abhpitch

matlab的rbf神经网络文件，可用于股市预测，能够生成误差图，预测图(the rbf neural network matlab files, can be used for stock market prediction, to generate error maps, prediction chart)

Halftones an input gray level image using using Fixed Thresholding, Random Noise Thresholding, Ordered Dithering, Floyd and Steinburg and Stucki Methods.

无线传感器能量高效路由算法－LEACH算法(Energy efficient routing algorithm for wireless sensor-LEACH algorithm)

求图形图像梯度的程序，方便简洁，轻松解决，效率高(make it)

这是Harris角点算法的一个非常好的参考代码，使用的是Matlab语言，实现了非最大抑制功能。(The code calculates the Harris Feature Points. )

这里面有MATLAB常用的一些算法，用于计算数值计算，文件格式为.m(There MATLAB commonly used in some algorithms used to calculate the numerical calculation for the file format. M)

由于遗传算法较以往传统的搜索算法具有使用方便、鲁棒性强、便于并行处理等特点，因而广泛应用于组合优化、结构设计、人工智能等领域。(Than in the past due to genetic algorithms traditional search algorithms with easy to use, robustness, ease of parallel processing, etc., which are widely used in combinatorial optimization, structural design, artificial intelligence and other fields.)

给定观测序列 O=O1O2O3…Ot和模型参数λ=(A,B,π)，怎样有效计算某一观测序列的概率，进而可对该HMM做出相关评估。例如，已有一些模型参数各异的HMM，给定观测序列O=O1O2O3…Ot，我们想知道哪个HMM模型最可能生成该观测序列。通常我们利用forward算法分别计算每个HMM产生给定观测序列O的概率，然后从中选出最优的HMM模型。(Given the observation sequence O = O1O2O3 ... Ot and model parameters λ = (A, B, π), how to effectively calculate the probability that a single observation sequence, and thus can make the relevant assessment of the HMM. For example, there are a number of different model parameters HMM, given the observation sequence O = O1O2O3 ... Ot, we want to know which model is most likely to generate the HMM observation sequence. Usually we use forward algorithm calculates the probability of a given observation sequence O generated for each HMM, HMM and then to choose the best model.)

叠前地震数据动校正和叠加的matlab模块，对于学习地震勘探的人十分有效(code for seismic NMO and Seismic stack)

一个MATLAB工具箱，可以进行快速而可靠的听觉阈值的计算！目前很少有类似的方法。(A MATLAB toolbox for rapid and reliable auditory threshold estimation)