Idelta_Bi

说明：  DS系统仿真模型 先调制后扩频的方法 建立模型 绘制误码率曲线(System Simulation Model DS spread spectrum modulated first approach to model the bit error rate curves drawn)

Abstract— We propose a simple speech compression algorithm using subband division and ADPCM (Adaptive Differential Pulse Code Modulation) algorithm. Although speech data are stored in a semiconductor memory device, its capacity and the available network capacity are limited. Therefore, it is necessary to compress the data as much as possible. The first is that the reconstructed datum must be understood correctly. Speech signal is compressed with a ratio of 1/4 using the proposed subband division and ADPCM (Adaptive Differential Pulse Code Modulation) algorithm.

建立LibSVM预测模型，基于网格算法、粒子群算法、遗传算法优化了模型参数，并由最终模型预测了给定切削参数下零件的粗糙度等级。(Establish LibSVM prediction model, grid-based algorithm, particle swarm optimization, genetic algorithm to optimize the parameters of the model, the final model prediction given by the cutting parameters of parts roughness class.)

用于进行声压转换的matlab文件，声压数据来源于ansys软件的计算后导出来的。(Used for sound pressure to convert matlab file, sound pressure data from the calculation software ansys guide out.)

数字信号处理中，几个实验的matlab原代码。(Digital signal processing, Matlab several experiments the original code.)

some use full code for multicolor plot with canny

用于粒子滤波的，讲解详细！初学者可以很容易地看懂！(For the particle filter, and explain in detail! Beginners can easily understand!)

- K means algorithm is performed with different initial centroids in order to get the best clustering. - The total cost is calculated by summing the distance of each point to its cluster centre and then summing over all the clusters.Based on the minimum overall cost achieved during each iteration of iterKMeans the pixel assignment to their respective clusters are made and final compressed image is obtained. This algorithm will run slower as the number of clusters , size of the image and number of iterations increase.

实现爱尔朗分布随机数的产生，用于随机模拟(Generate Erlang distributed random number )

进行逐步线性回归，阐述了负荷预测的应用研究,通过虚拟阵元进行DOA估计，最小均方误差（MMSE）的算法，添加噪声处理，相控阵天线的方向图（切比雪夫加权），直线阵采用切比学夫加权控制主旁瓣比。( Stepwise linear regression, It describes the application of load forecasting, Conducted through virtual array DOA estimation, Minimum mean square error (MMSE) algorithm, Add noise processing, Phased array antenna pattern (Chebyshev weights), Linear array using cut than learning laid upon the right control of the main sidelobe ratio.)