SimpleColorDetectionByHue

PIDTuningUsingG.A pid 算法(PIDTuningUsingG.A pid algorithm)

说明：  这几篇文章介绍了佩特利网(Petri网)和Stateflow 的基本概念，给出Petri网在MaⅡab环境下的仿真方法．混合Petri网模型为例进行说明， 结合仿真结果对Peri网的性能进行了初步分析。(This articles describes Pei Teli net (Petri net) and Stateflow basic concepts of Petri nets is given in Ma Ⅱ ab environment simulation. Hybrid Petri net model as an example, simulation results with the performance of Peri network conducted a preliminary analysis.)

说明：  基于dwt的水印图像matlab代码，这是小波变换的经典算法(Dwt-based image watermarking matlab code, which is a classical algorithm for wavelet transform)

非常好的额matlab学习课件，是GUI的哦，哈哈，希望可以对你有帮助(Very good amount matlab learning courseware, the GUI Oh, ha ha, I hope you can help)

最大熵模型IIS参数估计算法的实现，针对自然语言处理中词位分词的任务设计(IIS for maximum entropy)

uniform circular array direction of arrival estimation using one single snapshot

pca orl 人脸数据库 识别人脸 带精确度

纳税风险评估方案及对策,2013西安交通大学数学建模模拟赛matlab代码(Tax risk assessment program and Countermeasures.)

特征空间方法是现代谱估计的重要方法之一。针对噪声中的复正弦信号的模型，通过特征矢量的方法进行信号空间的分解。通过将信号空间分解为谐波信号空间和噪声信号空间这两个相互正交的空间的方法进行谱估计。Pisarenko,Music,ESPRIT算法都是这一类方法的重要算法。我们通过对不同算法进行比较分析不同算法在各种状况下的表现性能。并针对ESPRIT算法的各种改性和提升进行对比和测试。(Feature space is one of the modern spectral estimation method. Complex sinusoidal signal for the noise model, by the method of the feature vector for the decomposition of the signal space. By decomposition of the signal space to the space harmonic signal and the noise signal space, the method of the two mutually orthogonal spatial spectrum estimation. Pisarenko, MUSIC, ESPRIT algorithm is an important algorithm of this type of method. Different algorithms, our comparative analysis of the performance of different algorithms performance under a variety of conditions. And for a variety of modification and upgrading of the ESPRIT algorithm to compare and test.)

利用三电平中心削波自相关法实现清、浊音判定，并提取一段话音的基频参数，绘制基频曲线，并将该参数曲线合并到前面提取的短时过零率和短时能量参数曲线图中(Using a three-level center clipping from the relevant law to achieve clear, voiced determination, and extract some of the fundamental parameters of the voice, drawing the fundamental frequency curve and merge the parametric curve to the front of the extraction rate and the short-term zero short-term energy parameters graph)