PFC-BOOST-CONVERTER-OPENLOOP

说明：  逆透視轉換Matlab程式，可降透視轉為鳥瞰(Inverse Perspective convert Matlab program can be reduced to a bird)

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].

使用matlab计算汽车动力性，为分析整车性能打下基础，同时作为分析整车性能的工具(Calculation of vehicle dynamics)

DCDC boost 虚拟阻抗仿真的基本教程，简单实用，希望对大家有帮助( Boost DCDC virtual impedance simulation of the basic tutorial, simple and practical, we want to help)

说明：  牛顿下山法标准程序，数值计算研究必备，通俗易懂(newton downhill algorithm)

用matlab编程实现连续时间信号的离散化处理，并绘图，使其形象化(Matlab programming with discrete continuous-time signal processing, and graphics to visualize)

C-C法求相空间重构的延迟时间,内有详细说明方法，(CC method for phase space reconstruction delay time, with detailed description of methods,)

Golay coding in a Rayleigh fading channel

基于KF滤波技术的目标跟踪实现程序，包含了相应的改进算法，可以直接运行。(Target tracking based on the technology of KF filter implementation procedures, and contains the corresponding improved algorithm, can be directly run.)

Basically template match with rotation. Given a template as binary edge image the function find the object that match the template in the image. This work even if the template and object are in different orientations. The matching is is done by rotating the template and matching it to the image in various of angles, the best match is returned. Matching the template to the image can be done by various of template match approaches including crosscorrelation and generalized hough transform. See the readme file supplied in the code zip file for more details