nrw_matlab

this is a program about genetic algorithm

实现ECG和BCG信号采集和同步监测，对采集的信号进行了特征量提取并作出相应诊断，波形显示在液晶屏上。(Achieve ECG and BCG signal acquisition and simultaneous monitoring of the collected signals feature extraction and make the appropriate diagnosis, the waveform displayed on the LCD screen.)

采用主成分分析算法进行人脸识别的matlab程序，需要ORL数据库。(PCA recgnition)

用MATLAB写的成粗对电力系统进行静态稳定仿真，进而提出提高静态稳定的措施(Using MATLAB to write into the rough on the static stability of power system simulation, and to increase the static stability of the measures)

说明：  在求解每日零息债券的基础之上，计算每日远期利率曲线 (basing on Solving zero-coupon bonds in the daily basis, calculated daily initial forward rate curve in future)

清华大学张学工模式识别基础课件，一共13个章节，齐全。(Qinghua Zhang workers pattern recognition based courseware, complete.)

应用对偶四元素进行组合导航解算，包括姿态解算，速度解算，位置解算(the caculation of strapdown-inertial navigation with dual-quaternion)

多目标跟踪的 MHT 算法的一种实现。可以在 Linux 版的 MATLAB 中运行。代码仅供参考。相关论文： 1. Multiple object video tracking using GRASP-MHT 2. An Efficient MHT Implementation Using GRASP(An implementation of MHT for multi-target tracking. For research purpose only. Related papers: 1. Multiple object video tracking using GRASP-MHT 2. An Efficient MHT Implementation Using GRASP)

语音信号的频谱分析,包括采样语音的FFT变换,及倒频谱分析.(Speech signal spectrum analysis, including FFT, voice samples, and cepstrum analysis.)

说明：  本目录主要包括：文档和两个源代码。 其中一个源代码是识别程序的，另一个是一个矩阵类库的，书里面也使用过，所以一并附上。 因为已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行\\Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。 当然读者也可以自行用训练样本训练网络，不过要特别注意训练样本的选择，否则可能造成识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下，训练样本数目尽量多。 ( This directory includes: documentation and two source code. One of the source code is to identify the procedure, the other is a matrix class library, the book which is also used, so be attached. Because it has saved the trained network weights, so the first use of identification procedures, you can directly run \ \ Release directory of the executable files, and then tested on the images directory to read pictures, identification. Of course, readers are free to use the training samples to train the network, but pay special attention to training samples, otherwise it may cause very low recognition rate. Training sample selection principle is that as far as possible, representative, in the long training time Buzhi Yu s case, the number of training samples as much as possible. )