Golay_coding

针对多目标测控问题，提出了一种实用的利用基于圆阵的数字波束形成技术来实现目标跟踪的系统。在系统实际工作于噪声和干扰环境中时，为避免计算梯度时可能出现的数值突变，提出了一种修正的梯度跟踪自适应算法，可靠地实现了权值更新，并对各阵元输出进行加权合并，以获得最大信号输出，同时实现对目标方位角和俯仰角的自动捕获和跟踪，且跟踪迅速、正确、稳定。仿真结果表明了所提出的方案的正确性。(Monitoring and control for multi-objective problem, a practical circular array-based digital beam forming technology to achieve target tracking system. Practical work in the system noise and interference in the environment is investigated in order to avoid calculate the gradient values may be mutations present a modified gradient tracking adaptive algorithms, reliably achieve the right value update, and the output of the array weighted combined to obtain maximum signal output, while achieving the target azimuth and elevation of the automatic capture and tracking, and tracking fast, accurate and stable. Simulation results show that the proposed scheme is correct.)

编写一个matlab函数用一个N点离散傅里叶变换同时计算两个N点实序列的离散傅里 叶变换，并将结果与直接使用两个N点离散傅里叶变换计算出来的结果进行比较(Write a matlab function with an N point discrete Fourier transform and calculate actual sequence of two N point discrete Fourier transform, and the results with the direct use of two N point Discrete Fourier Transform calculated results are compared)

利用MATLAB编写的带有GUI界面的矩阵计算器，可实现一般的功能，及其扩展功能(Matrix calculator using MATLAB prepared with a GUI interface, enabling the general functions and extensions)

the simulation provides computation of target reflectivity data in the deficient elevation domain. Simulations are implemented to test the decoupled least-squares technique for high resolutionspectral estimation of target reflectivity.all seven (7)files should be downloaded for the simulation to work.(dls3D.m,estimate.m,get2S1Data.m,getConstraints.m, getImageData.m,getPixelData.m, getSLICYData.m)

说明：  观察高斯序列 的时域和幅频特性。 ①固定p=8，q分别等于2、4、8，观察它们的时域和幅频特性，了解当q取不同值时，对信号序列的时域和幅频特性的影响 ②固定q=8，p分别等于8、13、14，观察p变化对信号序列时域和幅频特性的影响，注意p等于多少时，会发生明显的泄露现象，混叠是否也随之出现？记录实验中观察到得现象，绘出相应的时域序列和幅频特性曲线(Observed Gaussian sequence in time domain and amplitude-frequency characteristics. ① fixed p = 8, q is equal to 2,4,8 respectively, to observe them in time domain and amplitude-frequency characteristics, to understand when the different values of q, the signal sequence in time domain and amplitude-frequency characteristics of ② fixed q = 8 , p is equal to 8,13,14 respectively, to observe the changes in the signal sequence p in time domain and amplitude-frequency characteristics, note that p is equal to the number when the apparent leakage phenomenon, aliasing is also gone? Records of the experiment was observed phenomenon, draw the corresponding time-domain sequence and amplitude-frequency characteristic curves)

Huffman source code for matlab.

this code shows wsn and msn difference........................................................

利用①相关匹配（Correlation Matching）、②基于Hausdorff距离匹配方法 及③考虑对场景图象距离变换（Distance Transform）的Hausdorff距离匹配方法,实现模板目标在场景图象中的定位(Use ① correlation matching (Correlation Matching), ② matching method based on Hausdorff distance and image of the scene ③ consider the distance transform (Distance Transform) the Hausdorff distance matching methods to achieve the target template in the scene image positioning)

ofdm code with simlink

基于 MATLAB 的时域信号采样及频谱分析，是很好的学习时域信号的matlab源代码。(MATLAB-based time-domain signal sampling and spectral analysis, is a very good study of time-domain signal matlab source code.)