Demo_Broadlearning_MNIST

水果图像的特征提取，毕业设计做的，很实用，只要运行“apple.m”就可以(Multivariate statistical analysis of the source code, written with the basic)

we present an improved fuzzy C-means (FCM) algorithm for image segmentation by introducing a tradeoff weighted fuzzy factor and a kernel metric. The tradeoff weighted fuzzy factor depends on the space distance of all neighboring pixels and their gray-level difference simultaneously. By using this factor, the new algorithm can accurately estimate the damping extent of neighboring pixels. In order to further enhance its robustness to noise and outliers, we introduce a kernel distance measure to its objective function. The new algorithm adaptively determines the kernel parameter by using a fast bandwidth selection rule based on the distance variance of all data points in the collection. Furthermore, the tradeoff weighted fuzzy factor and the kernel distance measure are both parameter free. Experimental results on synthetic and real images show that the new algorithm is effective and efficient, and is relatively independent of this type of noise.

包括三维的基本操作命令，比较全面，值得一看。(Including three-dimensional basic operation command, a more comprehensive, worth a look.)

DO for all points in the minutia vector

说明：  汽车理论 包括制动性 动力性 燃油经济型计算(Automobile theory, including dynamic braking fuel economy calculation)

把三角函数的和 按周期的不同 把需要的周期函数 抽出来 相当于滤波器的作用(The trigonometric functions and the need to press the different cycles of periodic functions to extract the equivalent filter function)

通过学习此程序可以了解相关方面的语言结构，对于编程参考和借鉴有很大的实际意义，肯定有很大的帮助(Chinese verification code)

最小二乘无线信道估计与均衡，产生训练序列，信道估计，mse随信噪比变化曲线 (Least Square channel estimation, MMSE curves,BER chart)

均匀面阵和均匀线阵仿真案例，对于学习阵列信号处理有很大帮助(Uniform linear array and uniform linear array simulation case, for learning array signal processing is very helpful)

小波包变换实际程序，这个是最基本的小波包程序，适合于初学者(packet wavelet)