GMSK

本程序给出了从背景中分离出行人的matlab源代码.采用提取好的背景和行人的HOG特征,而这些特征又分为未分块和分块两组,所谓分块就是将图片进行细分,提取的特征更细.最后用最小欧氏距离法分类.(This procedure gives the background to separate from the travel people matlab source code. By extracting a good background and pedestrian HOG features, and these features are not divided into blocks and blocks Liangzu, the so-called sub-block is to carry out detailed pictures points, the extracted features more detailed. Finally, the smallest Euclidean distance classification.)

说明：  增量式PID的MATLAB实现 有源代码(Incremental PID of the MATLAB source code to achieve)

shabake asabiPerceptron.m

原对偶内点法求解非线性最优化问题的测试程序，能准确快速的收敛到最优值(Primal dual interior point method for solving nonlinear optimization problem of the test procedure can accurately and quickly converge to the optimal value)

说明：  对脑电信号进行5层小波包分解，提取相应的节律波(The EEG signal was decomposed by 5-layer wavelet packet to extract the corresponding rhythmic wave)

基于Simulink的整流滤波电路仿真，通过选择不同的电抗元件，得到最为理想的滤波效果。(Simulink-based simulation of the rectifier filter circuit)

说明：  做生成数(使用0.1做因子),之后13年的数据按统计方法标准化后输入,训练,仿真,对比结果。这个过程相当于插值计算(Generated to do a few (make use of 0.1 factor), after 13 years of data input after the standardization of statistical methods, training, simulation, comparing the results. This process is equivalent to interpolation calculation)

Bifurcations of Nonlinear Systems

Using TF-IDF to Determine Word Relevance in Document Queries : In this paper, we examine the results of applying Term Frequency Inverse Document Frequency (TF-IDF) to determine what words in a corpus of documents might be more favorable to use in a query. As the term implies, TF-IDF calculates values for each word in a document through an inverse proportion of the frequency of the word in a particular document to the percentage of documents the word appears in. Words with high TF-IDF numbers imply a strong relationship with the document they appear in, suggesting that if that word were to appear in a query, the document could be of interest to the user. We provide evidence that this simple algorithm efficiently categorizes relevant words that can enhance query retri

This book constitutes an excellent source for understanding the basic operation of the Global Positioning Systems (GPS). It also allows the reader to take the first steps towards understanding how the Kalman Filter is implemented in the estimation of drifting parameters of the GPS. The "Kalman Filter Basics" chapter is preceded by a description of the different errors that affect the GPS signals. Furthermore, this book includes sections on the Wide-Area Augmentation System, Inertial Navigation, and Differential GPS, which enables the understanding of these concepts and thus, provides the reader an overall perspective of the Global Positioning System.