geom2d

说明：  用牛顿迭代的方法，编写程序，是函数迭代的效率提高，比一般的迭代法要好很多(By Newton iteration method, the preparation procedure is to improve the efficiency function iteration, iterative method than the average much better)

一个多用户检测器的matlab代码程序 采用m序列作为扩频码 非常不错(very good)

MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

该文件是空间矢量调制的整流级。采用m文件编程。输出直流波形符合理论推导，比较理想。(This file is space vector modulation of the rectifier stage. The m file programming. Output dc waveform conform to the theoretical derivation, more ideal. )

Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */

It describes minimum shift keying and its implemetation

chirp信号脉冲压缩，用于雷达信号处理，产生chirp信号后进行压缩，以实现高距离分辨力(chirp signal pulse compression for radar signal processing to generate chirp signal is compressed in order to achieve high range resolution)

此程序为解非线性方程组的逆Broyden秩1迭代法，为MATLAB源程序(This procedure for the solution of nonlinear equations inverse Broyden iteration rank 1 for MATLAB source code)

本程序为边界元的原程序，可用来求解2D位势问题，附数据文件(the procedures for the original boundary element procedures can be used to solve 2D Potential problems with data files)

比较了三种学习方法 1 gradient descent 2 steepest descent with line search 3 conjugate gradient method. 三种方法都在一个.m文件中被实现。(compare three learning methods: 1 gradient descent 2 steepest descent with line search 3 conjugate gradient method.)