MatlPDDocumentation

8PSK modulation type generation

matlab数字图像处理中值滤波，希望对大家有帮助(matlab digital image processing, median filter, we would like to help)

For loop fpga testing

MATLAB PROGRAM FOR FULL WAFE RECTIFIER

。并行级联LDPC码是由多个码率不同的子码，经并行级联后得到的码率可变的LDPC码。本文提出了基于 并行级联LDPC码的递增冗余HARQ方案，给出了这种方案的吞吐量性能封闭解。在AwGN信道和Rayleigh衰落信 道下，通过仿真将新方案的性能和随机LDPC码的性能进行了比较。结果显示，并行级联LDPC码的递增冗余HARQ 方案性能接近随机LDPc码，但编、译码更简单，参数选择范围更广。(. Parallel Concatenated LDPC code is different by a plurality of bit-rate sub-code, the LDPC code rate is variable obtained after parallel concatenation. In this paper, the incremental redundancy HARQ scheme based on parallel concatenated LDPC codes, the throughput performance of this program is given closed-form solution. In AwGN channel and Rayleigh fading channels through simulation, the performance of the performance of the new program and random LDPC codes are compared. The results show that the parallel concatenated LDPC codes incremental redundancy HARQ scheme performance close to the random LDPc code, but compiled more simple decoding a wider range of parameter selection.)

说明：  利用DACE工具箱中高斯过程做全局优化,适用于复杂非线性模型(Surrogate model optimization algorithm for computationally expensive global optimization problems)

WLAN设备的传播损耗计算模型，主要是指以下：Devasirvatham模型，也称为线性路径衰减模型，可用于各种建筑材料2.4G电磁穿透损耗的经验衰减因子模型信号的穿透损耗在这个阶段。(Both WLAN propagation loss calculation model is mainly refer to the following: Devasirvatham model, also known as a linear path attenuation model, the attenuation factor model signal penetration loss at this stage are available for a variety of building materials 2.4G electromagnetic penetration loss experience.)

Maltlab DAQ example code

成像处理一般包括三个步骤：1、距离向脉冲压缩，对一个合成孔径内的每个回波脉冲均进行压缩；2、距离徙动矫正，把属于同一点目标的脉冲校正到等距离线上、3、方位向脉冲压缩。(Imaging process generally comprises three steps: a distance to the pulse compression of echo pulses each have an inner aperture compression 2, range migration correction, the pulses belonging to the same point in the correction target line equidistant , 3, azimuth compression to pulse.)

高斯混合模型参数估计,EM算法,sunMOG.m为函数,testMOG4.m为测试程序(Gaussian mixture model parameter estimation, EM algorithm, sunMOG.m for the function, testMOG4.m for the test procedure)