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PHOTOVOLTAIC MODELISATION WITH SIMULINK

leachm1和leachm2的生命周期对比 leachm1和leachm2的数据传输对比对比(Lifetime comparison between leachm1 and leachm2 Comparison of data transmission between leachm1 and leachm2)

天线方向图的波达方向，用于描述回波的方向图6，可以用于初学者学习使用(DOA antenna pattern, used to describe the echo pattern 6 can be used for beginners to learn to use)

用matlab语言的ssi法随机子空间法的编程，效果不错(Matlab programming language using stochastic subspace ssi Act law, good results)

说明：  条件语句是编程中最常用的结构，这里作一个演示结果的文件(conditional statement is the most commonly used programming structure here for a demonstration of the results of the document)

Gold序列因为其良好的伪噪声特性，经常作为CDMA扩频系统仿真中的用户扩频序列，用MATLAB可以产生各种长度的Gold序列优选对，在此基础上，产生混沌序列等其他性质的扩频序列也很容易。(MATLAB script for Illustrative Gold sequence generation)

这是一个关于稀疏高斯过程的matlab源码，可以用于计算测试输入的高斯预测值。( spgp_pred computes the SPGP predictive distribution for a set of test inputs. You need to supply a set of pseudo-inputs or basis vectors for the approximation, and suitable hyperparameters for the covariance. You can use any method you like for finding the pseudo-inputs , with the simplest obviously being a random subset of the data. It is coded for Gaussian covariance function, but you could very easily alter this. It is also fine to use for high dimensional data sets. spgp_lik is the SPGP (negative) marginal likelihood and gradients with respect to pseudo-inputs and hyperparameters. So you can use this if you wish to try to optimize the positioning of pseudo-inputs and find good hyperparameters, before using spgp_pred . I would recommend initializing the pseudo-inputs on a random subset of the data, and initializing the hyperparameters sensibly. Its current limitations are that 1) it is slow and memory intensive for high dimensional data sets 2) it is heavi)

短时能量，端点检测，功率谱图与短时f变换，时域与f变换的matlab实现(Short-term energy, endpoint detection, and short-term power spectra of f transform, time-domain transform matlab with the realization of f)

说明：  本人的一篇数字图像水印文章，一种基于图像最高有效位构造密钥的零水印算法（核心期刊），共大家参考。(A Kind of Non-watermarking Algorithm Based on MSB Structure Key )

本文章主要是研究在压缩传感语音增强稀疏问题。一些算法以及对比。(On sparsity issues in compressive sensing based speech enhancement)