Bilateral-Filtering

是支持向量机工具箱（matlab），可用于模式分类，模式识别等。(support vector machines Toolbox (Matlab), can be used for pattern classification, pattern recognition.)

基于自组织型神经网络SOM的分类，自动选取不同神经元的个数。(Based on self-organizing neural network SOM classification, automatically selects the number of different neurons.)

fibonacci search method optimization methods and algortihms

How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments. (How the K-mean Cluster workStep 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (Nk) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3. Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4. Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.)

传统均衡器无法有效地同时对抗这两种信道衰落，而Turbo均衡技术作为一种联合信道均衡和信道译码的方法，能有效地对抗符号间干扰（ISI），提供迭代增益，提高接收机的整体性能。因此，本文根据下一代无线通信系统的设计要求，分别对单载波和OFDM系统的Turbo均衡算法进行了研究。 (Conventional equalizer can not effectively fight both at the same time fading, while the Turbo equalization as a joint channel equalization and channel decoding method is robust against inter-symbol interference (ISI), provides iteration gain, improved receiver overall performance. Therefore, this next-generation wireless communication system according to the design requirements, namely, the single carrier and OFDM systems Turbo equalization algorithm is studied.)

1996年数学建模国赛matlab源程序，编写完整，解释详尽(Mathematical modeling of the country in 1996 race matlab source, write a complete, detailed explanation)

The objective of this paper is to provide a road map to understanding and use of real-time design patterns. To meet this objective, we provide a brief overview of the origins of design patterns, then discuss a wide variety of specific real-time design patterns, and finally provide our own classification of patterns, which is derived from a systematic approach to real-time system design and real -time software architectures.

惯性卫星组合导航 输入惯导，gps数据输出导航结果(INS/GPS integrated navigation)

地震SV波的源代码，得出反射系数，透射系数，转换波的反射系数，透射系数等(SV wave seismic source code, come the reflection coefficient, transmission coefficient, reflection coefficient, transmission coefficient converted waves, etc.)

用来处理气象上NCEP资料grib2的matlab处理程序(Matlab Processing Program for Processing NCEP Data grib2 in Meteorology)