COAXIAL_CABLE_CAPACITANCE

matlab下运行的PID程序,书籍配套的原文件,可以直接运行(PID running matlab process, books supporting the original document, can be directly run)

说明：  这个程序对于学习流行学习算法的朋友很有借鉴意义，在matlab上能够运行。(This procedure popular learning algorithm for learning a friend of referential significance, in the matlab able to run.)

this code is a generalized form of newton raphson method for finding the power flow in an interconnected system. it is by default designed for 3 bus system bus system it can also be changed for other type of system.

sigma-delta ADC轉換之matlab模型，整個系統都可模擬。(sigma-delta ADC conversion of matlab model, the whole system can be simulated.)

try this and try this(testand test and)

2010年美国大学生数学建模竞赛MCM A题一等奖论文与相关程序代码，解决棒球的最佳击球点的建模问题。程序由VC6编写，用到了VC6与MATLAB7的联合编程。希望对备战美赛或国赛的同学有所帮助(2010 American Mathematical Contest in Modeling MCM A prize question papers and related code to solve baseball' s best hitting point modeling. Procedures prepared by the VC6, use the VC6 and MATLAB7 joint programming. Want to prepare for the U.S. race or national competition helps students)

实现信道估计算法的matlab仿真,非常有用(Achieve channel estimation algorithm matlab simulation, very useful)

《数字信号处理教程——MATLAB释义与实现》的程序集，其中包括三部分。在examples子目录下本书全部例题的完整MATLAB程序；在subrtdsp子目录下是本书中自编的一些子程序，在运行例题程序时需要调用；这两个程序包是在学完本书后，读者能够读懂理解的。(dsk04 is a " digital signal processing tutorial- MATLAB Interpretation and Implementation" of the assembly, which consists of three parts. In all the examples subdirectory book example of a complete MATLAB programs in subrtdsp subdirectory is some self-compiled subroutines in the book, when running the example program need to call these two packages is in the completion of the book, the reader able to read to understand.)

相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values ​ ​ can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)

本程序主要用于小波神经网络电力负荷预测。(This procedure is mainly used for wavelet neural network power load forecasting)