point-alignment

《MATLAB及在电子信息课程中的应用》一书中所有例题和习题的MATLAB源程序(MATLAB and electronic information in the application of the curriculum," a book of all the MATLAB examples and exercises source)

matlab的高阶谱工具箱 内有说明 有兴趣的朋友可以参考(matlab toolbox containing high-level spectrum shows friends who are interested can refer to the)

说明：  关于ofdm 迭代限幅滤波法的matlab仿真程序(Iterative clipping on ofdm matlab simulation program filtering method)

双极性二进制基带传输系统的仿真和误码性能验证 ①．发送信号的星座图，发送和接收信号的波形，不同信噪比情况下，接收信号的星座图 ②．画出无信道编码时，误比特率的理论曲线和仿真曲线，以及有信道编码时误比特率的仿真曲线 ③．解释以上获得的各种结果的合理性 ④．选做：选用不同纠错能力的信道编码方法，比较信道译码后的误码率(Simulation and Error Performance Verification of Bipolar Binary Baseband Transmission System (1) Constellation diagram of transmitted signal, waveform of transmitted and received signal, constellation diagram of received signal under different signal-to-noise ratio (2) Draw the theoretical and simulation curves of BER without channel coding and the simulation curves of BER with channel coding. (3) Explain the rationality of the results obtained above. (4) Choose: Choose channel coding methods with different error-correcting abilities to compare the bit error rate after channel decoding.)

2D_ watermarking source image to wartermarking image

这是在计算偏微分方程时遇到离散扩散系数时的程序，很有效。(This is the calculation of partial differential equations encountered discrete diffusion coefficient of procedures, very effective.)

说明：  基于压缩感知思想的图像分块压缩与重构方法 考虑到大多数图像信号信息分布有差异, 编码端, 在对图像分块的基础上, 融合熵估计 和边缘检测方法计算各图像块的信息含量, 再从两个不同的角度进行分类采样: 依据信息量多少将图像块分为平滑、过渡和纹理3 类, 使用不同的采样率采样 依据信息量的分布特征, 采用不同的采样率分配策略进行采样. 在解码端, 根据不同类型的图像块构造不同的线性算子进行重构, 再运用改 进的迭代阈值算法去除块效应和噪声. 实验证明, 算法在提升图像重构质量的同时缩短了重构时间,并且对纹理边缘多的图像的重构效果较其他方法理想.(Considering that most information of the image signal difference distribution, the encoding side, in the right image sub-blocks based on the integration entropy estimation And edge detection method for calculating the information content of each image block, and two different angles classification sampling: The number of image blocks based on the amount of information into a smooth, transition and texture three classes, using different sampling rates based on the amount of information distribution characteristics, using different sampling sampling rate allocation strategy. in the decoding side, depending on the type of image blocks to construct different linear operator reconstructed, re-use change Iterative thresholding algorithm into blockiness and noise removal experiments show image reconstruction algorithm to enhance the quality while reducing reconfiguration time, and much of the texture edge image reconstruction results are satisfactory compared to other methods.)

source code contains information about noise removal medical images using different algotithms like inteeligent water drop algorithm, median filter and wavelet filters denoising. this source code has all parameter analysis like psnr,epi

说明：  BESS通常用于负载均衡，调峰，负载转移应用等。 此BESS块从工作空间获取每小时负载曲线（kW）输入，并计算电网和电池使用量输出到工作空间。 必须以两列格式准备负载配置文件，其中第一列是从一天的0小时开始的时间。第二列是以kW为单位的功耗。（例如，将SampleLoadProfile.mat加载到工作空间中）。 模拟运行时间是从一天的0小时开始的每小时单位。例如，为了模拟24小时负载配置文件，模拟运行时间设置为23，一周运行时间设置为167，一个月30天运行时间设置为719和31天运行时间设置为743。 在“求解器”选项下的模型配置参数中，设置为固定步长类型并将固定步长（基本采样时间）设置为1并运行模拟。(BESS are commonly used for load leveling, peak shaving, load shifting applications and etc. This BESS Block takes hourly Load Profile (kW) input from workspace and compute the Grid and Battery usage output to workspace. The load profile has to be prepared in two column format, where the first column is time starting from 0 hour of the day. The second column is power consumption in kW unit. (For example, load the SampleLoadProfile.mat into workspace). The simulation run time is in hourly unit starting from 0 hour of the day. For example to simulate a 24 hours load profile, the simulation run time is set to 23, one week run time is set to 167, one month 30 days run time is set to 719 and 31 days run time set to 743. In model configuration parameters under Solver options, set to fixed-step type and set the fixed-step size (fundamental sample time) to 1 and run the simulation.)

说明：  一种用于生成二维数据分布图形的函数,在观察大数据量的数据集合是很有效.(A function to plot the distribution of 2-dimensional data)