Disfrft

this test checks the value of Number.

是初学者运用matlab对FSK仿真的好实例，包括2FSK和4FSK(Is for beginners to use matlab on FSK simulation of a good example, including 2FSK and 4FSK)

关于DSCDMA的仿真，首先对信号调制，然后扩频，接收端解扩解调。包含单用户和多用户下的的误码率曲线。(On the DSCDMA simulation, firstly modulate signals , and then spread spectrum, the receiver de-spread demodulation. Including single-user and multi-user under the BER curve.)

采用matlab编程，实现卷积码的编码与译码(Using matlab programming, coding and decoding convolutional codes)

用快速傅里叶变换实现图像融合，将一个人脸上的妆融合到另一个人脸上(With fast Fu Liye transform image fusion, a person will face makeup into another face.)

汽车整车模型，matlab可运行仿真，内包括整车动力性模块以及发动机变数箱选择模块。档位选择方式根据驱动力及速度联合判断加减档(Automobile model, matlab can run the simulation, including the vehicle power module and the engine variable box selection module. Gear selection mode according to the driving force and speed of the joint judgment and addition and subtraction)

说明：  模式识别作业第411面的源程序，实现交叉验证算法(Pattern recognition operations side of the source 411 to achieve cross-validation algorithm)

exresice of marcel sidi

白色噪声的生成数据,自己编写,可以直接使用(The white noise generated data, write your own, you can directly use)

A general technique for the recovery of signicant image features is presented. The technique is based on the mean shift algorithm, a simple nonparametric pro- cedure for estimating density gradients. Drawbacks of the current methods (including robust clustering) are avoided. Feature space of any nature can be processed, and as an example, color image segmentation is dis- cussed. The segmentation is completely autonomous, only its class is chosen by the user. Thus, the same program can produce a high quality edge image, or pro- vide, by extracting all the signicant colors, a prepro- cessor for content-based query systems. A 512  512 color image is analyzed in less than 10 seconds on a standard workstation. Gray level images are handled as color images having only the lightness coordinate(A general technique for the recovery of sig ni cannot image features is presented. The techni que is based on the mean shift algorithm, a simple nonparametric pro-cedure for estimat ing density gradients. Drawbacks of the curren t methods (including robust clustering) are av oided. Feature space of any nature can be proces sed, and as an example, color image segmentation is dis-cussed. The se gmentation is completely autonomous. only its class is chosen by the user. Thus, the same program can produce a high quality edge image, or pro-vide. by extracting all the signi cannot colors, a prepro- cessor for content-based query syste ms. A 512,512 color image is analyzed in less than 10 seconds on a standard workstation. Gray 4ISR l images are handled as color images having only the lightness c)