part_I

MATLAB工程数学应用讲述了在工程数学中如何使用MATLAB作为研究问题的工具，开发利用。(MATLAB works on mathematical applications in engineering mathematics in how to use MATLAB as a tool for research, development and utilization.)

本文从理论上对LFM-CW 雷达进行了信号分析，并对LFM-CW 雷达的信号 处理方法进行了简单研究，最后通过仿真程序验证了该信号处理方法（距离/多普勒处理） 在计算运动目标距离和速度时的正确性，为LFM-CW 雷达信号处理提供了理论依据。(This paper analyze the signal of LFM-CW radar by theory, and research the signal process method of LFM-CW radar. In the end, this paper validate the signal process method’s correctness to calculate the moving target’s distance and speed by emulate program. This paper offer the theory for the signal process method of LFM-CW radar.)

pid controller, ComputerVision

it will separate the image based on its color

CDMA业务信道卷积编码实现，根据上下行信道区分生成不同码率的卷积码序列，original_sequence是原始输入序列，channel_select是信道选择参数，其中下行码率为1/2，上行信道为1/3 (CDMA business channel convolutional coding to achieve, according to the distinction between upper and lower line to generate a different channel bit rate of the convolutional code sequence, original_sequence is the original input sequence, channel_select is channel selection parameters, which downlink bit rate of 1/2, upstream channel for the 1/3)

利用Newton迭代法求解f(x)=(x-1)(x-2)(x-3)=x3-6x2+11x-6的根(solve the root of function: f(x)=(x-1)(x-2)(x-3)=x3-6x2+11x-6 by using Newton method)

The code is an implementation of the phase-based optical flow algorithm described in Gautama, T. and Van Hulle, M.M. (2002)(The code is an implementation of the phase- based optical flow algorithm described in Gaut Na'ama, and T. Van Hulle, M.M. (2002))

针对信号自适应chirplet分解未知参数多、实现起来比较困难的特点，文献[1]提出了一种新的chirplet分解快速算法。该算法利用计算信号的二次相位函数，得到其能量分布集中于于信号的调频率曲线上的结论，此时通过谱峰检测可同时获得chirplet调频率、时间中心和幅度的估计；然后通过解线性调频技术获得其初始频率和宽度的估计，仿真结果验证了本文算法的有效性。 (For the signal adaptive the chirplet decomposition of unknown parameters to achieve difficult to literature [1] proposed a new fast algorithm for chirplet decomposition. The algorithm makes use of the secondary phase of the calculated signal function, the conclusion focused on energy distribution curve to tune the frequency of the signal by the peak detection chirplet tune frequency, time center and amplitude estimates then by solving chirp technology to obtain the initial frequency and width is estimated that the simulation results demonstrate the effectiveness of the proposed algorithm.)

MATALAB BASEDSIMULATION IN DEC 2013

牛顿方法优化算法可以用于多方面的例子，很不错。(Newton method for optimization algorithm can be used for a wide range of examples, very good.)