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matlab图像处理实例详解chap14——基于simulink的视频和图像处理(matlab image processing examples explain chap14- simulink-based video and image processing)

第一步是计算输人信号单边功率谱密度（ESD）。使用快 ％速傅里叶（FFr）算法将信号从时域转换到频域。因为FFr算法的输出是离散谱，而这 ％里我们需要的是连续谱，因此需要引人不同的比例因子来实现从离散谱到连续谱的转换。 ％在第二步中，我们利用迭代算法计算出相对于特定阂值的ESD的最高和最低频率，从而 ％估算出被检测信号所占用的带宽。这种算法同时适用于基带信号和已调制信号。最后， ％在第三步中，我们给出了输出图形的原代码。(The first step is calculating the input signal unilateral power spectral density (ESD). The use of fast Fourier speed (FFr) algorithm for the signal conversion from time domain to frequency domain. FFR algorithm because the output is a discrete spectrum, which we need is a continuous spectrum, so the need for food of different scale factor to achieve from the discrete spectrum to continuous spectrum conversion. In the second step, we use iterative algorithm to calculate a specific threshold in relation to the ESD of the highest and lowest frequency, thus estimated to be occupied by the signal detection bandwidth. This algorithm applies to both baseband signal and modulation signals. Finally, in the third step, we give the graphical output of the original code.)

simple api source code using matlab

本文件算出闭合曲线图形的面积是根据像素点来的(Closed curves calculated in this document is based on the size of graphics to the pixel)

ofdm的调制，希望大家好好学习，天天向上，努力提高自己(ofdm modulation, I hope you study hard, every day, strive to improve their)

说明：  这个是编的BP神经网络的程序，对于初学神经网络的人有很好的借鉴(This is a series of BP neural network program, for the beginner neural network is a good reference)

Isomap通过“改造一种原本适用于欧氏空间的算法”，达到了“将流形映射到一个欧氏空间”的目的。(Isomap achieved the goal of "mapping manifolds to an Euclidean space" by "reforming an algorithm that was originally suitable for Euclidean space".)

关于合成孔径雷达成像的非常好的论文。原理分析清楚详细，易懂(On synthetic aperture radar imaging of very good papers. Principles of clear and detailed, easy to understand)

实现了QPSK在瑞利信道下的性能仿真,仿真结果与理论曲线相比较，结果相符。供大家参考。(It achieved the simulation of QPSK performance in Rayleigh channel.)

本文中介绍了matlabpdetool在求解偏微分方程中的应用，不错的入门资料(This article introduces the matlabpdetool in solving partial differential equations in the application of good introductory information)