random-process

说明：  实现信号的频谱分析，性能分析，产生几个波形(For signal spectrum analysis, performance analysis, resulting in several waveform)

用于二维图像的角点检测算法，基于matlab编程(For two-dimensional image of the corner detection algorithm, based on the matlab programming)

在最小二乘参数估计值的基础上，引进补偿项σW2C-1D Ø 0，则获得了参数的无偏估计。针对模型噪声来说，RCLS算法的适应能力比RLS更好。(In the least squares estimation parameters, on the basis of introduction of compensation term σ W2C- 1 d Ø 0, then get the parameters of the unbiased estimation. According to the model for noise, RCLS algorithm adaptive RLS better than.)

wsn fundemental in matlab

主要讲述MATLAB经典、常用的命令，并加以举例说明，可读性强！(tell the detail use of classic and common used MATLAB codes)

本程序是运用SVM来实现人脸识别算法，能直接运行且能进行二次开发(This procedure is to use SVM to implement face recognition algorithm that can run directly and can perform a secondary development)

LTE下行链路空分复用闭环。仿真配置：16QAM调制、1/3码率Turbo编码、10MHz带宽、每个子帧一个PDCCH符号、单码字，8次迭代Turbo译码、早期终止机制、MMSE（最小均方误差）MIMO接收器，PDSCH发射端进行空分复用预编码。信道模型是LTE-MIMO信道附加AWGN信道。(LTE downlink closed loop space division multiplexing. Simulation Configuration: 16QAM modulation, 1/3 rate Turbo code, 10MHz of bandwidth, one PDCCH per subframe symbol, single code word, 8 Turbo decoding iterations, early termination mechanisms, the MMSE (minimum mean square error) the MIMO receivers, PDSCH transmitting terminal space division multiplexing precoding. Channel model is LTE-MIMO channel additional AWGN.)

matlab 编写的惯导定位程序，可以直接运行(INS positioning written in matlab program can be run directly)

编写了MATLAB程序生产和扩频码进行仿真，仿真程序从发送方完成通道的接收端，得出在不同的扩频码，在不同的信噪比即误码率的图形比较直接序列扩频通信系统原理，改善系统性能的度(Written MATLAB program to produce and direct sequence spread spectrum communication system principle of spreading codes for simulation, emulation program to complete the channel from the sender to the receiver end, draw graphics comparison at different spreading code, the bit error rate under different SNR i.e., the degree of improvement of the system performance)

该上传为数字图像处理实验资料，包括实验原理和实验程序，有四个实验：图像的显示和视觉特性，图像的变换与量化实验，图像压缩综合实验，图像增强实验。可供朋友们学习数字图像处理方面参考。(The uploading of digital image processing experimental data, including the experimental principle and the experimental procedure, there are four experiments: an image display and visual characteristics, image transform and quantization experiments, a comprehensive experimental image compression, image enhancement experiments. For friends to learn digital image processing reference.)