stft-code

Coherent Reception of BPSK transmission

利用KNN最近邻算法，对心音信号进行分割并判断，给出第一心音、第二心音和收缩期、舒张期。(Use KNN nearest neighbor algorithm, the heart sound signal is divided and judgment is given first, second heart sound and systolic, diastolic.)

Frame segmantation in matlab

基于matlab的二维图像的KPCA特征提取(KPCA feature extraction from image by matlab)

CBIR on matlab,using access and matlab code.

实现两幅图像的匹配，程序已调试，可以直接运行(Realize the two images to match, the program has commissioning, can run directly)

分析了支持向量回归机在能源需求预测中的优势,确定了输入向量集合和输出向量集合,建立了基于Matlab技术的SVR能源需求预测模型.对我国1985-2008年能源需求相关数据进行模拟与仿真,并对中国2010年和2020年能源需求量进行预测.研究结果表明:一是中国未来对能源的需求量逐渐增加,从2010年的330400万吨标准煤上升到2020年418320万吨标准煤,年均增长率为2.39％；二是在解决我国能源系统小样本.非线性及高维模式识别问题中SVR比BP神经网络等方法有更高的预测精度.(Support vector regression analyzes advantage in energy demand forecast to determine the set of input vectors and output vector set, established SVR energy demand forecasting model based on Matlab technology. Energy demand for our 1985-2008 related data modeling and simulation , and China in 2010 and 2020 energy demand forecast results show that: First, China s increasing demand for energy in the future, from 3.304 billion tons of standard coal in 2010 rose to 4.1832 billion tons of standard coal in 2020, average annual growth rate of 2.39 second is to solve our energy system small sample nonlinear and high dimensional pattern recognition problem SVR higher prediction accuracy than the BP neural network method.)

FFT变换 原始信号图 模值结果图 幅值-频率图 相位-频率图(FFT transform the original signal amplitude results in Fig Figure modulus value- frequency diagram phase- frequency plot)

通过matlab的simulink进行模糊PID控制，里面包括了3个模型，分别是DpcvDk模型， kBvXXoQ 模型和模糊控制核心算法模型，每个模型的fuzzy控制模块都是通用的，可以移植到其他环境。? (Fuzzy PID control through matlab s simulink, which includes three models, each model isDpcvDk , kBvXXoQ core model and fuzzy control algorithm model, fuzzy control module for each model is generic and can be ported to other environments. )

Multipath and Doppler effects and Models与下一个PDF文档匹配(Multipath and Doppler effects and Models with a PDF document matching)