coherence-cube - 001

ESPRIT是“Estimating signal parameters viarotational invariance techniques”的缩写，含义是“借助旋转不变技术估计信号参数”，它是由Roy[221等人于1986年提出的另一种基于子空间的DOA估计方法。 应用领域 　　侧向定位 信号处理 思想 　　ESPRIT的思想在于，将传感器阵列分解为两个完全相同的子阵列，两个子阵中每两个相对应的阵元具有相同的平移，即要求阵列具有平移不变性，每两个位移相同的阵元匹配成对。所幸的是实际中许多阵列满足这个条件，比如等距直线阵。(ESPRIT is "Estimating signal parameters viarotational invariance techniques" acronym, meaning "With ESPRIT estimation of signal parameters", it is by Roy [221, who in 1986 proposed DOA estimation method based on subspace another. Applications Lateral positioning signal processing Thinking ESPRIT thinking that the sensor array is divided into two identical sub-arrays, each of the two sub-arrays of two corresponding array element has the same translation, which requires an array with translation invariance, the displacement of each of the two identical arrays yuan matching pairs. Fortunately, many of the actual array satisfy this condition, such as equidistant linear array.)

说明：  粒子滤波，用于对衰退数据的衰退模型的预测，同时也适用于状态跟踪 - 3(particle filter)

基于matlab的色散程序仿真模拟的程序(failed to translate)

Function to give all combination of given input

生成数字信号处理课程常用信号：冲激、阶跃、斜坡、正弦、复指数和指数信号，幅度长度时延频率相位可控。(Signal generation, capable of generating pulse, step, ramp, sine, complex sine and exponent signals.)

PDEPLOT 通用偏微分方程工具箱功能。(Toolbox PDEPLOT common feature of partial differential equations.)

风力发电机组功率曲线画图程序,准备10分钟机组运行数据，对程序中的读取数据的语句进行改正，便可调试使用(wind turbin power curve)

雷达回波信号的高精度一维距离像分析，功能较完整，适合初学者(the high-resolution range profile analysis of radar echos, which is complete and is suitable for beginners)

在matlab的ui里创建滑动组件,具有交互式文件编辑框，标签等多种功能。(Creates a slider in a separate uipanel, with an associated interactive EditBox, and left and right labels showing the minimum and maximum values of the slider, respectively.Moving the slider automatically updates the textbox, and vice versa. Both slider movement and text edits will trigger (non-recursively) the callback of the slider.)

说明：  功率谱 welch 方法 there is a simple demo for non parameteric spectral estimation methods(Welch method of power spectrum there is a simple demo for non parameteric spectral estimation methods)