powell

Turbo码性能仿真源程序信道编码方面的(Turbo code performance simulation source channel coding of)

fft算法的具体实现，应用基2法实现，有比较好的实验结果。(fft concrete realization of the algorithm, the application base 2 method achieved a relatively good results.)

说明：  有现成的matlab仿真实例，教你如何使用matlab建无线通信模型(Matlab simulation are ready to teach you how to build the wireless communication model matlab)

说明：  有关于混沌系统的特性的一些仿真程序，试过的，可以正确运行，希望大家能够交流。(About some of the characteristics of chaotic system simulation program, tried, and can be run properly, I hope we can exchange.)

说明：  matlab函数的一个例子！！就是描述扩展卡尔曼滤波的一个MATLAB算法。(this is an example about ekf!extended kalman filter algorithms applied matlab)

sobel和prewitt測邊的相關做法，sobel是一種high pass 處理，可將圖中的輪廓顯示出來(sobel edge measurement and prewitt related practices, sobel is a high pass processing, the outline of the figure can be displayed)

generate frequency hopping and lfm signal and study auto corrleation and cross corrleation properties

First a estimate of wireless sensor nodes is made and a network mesh will be created based on some topology techniques. A connection has to be established between Node I and all the vicinity nodes.

仿真比较4QAM和4FSK调制信号在瑞利衰落信道下的误符号率和误比特率性能(Simulation comparison 4QAM and 4FSK modulated signals in Rayleigh fading channels under the symbol error rate and bit error rate performance)

一种基于红外图像分层处理及动态压缩的 DDE 算法。该算法先将原始14bits 红外图像数据信息中的大动态低频背景和小动态高频细节进行分离提取，并分别对提取的细节层和背景层进行相应的灰度增强和灰度抑制处理，再调整和压缩各图层的动态范围并最终合成 8bits图 像。实验结果表明，该算法能较好地保留并突出原始红外图像中的边缘和细节信息，达到了预期设计的目标。 (put forward a DDE algorithm based on hierarchical processing and dynamic compression of infrared image． At first，this algorithm dissociates the background ( with wide dynamic and low frequency) and the detail ( with narrow dynamic and high frequency) in the data information ( 14 bits) of original infrared image，and pick up them respectively． Then，it enhances the gray of details layer and restrains the gray of background layer，and readjusts and compresses dynamic range of each layer． Finally，it composites output image ( 8 bits) ． The experimental results show that the proposed algorithm can retain detail information and edges in original infrared image and carry the purpose of design． )