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JPEG连续色调静止图像无损压缩的最新标准JPEG LS的C语言实现，还带有一个很友好的图形用户界面，那些学习图像编码的工程师可以参考一下这个实现的源代码。(JPEG continuous tone still images of the latest standard lossless compression JPEG LS realize the C language, but also with a very friendly graphical user interface, those who study and image coding engineers can refer to this realization of the source code.)

用Hausdorff距离对两角点集进行配准，得到点集间的仿射变换，从而实现图像的自动配准。此算法以角点作为Hausdorff距离的配准特征，与直接选用边缘来配准的方法相比较，大大减小计算量。(Hausdorff distance on the corners with a point set registration, be affine transformation between sets in order to achieve automatic image registration. This algorithm is based corner as the Hausdorff distance matching characteristics, and use Edge to direct registration method of comparison, greatly reduced computation.)

压缩感知的几种算法的检测概率的对比，M-OMP，MP，OMP(Several compressed sensing algorithm comparison of detection probability, M-OMP, MP, OMP)

输入信号为方波信号+高斯白噪声，方波信号基 频为1kHz，幅值为1，高斯白噪声方差为0.2， 均值为0，采样频率为20kHz。试用周期图法和 ARMA谱估计法(SVD-TLS)估计此信号的功率 谱，并分析比较其结果(The input signal is a square wave signal+ Gaussian white noise, square wave signal fundamental frequency 1kHz, amplitude is a Gaussian white noise variance is 0.2, the mean is 0, the sampling frequency is 20kHz. Try periodogram and ARMA spectral estimation method (SVD-TLS) estimate the power spectrum of this signal, and the analysis and comparison of the results)

短时交通流预测是实现交通流诱导的关键技术之一。短时交通流因为其不确定性等特点而使其预测很复杂。本文通过实地调查获取的交通流量数据，分别采用移动平均法、指数平滑法、AR模型法三种交通流预测方法进行短时交通流量预测。(Traffic flow forecasting is one of the key technologies to achieve traffic induced. Traffic flow because the characteristics of its uncertainty and make it very complicated to predict. Traffic data presented herein obtained through field surveys were used moving average, exponential smoothing, AR model method in three short-term traffic flow forecasting method to predict traffic flow.)

系统介绍了simulink的应用，适合初学者使用(introduced the application of simulink)

the file is for light

此程序实现matlab中对一声音信号进行小波降噪处理。(This program is to achieve the matlab wavelet noise reduction processing a sound signal.)

说明：  输入各模态参数，即可获得铣削稳定性叶瓣图（SLD）(By inputting the modal parameters, andthe milling stability lobe diagram can be obtained.)

ldatrace performs Linear Discriminant Analysis with optional constraints on the transform matrix