LFMCW

该文件件包含一篇英文文献，还有针对该文献进行的程序仿真，实现的主要功能是对图像进行加密的算法。(The file contains a document in English literature, there are procedures for the simulation of the literature, the main function is to image encryption algorithm.)

说明：  基于matlab的图像k均值算法，实现对一副彩色图像进行分割。(Matlab image based on k means algorithm, to realize a color image segmentation.)

用matlab实现IIR滤波器的仿真，得到其辐频特性和相频特性曲线。(IIR filter implementation using matlab simulation, the radiation frequency characteristics and phase-frequency characteristic curve.)

Design of low density parity check codes for modulation and detection

The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):

产生64QAM基带通信系统发射机：基带成型滤波采用3种方式（1）采用每个符号调制一个成型滤波函数，然后将各个函数进行时域叠加的方法； （2）采用信号与低通滤波器响应函数卷积的方法；（3） matlab自带的升余弦函数(Produce 64QAM baseband communication system transmitter: baseband shaping filter uses three ways (1) the use of a molding each symbol modulation filter function, and then each time domain overlay function (2) the use of signals and low-pass filter response function convolution method (3) matlab comes with a raised cosine function)

A function to genetare a secuence of states based on the hidden marckov models

可见光通信中，采用OOKNRZ调制方式时的系统误码率，自己跑过，没问题的。(BER of OOKNRZ in visible light communication system)

用相似性方法做的特征点的匹配，比较了SSD与SAD方法的各自效果。(feature points matching method used by the similarity, and comparing the respective effects of the SSD and SAD methods.)

说明：  matlab的图像命令，，有详尽的函数说明，，便于查询(matlab image order, a detailed function description, easy to check)