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Integrated Software Development Guide软件开发技术综合教程(Integrated Software Development Guide Software Development Integrated Course)

本代码用于AnFis控制的初学者在MATLAB中学习使用(ANFIS model)

A fingerprint recognizing system is built with two principal components: the fingerprint admin istrator and the fingerprint recognizer. Fingerprints are identified by their special features such as ridge endings, ridge bifurcation, short ridges, and ridge enclosures, which are collectively called the minutiae.

Construct a Low Density Parity Check Matrix for the three code rate of DTMB standart of TDT. The data has obtain of GB2006-20600 paper.

The purpose of this study guide is to prepare you for the Sun Certified Java Associateexam. This preparation will be accomplished by familiarizing you with the necessaryknowledge related to Java fundamentals, tools, and technologies that will be represented on the exam.

利用MATLAB语言实现二维信号多尺度离散小波分解(Using MATLAB language to achieve two-dimensional discrete wavelet multi-scale decomposition of signals)

As a consequence, more exact models of devices can be retained for analysis rather than the approximate models commonly introduced for the sake of computational simplicity. A computer icon appears in the margin with each introduction of MATLAB analysis.

整车的simlink模型 方便大家对于整车仿真研究(Simlink vehicle for vehicle simulation model to facilitate research)

A timing error detector for Communication systems with simulink. # Required versions Matlab 5.2.1, Simulink 2.2.1 # File description 1. ti_det1.m (simulink version 5.2.1) An s-function to be used for timing detector. For detailed information, Refer to the following paper,K.H. Mueller and M. Mueller, Timing recovery in digital synchronous data receivers, IEEE Trans. Comun., vol COM-24, no. 5, May 1976. 2. m_delay3.m (related m-file) An s-function operating as sample and hold with clock port. 3. test1.mdl A timing recovery system to test the timing detector.

卡尔曼滤波是一种高效率的递归滤波器(自回归滤波器), 它能够从一系列的不完全包含噪声的测量中，估计动态系统的状态。(Kalman filter is an efficient recursive filter (autoregressive filter), it can not completely contain from a series of noise measurements, the estimated dynamical systems.)