To_plot_the_Rectangular_window_for_filters

考虑两辆车在道路上同向行驶，在O-16s时，两车均保持匀速直线运动，由安装在后车上的车载毫米波雷达检测出与前车的距离为150m，相对速度为-3m/s，方位角 。在16-20s时，前车向右偏转，与后车的相对角加速度为 。后车加速，与前车的纵向相对加速度为 。雷达的扫描周期为T=0.1s，系统噪声为 ， 。量测误差为 。(Consider the two cars traveling the same direction on the road, in the O-16s, the two vehicles are kept uniform linear motion, installed in the vehicle after the car millimeter wave radar to detect the distance of the vehicle in front 150m, the relative speed- 3m/s, Azimuth. In the 16-20s, the first car to the right deflection, and the relative angular acceleration after the car is. After the vehicle acceleration, relative to the vehicle in front of the vertical acceleration. Radar scan period T = 0.1s, the system noise. Measurement error.)

说明：  每个传感器具有一定的范围和精度，而且周围环境可能对它们产生干扰。即单传感器只能提供部分不精确的信息，从而不能排除对外界环境描述的歧义性。鉴于各传感器性能上的差异表现出的互补性，如果综合各个传感器的信息，就能得到比单一传感器所能提供的更准确可靠的信息。简言之，与单一传感器相比，多传感器数据融合由于信息的冗余性和互补性存在很多方面的优势。 多传感器融合(Each sensor has a certain range and accuracy, and the surrounding environment may interfere with them. That is to say, a single sensor can only provide some inaccurate information, so it can not rule out the ambiguity of the description of the external environment. In view of the complementarity of the differences in the performance of each sensor, if we synthesize the information of each sensor, we can get more accurate and reliable information than a single sensor can provide. In short, compared with a single sensor, multi-sensor data fusion has many advantages due to the redundancy and complementarity of information.)

人工鱼群算法 自己编写 经过测试 适合初学者(AFSA write yourself tested for beginners)

一个指纹识别的MATLAB程序！！！推荐～(a fingerprint identification MATLAB! ! ! Suggest ~ )

this is my model and I m here to check that it s right and verify it.

这里上传的是：matlab语音信号分析与合成（第2版）程序，希望对大家有用。(Here is uploaded: Matlab voice signal analysis and synthesis (Second Edition) program, I hope to be useful to all of you.)

separate mental tasks of EEG file

OFDM 同步算法的描述 和源代码包括信道说明 和 各种参数的定义(OFDM synchronization algorithm description and source code including the channel description and definition of various parameters)

说明：  psat5节点模型，包含故障类型，母线故障以及支路故障(psat5 node model, including fault type, bus fault and fault slip)

java中调用matlab函数的例子，大家可以参考看看如何实现的。(java Calling Matlab function examples, we can see how the reference to the case.)