chap1

matlab code for digital signal processing

本上传资料为simulink学习教程，通过此教程可以了解一些基本操作。(The upload data to simulink tutorials through this tutorial to learn some of the basic operations.)

高斯过程分类程序，运用拉普拉斯近似来实现二分类和多分类功能。(Implements Laplace s approximation for binary and multiclass classification.)

通信系统中基于MATLAB的关于非线性滤波器的仿真程序(MATLAB-based communication system on the non-linear filter simulation program)

支持向量机分类源代码，matlab环境，可以代入数据进行类别分类。(Support vector machine classification of source code directly into the data to the data category classification. )

谱MUSIC算法的MATLAB实现的基础程序(Spectral MUSIC algorithm MATLAB realize the basis of procedures)

关于感知机的一个神经网络例子，适合初学者 可以下来看看(On a neural network perceptron example, suitable for beginners can be down to see)

Chapter 4. Interpolation and Polynomial Approximation Algorithm 4.1 Evaluation of a Taylor Series Algorithm 4.2 Polynomial Calculus Algorithm 4.3 Lagrange Approximation Algorithm 4.4 Nested Multiplication with Multiple Centers Algorithm 4.5 Newton Interpolation Polynomial Algorithm 4.6 Chebyshev Approximation

Today, gas turbines are one of the major parts of modern industry. They have played very imported in aeronautical industry, power generation, and main mechanical drivers for large pumps and compressors. This paper proposes to examine the application of fuzzy logic to represent a fuzzy model of a gas turbine and their applications in control systems. The main objective of this work is construction of a fuzzy model of the gas turbine system, the validation results show that this model can be used for the system control and Diagnostics.

LU decomposition. Introduced by two matrices A and B we find the solution of linear equations