smart-antenna

数字基带传输系统的MATLAB仿真实现 function [sampl,re_sampl]=system_1(A,F,P,D,snr,m,N) 输入变量A ,F,P分别为输入信号的幅度、频率和相位，D为量化电平数，snr 为信道信噪比，N为D/A转换时的内插点数；输出变量sampl为抽样后的输入 信号，re_sampl为恢复出的输入信号。 数字基带传输系统的MATLAB仿真实现 [sampl,quant,pcm]=a_d_1(A,F,P,D) [changed_ami]=signal_encod_1(pcm) [ami_after_channel]=channel_1(changed_ami,snr) [adjudged_ami]=adjudg_1(ami_after_channel,m) re_pcm=signal_decod_1(adjudged_ami) [re_voltag,re_sampl,re_sampl1]=d_a_1(re_pcm,sampl,D,N)(Digital baseband transmission system implementation MATLAB simulation function [sampl, re_sampl] = system_1 (A, F, P, D, snr, m, N) input variables A, F, P, respectively, for the input signal amplitude, frequency and phase , D to quantify the number of electric-ping, snr for the channel signal to noise ratio, N to D/A converter when the interpolation points output variables for the sample after Sampl input signal, re_sampl for the restoration of the input signal. Digital baseband transmission system simulation MATLAB implementation [sampl, quant, pcm] = a_d_1 (A, F, P, D) [changed_ami] = signal_encod_1 (pcm) [ami_after_channel] = channel_1 (changed_ami, snr) [adjudged_ami] = adjudg_1 (ami_after_channel, m) re_pcm = signal_decod_1 (adjudged_ami) [re_voltag, re_sampl, re_sampl1] = d_a_1 (re_pcm, sampl, D, N))

共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数(Conjugate Gradient method (Conjugate Gradient) is between the steepest descent method between Newton method and a method, it only USES a derivative information, but overcome the steepest descent method slow convergence of weakness, but also avoid the Newton law needs to storage and computing Hesse inverse matrix and shortcomings, Conjugate Gradient method is not only solve linear equations with most of the large method, and also one of the most effective solution large nonlinear optimization of one of the algorithm. In all kinds of optimization algorithm, the conjugate gradient method is very important. Its advantage is the storage capacity needed, it has small step convergence, high stability, and doesn t require any exotic parameters numerical experiment, this is the modern scientific computing of the answer above problem sets)

说明：  MATLAB及其在理工课程中的应用指南，详细的配备各个源程序，帮助初学者很好掌握。(MATLAB and its application in the Application of Science and Technology Curriculum Guide and detailed with all the source code to help the beginner a good grasp.)

Teach Logical operations to a 2 input neuron

教授 Andrew Ng 的maching learning 课excise1答案(the answer of the maching learning teaching by Andrew Ng )

运用模糊控制器编写matlabM文件，实现小车单级倒立摆系统的控制问题(fuzzy control in inverted pendulum systems)

MATLAB源代码大全，包括二维连续傅里叶变换，离散余弦变换，Radon变换实现的源代码(MATLAB source code complete, including two-dimensional continuous Fourier transform, discrete cosine transform, Radon transform source code)

自己编写的彩色图像分水岭分割代码，希望对大家有帮助。(I have written the code for color image watershed segmentation, we want to help.)

关于电感天线的选择，我选择的是这款，大家有跟好的选择么。(Manual inductance of the antenna)

np-CSMA协议程序：计算实际产生的业务量 ，吞吐量，平均延迟(np-CSMA protocol procedures: calculation of the actual traffic throughput, average delay)