jpegcompression

机动目标的跟踪问题一直是人们研究的重点，实现机动目标精确跟踪，首要解决的问题就是使所建立的目标运动模型与实际的目标运动模型匹配。目前常用的有多模型(MM)，交互式多模型(IMM)，切换模型等。多模型方法就是对一组具有不同机动模型分别进行Kalman滤波，最终的参数估计是各滤波器估计值的加权和；在多模型基础上，Shalom提出了交互式多模型方法，这一方法对无序目标的机动检测，显示了更好的鲁棒性和跟踪的稳定性；切换模型则是分别建立机动和非机动运动模型，利用机动检测实现在这两个模型之间的切换。一般来说，交互式多模型的跟踪性能较好。(mobile target tracking problem has been a focus of research and achieve precise maneuvering target tracking, the most pressing issue is to enable the establishment of the target model and the actual movement of the target model matching. At present, more commonly used model (MM), interactive multi-model (IMM), switching model. Multi-model approach is a group of different mobile models were Kalman filtering, The final parameter is the estimated value of the filter is estimated weighted; in the multi-model basis, Shalom made the interactive multi-model approach that the objectives of the motor disorder detection, better show the robustness and stability of the track; switching model is set up motorized and non-motorized sports model, the use of mobile testing to achieve in this model between)

该代码主要用于求最短路问题，开发环境为Matlab(The code is mainly used for the shortest path problem, the development environment for Matlab)

给出了GPU的最新快照，详细描述了当今最新的GPU的内部架构，以及如何利用GPU的编程技巧。另外额外探讨了如何利用GPU的计算能力完成其他计算任务（CUDA）。(This third volume of the best-selling GPU Gems series provides a snapshot of today s latest Graphics Processing Unit (GPU) programming techniques. The programmability of modern GPUs allows developers to not only distinguish themselves from one another but also to use this awesome processing power for non-graphics applications, such as physics simulation, financial analysis, and even virus detection—particularly with the CUDA architecture. Graphics remains the leading application for GPUs, and readers will find that the latest algorithms create ultra-realistic characters, better lighting, and post-rendering compositing effects. )

用matlab实现的BP神经网络，比较基础，对已有的语音信号进行分类，留了500个作为检验(Using matlab to achieve the BP neural network basis of comparison, the existing classification of the speech signal, leaving a 500 as a test)

M/M/1 模型,主要用来求解单对单服务台的模型，过程比较简介，适合任何分布(M/M/1 model, mainly used to solve the one-on-one help desk model, the process is relatively brief, suitable for any distribution)

说明：  一种加核的PCA算法，比PCA算法识别率高很多，所加的核可以用于其他算法。(An increase in the PCA algorithm for nuclear than the PCA algorithm is much higher recognition rate, the increase of other algorithms can be used for nuclear.)

MLp calssifier that can classes diffrence type of class

this function is used for fitting data. This function is used with another function called funct_for_curve_fitting.m and data_for_fitting.txt

preconditioned conjugate gradient

说明：  主要是生成集合[n]的所有k-子集MATLAB代码(Generating set [n] of all k-subset of MATLAB code)