lowbandToFullbandEnergy-ratio

simulink建模与仿真 基础入门源代码(simulink modeling and simulation based on the source code entry)

关于matlab的几个实例和若干教程，国外写的(Several instances of matlab and tutorial written abroad)

Particle swarm optimization has been used to solve many optimization problems since it was proposed by Kennedy and Eberhart in 1995 [4]. After that, they published one book [9] and several papers on this topic [5][7][13][15], one of which did a study on its performance using four nonlinear functions adopted as a benchmark by many researchers in this area. In PSO, each particle moves in the search space with a velocity according to its own previous best solution and its group’s previous best solution. The dimension of the search space can be any positive integer.

Softmax 函数处理，softmax 用于 Deep Learning 后的分类器的实现与识别，此函数的参数经过优化，有较强的泛化能力和性能(Softmax function processing, softmax classifier Deep Learning for the realization and recognition, the parameters of this function is optimized, there is a strong generalization ability and performance)

该函数提供了一个ARMA谱估计，最大熵满足相关约束（极点数）和倒谱。 该函数需要3个输入：输入信号、分母阶数、分母阶数和输出变量分别为：分子系数、分母系数和输入噪声功率的平方根。(The function requires 3 inputs: Input signal, Order of denonominator, Order of Numerator and the output variable are: numerator coeffients, denominator coeficients and square-root of input noise power.)

这是我们实验所使用的LEACH算法代码。在m=1时，相同的代码可以用于FIAR(This is the LEACH code we have used. The same code can be used for FAIR if m=1 )

简单实用的matlab源码，描述了Q学习的过程，实现了探索和最优化.适用于初学者(Simple and practical matlab source, describing the Q learning process, to achieve the exploration and optimization suitable for beginners)

gaussnode,gaussquado, mls shap function

张德丰matlab小波分析源代码，从信号时-频联合分析引入小波变换，将信号的多分辨率分析及Mallat算法作为全书的重点，并在此基础上，进一步阐述了双正交小波多分辨率分析、小波包多分辨率分析、提升小波应用，还讲述了小波分析在奇异性检测、去噪及数据压缩中的应用。(Zhang Defeng Matlab wavelet analysis of the source code from the signal- frequency joint analysis of the introduction of wavelet transform, multi-resolution analysis of the signal and Mallat algorithm as the focus of the book, and on this basis, further elaborated biorthogonal wavelet multi-resolution analysis wavelet packet multi-resolution analysis, the lifting wavelet applications, but also about the application of wavelet analysis in the singularity detection, de-noising and data compression.)

说明：  图像识别 安全帽检测 安全帽识别 用于安全帽的检测任务(Image recognition helmet detection helmet recognition for helmet detection task)