make_SNR

matlab源程序： 用Fisher两类判别法对样本进行分类 对样本进行主成分分析 用最短距离算法的系统聚类对样本进行聚类 用二次完全式回归法估计一个因变量与两个自变量之间的关系 (matlab source: The Fisher discriminant method, two types of samples to classify the samples by principal component analysis system using the shortest distance clustering algorithm for clustering of samples with the quadratic regression method to estimate a fully dependent variable and two independent variables of the the relationship between the)

本程序是4dpsk的matlab仿真以及在sinmulink下的建模仿真(This procedure is the matlab simulation 4dpsk as well as in the modeling and simulation sinmulink)

本文算法是将24 位真彩图的亮度分量分块 DCT ,然后利用DCT 量化系数的奇偶特性嵌入8 位灰度水印图,并通过PN 序列加密来保证水印的 安全性。算法中,将灰度图像转换为二进制数据 流,置乱后扩频调制,隐藏在宿主DCT 系数量化值 中,提取时不需要宿主信号,实现水印信号的盲提 取。(This algorithm is 24-bit true color pictures of the luminance component of block DCT, quantization DCT coefficients and then use the parity properties of 8-bit grayscale watermark embedding map, and through the PN sequence of encryption to ensure the security of the watermark. Algorithm, the gray image into binary data stream, scrambling after the spread spectrum modulation, hidden in the host DCT coefficient quantization values, the extraction does not require the host signal, the blind watermark extraction.)

说明：  基础的迭代学习控制算法，基于开环、闭环、开闭环的算法(Basic iterative learning control algorithm)

完美的OFDM仿真，可以应用于多种环境下的数据链路，并含有多种结果仿真(OFDM perfect simulation, can be applied to a variety of data link environment and contains a variety of simulation results)

个24点自动计算器，算法方面是比较暴力的……有待完善 (24-point automatic calculator, the algorithm is more violent aspect to be perfect ... ...)

802.11b的基带物理层仿真模型，希望可以对他人有帮助(802.11b baseband physical layer simulation model, hoping to help others)

核主元分析模型，用于故障检测，输入建模数据和待检测数据，计算T2和SPE统计量(Kernel Principal Component Analysis model for fault detection, input data for modeling and data to be detected, calculated T2 and SPE statistics)

matlab源码关于模糊K均值聚类算法，很好的，适合大家下载研究学习(matlab source code on the fuzzy K-means clustering algorithm, very good for everyone to download research study)

signals and systems basics