Simple_SLAM

利用pcnn，每当有一批像素对应的神经元点火，对像素值进行一次修正。第n次点火的所有神经元用矩阵B（n）表示， 已经点火的像素位置标记为‘1’，未点火的标记为‘0’。通过一个3*3的模板滑过B（n），判断若模板内的值全为‘1’或全为‘0’， 则这些像素值不进行处理，否则若模板中心的值为‘1’，则增加该位置的像素值的大小，中心值为‘0’，则减小像素值。该功能由xiugai(B,K)函数实现 Beta取负值来抑制周围的神经元点火，因为输入pcnn（X）的是模糊图像，抑制之后使处理的像素值更加接近原图像的像素值（抑制参数通过试验确定，并不精确） 总之运行结果只是对像素值变化较大的边缘区域进行了像素值的修正。 通过不断调整参数使峰值信噪比有所升高，但是升高得不是太多(Use pcnn, whenever a group of pixels corresponding to the firing of neurons, a correction value for the pixel. Ignition of all the n-th neuron matrix B (n) represents, Already ignition pixel position labeled 1 , unfired labeled 0 . By a 3* 3 templates over the B (n), determines if the value within the template are all 1 or all 0 , These pixel values are not processed, otherwise the value if the template center 1 , then the increase in the size of the pixel values of the position, the center value of 0 , the pixel value is reduced. This function is implemented by xiugai (B, K) function Beta is a negative value around the element to inhibit neuronal firing, because the input pcnn (X) is a blurred image, the pixel values of inhibition after treatment of the pixel value closer to an original image (suppression parameter determined by experiment, is not exact) Results only in short run large changes in the edge region of the pixel values of the corrected pixel values. )

高铁信道模型Qianliu模型仿真,自相关函数与clarke模型自相关函数的比较(Qianliu channel model for high-speed railway compared with Clarke s correlated function)

matlab GUI编辑的很好讲解，对初学者很有帮助的文档(matlab GUI，helpful to the newer)

粒子群函数优化算法，用粒子群算法对函数进行优化，解决求极值问题(Particle swarm optimization function, a function of the particle swarm optimization algorithm to solve the problem for extreme)

This source code describes the OFDM transmitted waveform at the transmitter both in frequency as well as time domain

用C语言编写的IEEE39节电系统潮流计算程序，用于matlab(IEEE39 power system computer program by C language, for matlab)

matlab计算声子晶体频响函数源代码，附计算数据案例(The matlab calculation of phononic crystal frequency response function source code, with the calculated data case)

以实际模型为例，使用matlab分析测量数据并拟合，根据拟合结果预测未来数据。(The actual model, for example, using matlab analysis of measurement data and fit, according to the fitting results to predict future data.)

jake模型，MIMO以及不同场景的相关参数下不同信噪比下的误码率仿真(BER simulation under different SNR jake model, MIMO and related parameters for different scenarios)

利用matlab函数编写GUI界面设计，对于其步骤，以及相应的函数做出具体说明。(Using matlab function to write GUI interface design, for its steps, and the corresponding function to make specific instructions.)