tongxinxitong

介绍一种有关卫星通信信号的快速盲检测方法(satellite communication signals quick blind detection)

太阳能光伏电池模型 电压 电流 及其输出功率(Solar photovoltaic battery voltage and current model output power)

matlab simulink model for a nine level h bridge inverter

Lithium Battery Cell - One RC-Branch Equivalent Circuit

Newton-Armijo code for scalar equations: Inputs: X = initial iterate, F = function, TOLA = absolute error tolerance, TOLR = relative error tolerance, JDIFF = 0, analytic derivative, syntax: [f,fp]=f(x), JDIFF = 1, forward difference derivative , Output: x=approximate result, HIST = array of iteration history

Cruise for Arduino with Attyni 48

张正友标定算法的matlab程序实现摄像机的内外参数的标定(Zhang Zhengyou calibration algorithm matlab program)

说明：  基于模型预测控制算法做自动驾驶车辆跟踪圆型轨迹例程(Using model predictive control algorithm to track circular trajectory of autonomous vehicle)

Matlab交互式程序设计教程及举例，含有界面截图及详细说明的教学文档。(Matlab interactive programming tutorials and examples, contains screen shots and detailed description of the teaching document.)

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.)