F16model

Visual C++和matlab联合编程的详细代码(Visual C++ And joint programming in detail matlab code)

伪随机码的模糊函数程序，同时画出模糊函数图，零时延，零多普勒以及等高线图(Ambiguity function of pseudo-random code procedures, and plans to draw fuzzy function, zero delay, zero Doppler and the contour map)

这个包实现了ITU - T的G.723.1语音编码器和解码器在Matlab。该方案的目标是提供一个良好的记录和模块化设计方案，实验和研究，以方便使用为基础的实际编码器。 编码器实现了G.723.1的多脉冲模式（在6.3 kb / s的运行）。解码器可以解码的5.3 kb / s的，在6.3 kb的多脉冲/秒，连续传输，数据包丢失隐藏）编码器（所有的ACELP方式。 该编码器和解码器之间的标准接口是位文件（同位文件由ITU - T参考代码产生兼容）。第二个选项之间传递的编码器和解码器使用Matlab的数据信息文件。此选项允许测试通过传递量化或unquantized之间的编码器和解码器的信息。 有报道[1]描述了G.723.1编码与Matlab实现与分布包括在内。 ITU - T建议G.723.1的[2]在线提供。该建议含(This package implements the ITU-T G.723.1 speech coder and decoder in Matlab. The goal of the package is to provide a well-documented and modular program that was designed to facilitate experimentation and research using a practical coder as a base. The coder implements the multipulse mode of G.723.1 (running at 6.3 kb/s). The decoder can decode all modes of the coder (ACELP at 5.3 kb/s, multipulse at 6.3 kb/s, discontinuous-transmission, packet loss concealment). The standard interface between the coder and decoder is a bit file (compatible with the bit files generated by the ITU-T reference code). A second option passes information between the coder and decoder using a Matlab data file. This option allows for testing by passing quantized or unquantized information between the coder and the decoder. A report [1] describing the G.723.1 and the Matlab implementation is included with the distribution. ITU-T Recommendation G.723.1 [2] is available on-line. The recommendation incl)

QPSK Modulation and Demodulation with AWGN , Performance comparision against on BER / EB/NO ratio.

图像处理中SUSAN算子的MATLAB实现，配有测试图片。(image processing SUSAN operator of MATLAB, equipped with the testing picture.)

EKF-SOC估算，用于电池的soc估算(EKF-SOC estimation for battery SOC estimation)

利用Matlab生成二维随机裂隙，控制裂隙密度、倾向、迹长分布函数、均值、标准差(Using MATLAB to generate two-dimensional stochastic fractures and control the density, tendency, trace length distribution function, mean and standard deviation of fractures)

voice recognition in noisy environment Human life could be much more comfortable, if global machinery works on voice commands. There are lot of products available in the market those provide us automated voice controlled working experience. Voice-identification is a kind of technology in which, machine responds to human voice. The goal of this project is to design and implement voice controlled embedded system in noisy environment. The project consists software and hardware design. The software part is to eliminate noise the original signal and develop the speech recognition algorithm (DTW). The hardware is used for speech recognition.

三相永磁同步电机驱动的simlink仿真，可直接运行，也可进行调节(Three-phase permanent magnet synchronous motor drive simlink simulation can be run directly, but also can be adjusted)

MATLAB经典算法程序,包括：数据分析，方程(组)解法，插值、拟合、规划问题，绘图等功能 (Classical algorithm MATLAB program, including: data analysis, equation (group) method, interpolation, fitting, planning, mapping and other functions)