modulate-ask

matlab教程，matlab参考书，学习matlab必备啊！(matlab for study.)

放在matlab里运行，可以演奏《kiss the rain》嘿嘿嘿~ 今天看到有大神用matlab弹奏卡农，我好激动呀，于是。。。（感谢XBC童鞋提出的建议，《kiss the rain》,话说这个曲子好难啊。。。）我鼓捣了一个下午，在前面这个牛程序的基础上，修改了好久（无数次维数出错，以及其他不易察觉的小问题），终于把《kiss the rain》的曲子鼓捣出来了。。。。。。 因为使用的是简谱，而且这首曲子的音域实在太宽了（从下面打三点的到上面打三点的都有，虽然可以编写出程序。。。但是太痛苦了啊。。。）,所以第二声部的有很多我都没有按照原本的谱子来编程，不过这也算一种再创作了哈？~【你明明就是偷懒啊喂】大家随便听听就好，如果有制作其他曲子的建议也欢迎提出哈，等我考完试做完功课写完材料【未知的某个世纪】就可以多做一些了~ 其实程序的原理我还一知半解【CANON的制作者牛掰惨了啊~】，只知道大概就是频率啊周期啊神马的，但是这对制作曲子的影响不大，大家有兴趣也可以做呀，除了眼睛有点花以外。。。真心是特别有趣呢~~~ 对了，有些语句是可以去除的，只不过我没有删，对运行是没有影响的哈~ (It can play KISS THE RAIN song)

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.)

模糊数学MATLAB工具箱，数学建模工具，运用MATLAB解决数学建模之中的模糊数学分析等问题。(MATLAB fuzzy toolbox, mathematical modeling tools, the use of MATLAB to solve mathematical modeling of the fuzzy mathematical analysis and so on.)

MULTIDIMENSIONAL SCALING in matlab by Mark Steyvers 1999 ％needs optimization toolbox ％Modified by Bruce Land ％--Data via globals to anaylsis programs ％--3D plotting with color coded groups ％--Mapping of MDS space to spike train temporal profiles as described in ％Aronov, et.al. "Neural coding of spatial phase in V1 of the Macaque" in ％press J. Neurophysiology(MULTIDIMENSIONAL SCALING in Matlab by Mar 1999% k Steyvers needs optimization toolbox% M odified by Bruce Land%-- Data via globals to ana ylsis programs%-- 3D plotting with color coded groups%-- Mapping of MDS space to spike train te mporal profiles as described in% Aronov, et.al. "Neural coding of spatial phase in V1 of t he Macaque "in press J. Neurophysiology%)

利用MATLAB实现线性卷积的自编函数clconv()，通过实例验证及仿真结果，验证了clconv()函数的有效性。(Self-function using MATLAB linear convolution clconv (), verified by an example and simulation results verify clconv () function validity.)

利用matlab，产生具有三个频率的跳频信号(the generation of jump-frequency signal)

monte carlo localization citated

Digital communication

根据M序列的产生原理，利用MATLAB编程实现4阶、6阶及任意阶M序列的产生(M sequence generated in accordance with the principle of the use of MATLAB Programming 4 bands, 6 bands and arbitrary selection of sequence-order M )