1-aplikasi-penjualan

matlab学习资料，一个倒立摆的练习题，适合初学者(matlab learning materials, an inverted pendulum exercises for beginners)

这是21寸定位压合源代码(it s very inportent)

雷达专业的经典教材，书籍雷达数据处理及应用，非常有用(Radar data processing and Application)

CC2530的定时器实验，使用IAR编写。(CC2530 key experiments, using IAR preparation procedures.)

用于实现拉格朗日差值算法，可用于GPS星历计算(For the Lagrange interpolation algorithm, can be used for GPS ephemeris )

matlab fir chebshev LPF

负责火星的一个低轨道空间站的设计。为简化结构，该空间站由一系列密闭的立方体（airtight cubical modules ACM）组成，这些ACM曾连接在一起。困扰你的一个问题是致命的病菌也许留在火星的上层大气中。因为空间站有时需要在上层大气中飞行，所以急需在ACM的各个接触面进行额外的防护，无论是边对边还是面对面，连接是密闭的，所以没有细菌能够进入。一个ACM与另外一个ACM共享的面不需要防护。如果在每个ACM每个面上都加防护，花费巨大。因此，需要知道ACM额外防护的确切面数目(Responsible for the design of a low-orbit space station on Mars. In order to simplify the structure of the space station by a series of closed cubes (airtight cubical modules ACM) composed of these ACM had together. One problem is bothering you deadly germs might stay in the upper atmosphere of Mars. Because the station is sometimes necessary to fly in the upper atmosphere, so urgently needed in all contact surfaces of the ACM additional protection, either face to face or side-to-side, the connection is closed, so no bacteria can enter. An ACM ACM shared with another surface does not need protection. If you have added protection on each side of each ACM, costly. Therefore, the need to know the exact number of additional surface protection ACM)

Bin packing problem belongs to the class of NP-hard problems, like the others that were discussed in previous articles. The task is to pack a set of items of different size into bins of fixed size in such way that minimal number bins is used. Depending on the requirements, bin packing can be single-dimensional (1D) or multi-dimensional (2D, 3D...)

Hidden_Markov_model_for_automatic_speech_recognition This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner (1) and others. Serious students are directed to the sources listed below for a theoretical description of the algorithm. KF Lee (2) offers an especially good tutorial of how to build a speech recognition system using hidden Markov models.

Kernel for All Windows Version make all of them going to die hardware