Romberg

texture in image processing

神经网络BP辨识的Matlab算法，用于辨别复杂的非线性系统(Identification of the Matlab neural network BP algorithm, used to identify the complex nonlinear systems)

本程序是俄罗斯方块matlab版本，完成基本的功能，运行成功(matlab test simulation)

改进后的离散粒子群算法，支持多种寻优解决方案(The improved discrete particle swarm optimization (pso), support for multiple optimal solutions)

说明 cloudPlot将有助于形象化的一个二维数据集的分布。这是特别有用当在非常大的数据集凡redular阴谋（的x，y, . )只是填充纯色的情节，因为测量点重叠看着对方。 cloudPlot使用内置的例程在MATLAB中轴线设置限制，并适当格点的数据。 MATLAB的释放MATLAB的7.7（R2008b） (Description cloudPlot will help visualize the distribution of a 2-dimensional dataset. It is especially helpful when looking at extremely large datasets where a redular plot(x,y, . ) will just fill the plot with a solid color because the measurement points overlap each other. cloudPlot uses the built-in matlab routines to set the axis limits and grid points appropriate to the data. MATLAB release MATLAB 7.7 (R2008b))

Matlab image processing study notes provide Fourier transform image processing code

二次多项式拟合大地水准面，采用matlab编写的，关于拟合出来的图像感觉有些问题。。希望大家指正(Quadratic polynomial fitting geoid, using matlab prepared some questions about the fitting out of the picture feel. . I hope you correct)

basic4ppc最新帮助，参考书籍，可以快速开发PPC软件(basic4ppc the latest help, reference books, you can quickly develop PPC Software)

 产生长度为1000的标准正太分布的随机信号，画出时域波形及频谱；  采用u=255的非均匀PCM编码，每符号为8bit，画输入-输出关系图；  计算信号量化噪声比（SQNR）；  信道误码率为10-3；  解码，并画出u律反变换后的信号时域波形及频谱。 扩展要求：  采用均匀PCM、量化级数可变、信道误码率可变。 ( have a standard length of 1000 is too random signal distribution, draw time-domain waveform and frequency spectrum  u = 255 using the non-uniform PCM encoding, each symbol for 8bit, drawing input- output relationship diagram  calculated quantization noise signal than (SQNR)  channel bit error rate of 10-3  decoder, and law to draw u the signal after the inverse transform time-domain waveform and frequency spectrum. Expansion of the requirements:  uniform PCM, quantization level variable, a variable channel bit error rate.)

qam modulation is done using simulink model in this document. hope u get knowledge