chapter27

My demonstration program is coded by MATLAB. For the program, some optimization at coding level and algorithm level are proposed to improve the performance of my fingerprint recognition system. These performance enhancements are shown by experiments conducted upon a variety of fingerprint images. Also, the experiments illustrate the key issues of fingerprint recognition that are consistent with what the available literatures say.

说明：  利用典型的遗传算法程序求解函数或者实际问题最优解(Typical procedures for the use of genetic algorithms to solve practical problems in the function or the optimal solution)

说明：  Good compressive sensing program, using TV recovery, can be a good application in video and image.

it is a code in MATLAB for calculation of bit error ratio vs signal to noise ratio , for multiuser code division multiple access .. usually in any communication system calculation of BER is very important to know the performance of system .. so in this program multiuser CDMA system is used ,, spreading is done using HADAMARD matrix .. or WALSH code .. and BER vs SIGNAL to NOISE ratio graph is computed

DNA限制性图谱的绘制方案程序 ％采用改进的穷举法搜索DNA片段排序，data1,data2是传进来的两组数据，由SPDP法中测得 ％例如data1=[1 14 12 3 7 8 9 6 11 4 12 3 13 2 5 10] data2=[1 1 2 1 2 2 1 2 3] (restrictive map of the DNA mapping program procedures% of the improved method of exhaustion search DNA fragment sequencing, data1, data2 are two groups of Scientology, by the law of 1.0% measured for example data1 = [1 14 12 3 7 8 9 6 11 4 12 3 13 2 5 1 0] data2 = [1 1 2 1 2 2 1 2 3])

黑体辐射光谱与波长关系，前两阶第二类变型贝塞尔曲线，光波导芯层导模的传播常数，啁啾光栅光谱，LP模的归一化辐射曲线(Blackbody radiation spectrum versus wavelength, the former two-stage variant of the second category Bezier curves, optical waveguide core guided mode propagation constant, chirped grating spectrometer, LP mode normalized radiation curve)

matlab实现的PSO优化算法，非常易于使用(matlab implementation of the PSO optimization algorithm, very easy to use)

Adaboost是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器（强分类器）。 load clouds [test_targets, E] = lijsada_boost(patterns, targets, patterns, 100, Stumps ,[]) train_patterns 每列为一样本 train_targets 每列为一样本目标 100 :Number Of Iterations Stumps: Weak Learner Type Learner s parameters :[] adaboost +stumps testRightR = 0.7522(Adaboost is an iterative algorithm)

小波算法，用于对红外光谱或者拉曼光谱数据进行降噪和去背景等处理。(Wavelet algorithm for the Infrared or Raman spectral data to background processing and noise reduction.)

要求使用继电自整定方法对其实施自适应PID控制。 1、选择采样时间0.1s，把对象离散化。 2、加继电（开关）控制，测量对象的Tc,Kc。 3、利用ZIEGLER-NICHOLS 公式表，确定PID参数。 4、实现闭环控制。 5、根据调节效果，修正PID参数。 (Require the use of relay tuning methods for its implementation of the adaptive PID control. 1, select the sampling time 0.1s, the discrete objects. 2, plus relay (switch) control, measurement object Tc, Kc. 3, using ZIEGLER-NICHOLS formula table, determine the PID parameters. 4, closed loop. 5, according to moderating effect, the amendment PID parameters.)