service-2.1

为了客观和定量的评价上述不同融合方法用于多聚焦图像融合的性能，根据图像自身统计特性对其进行评价，在无标准参考图像的情况下选取均清晰度即平均梯度、空间频域、信息熵、标准差四个参数综合评价各方法的融合性能(为了客观和定量的评价上述不同融合方法用于多聚焦图像融合的性能，根据图像自身统计特性对其进行评价[11,18]，本文在无标准参考图像的情况下选取均清晰度即平均梯度、空间频域、信息熵、标准差四个参数综合评价各方法的融合性能)

主要完成ask fsk psk 的matlab调制 还有图形仿真(Main completed the ask fsk psk modulation also graphical simulation matlab)

1.录制一段自己的语音信号,对录制的信号进行采样 画出采样后语音信号的时域波形和频谱图 给定滤波器的性能指标,采matlab设计数字滤波器,并画出滤波器的频率响应 然后用自己设计的滤波器对采集的信号进行滤波,画出滤波后信号的时域波形和频谱,并对滤波前后的信号进行对比,分析信号的变化 回放语音信号。2.(1. Recorded his voice for some signal, the signal is sampled on the record draw sampled speech signal time-domain waveform and frequency spectrum performance for a given filter, mining matlab digital filter design, and draw the filter frequency response then use their own filters designed to filter the collected signals, to draw the filtered time domain waveform and frequency spectrum, and comparing the signal before and after filtering, analysis of signal changes playback of audio signals. 2.)

conversion de matlab vers c++

Description: Matlab examples for a seminar in stochastic simulation: http://www.math.uu.se/~ikaj/courses/matlab/ ############### Installation: After decompressing, run stsimpath.m in the main directory. Alternatively, you may add to your startup.m: addpath( path_to_stsimbm , ... path_to_stsimcounting , ... path_to_stsim anvar , ... path_to_stsim tree, ... path_to_stsimservice , ... path_to_stsimstproc , ... path_to_stsim eletraffic , ... path_to_stsimwaxman ) Any suggestions or comments are welcome.

ofdm发送端和接收端，根据短训练字的特性进行相关运算，进行信号到达检测，当检测到相关值大于门限一定次数后，认为有信号到达。(ofdm sending end and receiving end, according to the characteristics of the short training word correlation operation, the signal reaching the detector, when the detected correlation value is greater than the threshold after a certain number of times that a signal arrives.)

matlab语言实现非线性最小二乘法的曲线拟合LM算法(Matlab language nonlinear least-squares method of curve fitting algorithm LM)

Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value) of each column and row. Then get each row and column that has the maximum number of these black pixels. Then determine the center by simple calculation according to the image coordinate to set it correct on the image, consequently we can determine the radius of the pupil. Thus we can find the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms of circle and ellipse.

bisection , Bi-section

对bpsk信号进行调制，还可以对 qpsk ，16qam信号进行调制(For bpsk signal modulation, can also qpsk, 16qam signal modulation)