moment1

说明：  modem.qammod对象实现M-QAM调制器，本示例中M为16。其输入参数是从0到15的整数而不是4bits二进制数据。因此，在利用此对象的modulate方法之前需要对二进制数据序列x进行预处理。特别地, 先采用MATLAB中的reshape函数将x沿着矩阵的行方向重新整理成每行4bit数据，然后应用bi2de函数将4bit数据转换成相应的整数。(modem.qammod object implements M-QAM modulator M in this example is 16. Input parameter is an integer from 0 to 15 instead of 4bits binary data. Therefore, before using the method of this object needs to modulate the binary data sequence x pretreatment. In particular, the first use of MATLAB reshape function x 4bit rearranged into each row of data in the row direction of the matrix, and then apply bi2de 4bit function to convert the data into the corresponding integer.)

PV_MPPT 很好的光伏最大功率跟踪控制(PV_MPPT good photovoltaic maximum power tracking control)

rookit源码 仅供参考学习

输入声音信号，分别在时域和频域计算声压级(Input sound signal, the sound pressure level were calculated in the time domain and frequency domain)

用硬件方式实现的3GPP的turob码的一整套流程!它包括3个不同的程序.其特点有:1.使用3种不同方式下用硬件实现编译码的过程(最优译码方式对比)2.不同交织长度下对性能影响的对比分析3.对1点所说的三种方法进行性能对比!对研究3GPP具有教大的参考价值!(Implemented in hardware mode set of 3GPP the turob code process! It includes three different programs. Its characteristics are: 1. Using 3 different modes with hardware encoding and decoding process (optimal decoding comparison) 2 . different interleaver lengths Comparative Analysis of Performance 3. to the 1:00 performance of the three methods mentioned comparison! research 3GPP has great reference value to teach!)

数控机床DDA法第一象限到第二象限的椭圆插补及图形用户界面，步长可变(CNC machine tools DDA Act ​ ​ the first quadrant to the second quadrant of the ellipse interpolation and graphical user interface, step variable)

The sourcecode of Universally-Convergent Squared-Operator Iteration Methods for fig5 using MSOM

相控阵天线仿真图，采用的是30db切比雪夫加权，matlab格式的(Phased array antenna simulation map, using the weighted Chebyshev 30db, matlab format)

利用matlab写成的窄带噪声发生，高斯白噪声的生成程序，构成不同频率的调制信号。( Using matlab written narrowband noise occurs, Gaussian white noise generator, Constituting the modulated signals of different frequencies.)

m files for SIAM book, Numerical Computing with MATLAB