TCM-jishufenxi

贝叶斯分类器，基于最小错误率的贝叶斯分类器(Bayes)

产生了一个正弦波，方波，三角波的db—sc调整信号的频谱，实现过程等(Produced a sine wave, square wave, triangle wave db-sc adjustment signal spectrum, the realization process, etc.)

说明：  MATLAB在科学计算中的应用和实践。针对各种情况进行逐一的详解和拓展。(MATLAB in scientific computation and practice. For each case one by one Wapakhabulo and development.)

A Discrete 3-Phase ProgrammableSource block is used to generate a 1 pu, 15 degrees positive sequence voltage. At t = 0.05 s the positive sequence voltage is increased to 1.5 pu. At t = 0.1 s an unbalance is introduced by adding a 0.3 pu negative sequence component with a phase of -30 degrees. The magnitude and phase of the positive-sequence component is evaluated in two diiferent ways: 1) Sequence calculation of phasors using Fourier analysis and 2) abc to dq0 transformation. Math Function and Trigonometric Function blocks are used to evaluate the magnitude and phase of the positive sequence from the d and q components: V1 = sqrt(Vd^2 + Vq^2) , Phi1 = atan(Vq/Vd))

运用仿真软件对滑动轴承油膜压力分布进行模拟分析和设计计算。(Based on the MATLAB technical sliding bearing oil film pressure distribution simulation analysis, and design calculations.)

重要参数的提取，调试通过可以使用，可以实现模式识别领域的数据的分类及回归，是国外的成品模型，多目标跟踪的粒子滤波器，包含位置式PID算法、积分分离式PID。( Extract important parameters, Debugging can be used, You can achieve data classification and regression pattern recognition, Foreign model is finished, Multi-target tracking particle filter, It contains positional PID algorithm, integral separate PID.)

The J2EE Architect s Handbook: How to be a Successful Technical Architect for J2EE Applications by Derek Ashmore ISBN:0972954899 DVT Press © 2004 (284 pages) This handbook is a concise guide to architecting, designing, and building J2EE applications. Whether you re architect your first J2EE application or looking to keep your projects on-time and on-budget, you will refer to this handbook again and again.

GMSK调制解调例程，采用了相位滤波的算法，供参考。(GMSK modulation and demodulation routines, using phase filtering algorithm, for reference.)

关于bragg光纤的 tmm模式的程序(on the mode of procedure t)

for using this code need to use signal toolbox and general toolbox in your matlab Using Haar transform to compress the image (showing remaining coefficen of Thresholded Image) and then using Inverse 2D Haar transform and finding the SNR to see how well decompression works