daima

说明：  梅花生长仿真效果，使用C++和matlab实现(Plum growth simulation effect, the use of C++ And realize matlab)

两种算法（LMS和RLS）实现CDMA系统盲多用户检测的仿真。结论验证了在加性高斯白招生信道下、同步DS-CDMA系统中接收机应用这两种盲多用户检测算法抑制多址干扰（MAI: multiple access interference）和码间串扰（ISI: inter symbol interference）的能力,仿真实验与理论推导相吻合。实验与理论都表明,RLS性能好于LMS，而LMS计算量明显小于RLS。(This paper discusses two algorithms (LMS and RLS) to achieve blind multiuser detection CDMA system simulation. Conclusion is verified in the Additive White Gaussian noise channel, the synchronous DS-CDMA system receiver applications both blind multiuser detection algorithm to suppress Multiple Access Interference（MAI）and Inter Symbol Interference (ISI) the ability of simulation is consistent with the theoretical. Both experiment and theory show that, RLS’s Performance is better than LMS, and the LMS ‘s computation was significantly less than RLS. )

three-phase model of induction motor

常规波束形成与最小方差法的比较，从而看出两个算法的分辨力高低()

在无线信道的理论基础上，分析了Suzuki信道模型的结构原理，介绍了利用正弦波叠加法构成高斯序列，从而建立Suzuki信道数学模型的方法，并通过Matlab软件对其进行了仿真。(In the theory of radio channel based on the analysis of Suzuki channel model structure principle, describes the use of sine wave superposition method constitutes a Gaussian sequence, thereby establishing a channel model Suzuki method, and through its simulation Matlab software.)

用Matlab实现重叠保留法计算循环卷积的程序实例，课堂上完成的，希望有用(Using Matlab to achieve overlapping reservation method to calculate cyclic convolution procedure example, the completion of the classroom, and I hope useful)

尽管matlab提供了朴素bayes的函数，但要理解朴素bayes还是自己编程实现为好。这是以IRIS数据集为例，用朴素bayes方法分类的程序。(Although matlab Bayes provides a simple function, but to understand the simple Bayes or programming for their own good. This is the IRIS data set as an example, naive Bayes method with a classification procedure.)

项目中所做的ADC的matlab源代码，相信会有用(original matlab source code for ADC from the item i was doing，hoping to be helpful)

sart ct reconstruction using sart. just for simulation. the file type is .7z

序列Lloyd算法，对一个正弦信号数据进行标量量化(Sequence Lloyd algorithm, for a sinusoidal signal data Scalar quantization)