primal_svm

以Simulink为主要工具介绍了系统仿真方法与技巧，包括连续系统、离散系统、随机输入系统和复数系统的仿真。介绍了模声封装技术、电力系统模块集、非线性系统设计模块集、S-函数编写与应用、Stateflow有限状态机、虚拟现实工具箱等中高级使用方法，最后还介绍了半实物仿真技术与实时控制技术。(Simulink as the main tool to introduce a system simulation methods and techniques, including continuous systems, discrete systems, stochastic input system and the simulation of complex systems. Introduce a sound module packaging technology, power system module set, non-linear system design blockset, S-function of the preparation and application, Stateflow finite state machine, virtual reality and other high use of the toolbox, and finally also introduce a semi-physical simulation technology and real-time control technology.)

control signal to noise level

卷积码vitebi译码的matlab程序(Decoding convolutional codes vitebi matlab program )

—This paper shows a proposal for Type-reduction of an Interval Type-2 fuzzy set composed from α -cuts done over its primary membership functions. The defi nition of available Type-reduction methods for Interval Type-2 fuzzy sets are based on an homogeneous subdivision of the universe of discourse, so we propose an approximation algorithm for Type-reduction of an Interval type-2 fuzzy set through its primary α -cuts. Some defi nitions about the α -cut of a Type-2 fuzzy set are provided and used for computing the centroid of an Interval Type-2 fuzzy set through a mapping of its membership function, instead of its universe of discourse.

多分辨率平滑图像去噪算法的例程,主要包括小波域的sar图像处理算法（matlab）(Multi-resolution image denoising smoothing algorithm routines, including wavelet domain sar image processing algorithms (matlab))

运用matlab神经网络工具箱，在水质质量中进行预测(Use of matlab Neural Network Toolbox, to predict the water quality in the)

QAM编码调制 通信系统中常用的调制方式(QAM )

Neural network Perceptron For Xor classification

simosimul simulates the ber for different simo systems 1*1,2*1,3*1 and 1*4

该代码是对人脸进行光照处理，先进行gamma变换，然后进行Dog双边滤波，然后进行灰度亮度的均衡。该方法能够有效提高光照变化的情况下的系统识别性能(The code is the human face of light treatment, the first for gamma conversion, and then Dog bilateral filtering, then the brightness of the gray balance. The method can effectively improve the illumination changes in the case of system identification performance)