HH

提出了一种基于角度信息的约束总体最小二乘无源定位算法 该算法首 先将非线性的观测方程转化为线性方程, 并分析了观测噪声对线性(A constrained global least squares passive location algorithm based on angle information is proposed. In this algorithm, the nonlinear observation equation is first transformed into a linear equation, and the linear effect of observation noise is analyzed.)

tsp问题，该算法采用matlab算出了30个坐标的最优化路径，并给出迭代的时间，绘出路径。(tsp problem, the algorithm uses matlab to calculate the coordinates of 30 optimal path, and give Iterative time, mapped the path.)

蚁群算法解决TSP问题，C++编写，可以改进应用于其他方面。(It is very useful for student who study ant algoritym optimization.)

Fingerprint Verification SDK 包涵： 指纹特征提取和识别算法 指纹扫描仪支持模块 编程例子 SDK 文档 (Fingerprint Verification SDK contains: * Fingerprint feature extraction and matching algorithm * Support modules for fingerprint scanners * Programming samples * SDK documentation Programming samples Fingerprint Verification SDK allows developers to use a wide range of programming languages in a development environment of their choice to create applications. The SDK includes programming samples in different languages for guiding the developers of biometric applications: * C++ * C# * Visual Basic .NET * Visual Basic 6 * Sun Java 2 * Delphi 7 )

一个可以识别金钱豹、老虎、长颈鹿、斑马、鸵鸟、企鹅、信天翁等七种动物的简单专家系统(it is a simple expert system that can identify seven kinds of animals such as leopard,tiger,giraffe,zebra,ostrich, penguin and albatross)

脉搏波的多处采集点的波形，可用来进行对比，或是进行血管建模，很适合初学者(The various collection points of pulse wave waveform, can be used to compare, or modeling of blood vessels, it is suitable for beginners)

可以用FFT频谱对脑电信号进行提取。我们可以利用提取出的各个波段脑电信号，来诊断一些脑部疾病或者对大脑组织的电活动及大脑的功能状态进行分析。 1.将实验测得的脑电数据文件转换为文本文件(已经过50Hz陷波)， 获得在Matlab 平台上可直接使用的脑电信号数据，即0661.txt。 2.在Matlab中导入数据，并提取Fp1通道的脑电信号，通过FFT变换对α，β，θ，δ波段进行提取，并做FFT逆变换变到时域。 3.计算各个波段的功率谱。(FFT spectrum can be extracted on EEG. We can use the extracted EEG each band to diagnose some brain disorders or brain tissue on the brain' s electrical activity and functional status were analyzed. One would experimentally measured EEG data file into a text file (has been 50Hz notch), obtained in Matlab platform can be used directly EEG data, that 0661.txt. (2) import data in Matlab and extract Fp1 channel EEG by FFT transform α, β, θ, δ bands were extracted, and do FFT inverse transform variable to the time domain. 3 calculate the power spectrum of each band.)

孟德尔隐马尔科夫的源程序，对于孟德尔隐马尔科夫的研究者有帮助

利用支持向量机的最优算法,来分割图像,可以得到有效地细胞分离图片(Using the optimal algorithm of support vector machine to segment the image, we can get the cell separated image effectively.)

说明：  eeg计算，用于EEG的demo计算，生物医学工程信号处理(EEG calculation, demo calculation of EEG, signal processing of Biomedical Engineering)