WCDMA

lear N = 10^5 EB_NO = [-1:30] liu1 = zeros(1,N) liu2 = zeros(1,N) for ii = 1:length(EB_NO) m= (2*(rand(1,N)>0.5)-1) + j*(2*(rand(1,N)>0.5)-1) s = (1/sqrt(2))*m normalization of energy to 1 n = 1/sqrt(2)*[randn(1,N) + j*randn(1,N)]

混沌时间序列分析及其应用，武汉大学出版，吕金虎等。(Chaotic time series analysis and its applications, Wuhan University Press, the METEOROLOGICAL etc..)

逼近法计算变形的第一类整数阶贝赛尔函数值(Approximation method to calculate the deformation of the first category of integer-order Bessel function values)

现代信号处理中的pisarenko算法，可以进行谱估计(Pisarenko modern signal processing algorithms, spectral estimation can be)

Matlab Code For Iris Recongnisition

This is for histogram equalization

赛车路线分析，解决这个问题时，我们主要是利用多次插值来求得曲线上的点，利用这些点来拟合比赛车道的曲线和选手的速度曲线，画出图像。用M语言并且用坐标平面上的点之间的距离计算公式计算周长L，用梯形法求所围区域的面积。最后根据速度图像来判断路况。(Racing line analysis)

小区初搜为GSM系统中的一个关键过程，本程序为GSM小区初搜过程查找并解广播控制信道bcch的matlab程序，输入数据由采样数据得到，在转换成所需格式后进行处理。若其中包含bcch,则输出找到信息，并通过解调译码等工作解其中信息信息。若没有，则发出错误信息。内付算法详细说明文档(Area early in the search for the GSM system, a key process, the procedures for the GSM cell and the beginning of search process to find solutions BCCH Broadcast Control Channel of matlab procedures, input data from the sampling data, converted into the desired format in the post-treatment. If one includes bcch, while the output to find information and work through the demodulation decoding information in which information solutions. If not, then send a wrong message. Pay the algorithm in detail within the document)

1. 给一段原始的语音信号（可以是自己录制的一段语音），加上一频率为3.8kHz的高频余弦噪声和频率为3.6kHz的高频正弦噪声（幅度自己可以选择），用窗函数设计一滤波器（要求最小阻带衰减为50dB）对加噪后的语音信号进行滤波，画出滤波器的频率响应曲线，画出滤波前后的时域图和频谱图。 需要用到的函数： fir1 用窗函数设计FIR滤波器的函数 2. 用GUI设计一界面（如图1所示）完成如下功能： 1） 输入一语音信号，画出语音信号的时域图和频谱图； 2） 对语音信号加噪处理，画出加噪后的时域图和频谱图； 3） 给定滤波器的性能指标，采用几种不同的方法设计滤波器对加噪信后进行滤波，画出各滤波器的频率响应曲线，画出滤波后的时域图和频谱图。 (1. to some of the original speech signal (which can be a voice you record yourself), plus a cosine frequency of 3.8kHz frequency noise and frequency of 3.6kHz frequency sinusoidal noise (in the range that they can choose), with a window function to design a filter (requires a minimum stop band attenuation is 50dB) after adding noise to the speech signal is filtered, the filter frequency response curve to draw, draw diagrams and time-domain spectrum before and after filtering. Need to use the function: function fir1 with window function design FIR filter design 2. Using a GUI interface (Figure 1) complete the following functions: 1) an input speech signal, the speech signal in the time domain to draw graphs and spectrum 2) adding noise to the speech signal processing, draw diagrams and time-domain plus noise spectrum after 3) to set the filter performance, using several different methods designed to filter letter after adding noise filtering, draw the frequency response curve of each )

这是用身高体重数据进行性别分类的实验。 用最小错误率贝叶斯分类器决策时，首先通过比较概率大小判断一个体重身高二维向量代表的人是男是女，然后再逐一与已知性别的数据比较，就可以得到错误率的统计。然后改变先验概率，重复上面的过程，观察数据结果的变化。 用最小风险贝叶斯分类器决策时，首先求出用最小错误率贝叶斯分类器得到的条件概率；然后根据人为给定的决策表，根据公式算出条件风险；然后逐一比较条件风险，找出使条件风险最小的决策（也就是分类）。最后用分类得到的结果逐一比较已经知道的原始数据，统计处错误率。 (This is the height and weight data for gender classification experiment. With the minimum error rate Bayesian classifier decisions , first by comparing the probability of the size and weight to height to determine a person represented by two-dimensional vector is male or female , and then one by one with known gender data comparison, the statistical error rate can be . Then change the prior probability , repeat the above process , the results of the changes observed data . Bayesian classifier with the minimum risk decision-making , first find the minimum error rate using Bayesian classifier to get the conditional probability then artificially given decision table , according to the formula to calculate conditional risk and then one by one more conditional risk , to find ambassador to the conditions of minimum risk decision making (ie classification) . Finally, the results obtained with the classification by-side comparison of the raw data have been aware of SD error rate . )