Kalman-filter

matlab程序：LFMCW雷达测速测距中CZT变换（输入为3个正弦信号）(matlab program：CZT transform of LFMCW Radar)

ECG signal feature extraction

soliton pulses that affected the damping. soliton pulse stability of the dispersion

这是一个普通的、容易理解的卡尔曼跟踪滤波器的程序，对初学者有较大的帮助(This is a common, easy to understand the procedure of the Kalman tracking filter, a great help for beginners)

可以实现Dual-Mode MCMA+DD-LMS的盲均衡算法，效果比MCMA及DD-LMS好，同时解决了相位旋转(It can implement Dual-Mode MCMA+DD-LMS blind equalization algorithm, better than good MCMA and DD-LMS, while addressing the phase rotation)

支持向量机的matlab实现代码，能实现支持向量机的建模，与识别(Support vector machine matlab code to achieve the support vector machine modeling, and recognition)

基于matlab的雷达信号仿真分析，包含过程讲解与代码(Based on analysis of radar signal simulation matlab, including the process of explanation and code)

Finally, probability analysis, based on the chosen database, is performed and judgment whether the person is recognized is pronounced. Two different modeling techniques can be suggested for purposes of person identification or verification. The approach based on Hidden Markov Speaker Models (HMMs) with the mixtures of Gaussian distribution is text-dependent one. For this technology a speaker is described by a set of HMMs, constructing the set of speech groups spoken by that person. The speech groups may be phonemes or words [7]. The text-independent technology is rested upon Gaussian Mixture Speaker Models. For this technology each speaker is defined by only one model describing all utterances of that person. Identification in the range of both approaches is executed by evaluation of maximum a posteriori probability [7].

双向DCDC恒流放电仿真，buckboost变换器，400v到200v恒流仿真(Two way DCDC constant current discharge simulation, buckboost converter, 400V to 200V constant current simulation)

ERCEG_SUI Model, huaukahkahuoioa.