牛顿法来求出lasso问题(The truncated Newton method based on interior point method is used to solve the lasso problem)

在科研中，大量时间花在统计年鉴的搜集上，例如找《中国城市统计年鉴》中2000多个市，要对分散的八个城市群找对应的数据，如果每次筛选会花费大量时间，如果做好excel表头，把对应的城市写上去会在多个文件多个工作组查找满足要求的数据，直接按需要保存成excel，进行后续分析。(In the research, the amount of time spent on the Statistical Yearbook of the collection, for example, to find " China City Statistical Yearbook" in more than 2000 cities and want to find a group of eight cities scattered corresponding data, if each screening will spend a lot of time, If you do excel header, the corresponding write up the city will look to meet the requirements of data in multiple files multiple workgroups, saved directly as needed to excel, for subsequent analysis.)

利用Matlab软件的GUI界面编程，通过此界面调用相关的程序去实现由抽样判决后的AMI码型、CMI码型和HDB3码型数字序列恢复出原始的PCM脉冲编码信号。(GUI interface using Matlab software programming, make a simple interface, this interface by calling the relevant procedures to implement the decision by sampling pattern after AMI, CMI HDB3 code pattern and sequence of digital pulses to recover the original PCM encoded signal.)

雷达数据处理对于观测的目标位置数据（称为点迹）进行滤波处理，自动形成航迹，并且可以对下一个目标的位置进行估计预测。利用最小二乘算法（LMS）进行滤波处理，得到了比较稳定的航迹估计。 最小二乘方法是参数估计中一种较为常见的参数估计方法。对于雷达观测数据，在我们假定已经精确知道航迹的运动学模型之后，通过建立观测方程，即可以对于模型的参数，如初速度，初始位置和加速度等进行最小均方误差估计。采用序贯最小二乘的方法可以对观测数据进行实时处理，已对待估计参数进行实时更新，然后利用观测模型可以对 数据进行滤波计算。(Radar data processing for target position data observed (known as trace points) filter processing, automatic track, and can be estimated to predict the position of the next target. Using the least squares algorithm (LMS) filtering process, have been relatively stable track estimates. Least-squares parameter estimation method is a more common parameter estimation method. For radar data, we assume that the kinematic model has been accurately track after, through the establishment of observation equations, which can be the parameters of the model, as ever speed, acceleration, etc. initial position and minimum mean square error estimation. Sequential least squares method using the observed data can be processed in real time, has been to treat the estimated parameters are updated in real time, and then use observational data can be filtered model calculations.)

现代通信系统 一书的全部matlab源码(Modern communication systems all the source code of a book)

AUTOSAROS规范研究及其在uC/OS中实现,说明了汽车软件规范AUTOSAROS(AUTOSAROS normative research and its implementation in uC/OS, the description of the car software specifications AUTOSAROS)

通过改变想要处理的帧，和预测器阶数，对原始语音帧和预测语音帧作一个比较，并作出短时谱和lpc谱，最后作倒谱比较。(By changing the processing of the desired frame, and the predictor order, the original speech frame and the predicted speech frame to make a comparison and to make short-term spectrum and the lpc spectrum, cepstrum last for comparison.)

一种基于小波变换的灰度数字水印嵌入算法,使用matlab实现，含有原始论文。不过不是很理想，希望大家改进(Gray-scale based on wavelet transform digital watermark embedding algorithm, using matlab implementation, containing the original papers. But not very good, hope that we improve the)