Arkanoid

接收机解调形成的16-QAM符号，通过仿真来估计误符号率(receiver decodes the signal of 16-qam, simulate the ber per signal)

离散频谱校正，采用加hanning窗的能量重心法校正，程序已实际验证(Discrete spectrum correction, correction with adding hanning window energy gravity method, program has been the actual authentication)

很完整经典的多输入多输出正交频分复用技术的联合仿真，用MATLAB 搭建仿真平台，包括个其整个过程，有20个M文件及很多个数据文件，可对MIMOOFDM技术进行全面评估(mimo-ofdm matlab)

近似熵是一种衡量衡量非线性时间序列复杂性的非线性动力学分析方法，其物理意义 为熵值越大，时间序列的自我相似性越低，序 列越复杂，反之序列自我相似性越高；并且样 本熵对于序列长度依赖弱，仅需较短的数据就 能够得到稳健的熵值，同时其计算不需对数据 粗粒化，具有较好的抗干扰能力 (Approximate entropy is a measure to measure the complex nonlinear dynamics of nonlinear time series analysis method, the physical meaning of entropy value is larger, the lower the self-similarity of the time series, the more complex the sequence, whereas sequence of self-similarity the higher and the sample entropy weak dependence for the length of the sequence, only shorter data can be healthy entropy value, calculated without data coarse-grained, with good anti-jamming capability)

conversion binary to c

这是国外用的研究分岔的完整的M程序，很有用，属再版的(This is a study abroad with a complete bifurcation of M procedures, very useful, is a reprint of)

模式识别与智能计算matlab实现的源代码 主要有聚类分析 手写数字分类的实现(pattern Recognition And intelligence computing)

在单目标无杂波环境下，针对二维雷达量测的目标跟踪算法的实例分析。包含了UKF与KF。(An example of a target tracking algorithm for two-dimensional radar measurement in a single target without clutter environment is presented. It contains UKF and KF.)

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):

matlab code for data encryption and decryption using rsa algoritham