kanggongji

aloha protocol- matlab simulation

逻辑回归实现线性分类器，文件中的readme.txt可以看到使用方法。 具体使用就是通过data.txt读入数据（默认2维数据，分为正反两类。）然后用matlab运行solve.m即可得到分类线、分类准确率。(a matlab source code for Logistic Regression. Datas in data.txt are of 2dimension and 2 types. run solve.m in matlab software to get the accuracy and the plot result.)

This program counts the occurrence of specified patterns in the input strands and produces a report for each pattern. The first input to this program will be an integer indicating how many patterns will be provided (call this N). The next N words to this program will be patterns of nucleobases to search for. Following the patterns will be a sequence of strands terminated by the word "end" as before.

经典的莫泰识别分析软件 diamond,在matlab平台下(diamond matlab toolbox)

direct spread spectrum

DFT进行频谱分析时的三种现象 1、混叠：对连续信号采样，要求连续信号是带限的，采样频率要足够高。Fs应满足Nyquist采样定理才不产生混叠。 采样前加低通滤波器防混叠 2、频谱泄漏：DFT对时域信号进行了截断（相当于采样信号乘了一个窗函数），时域的乘积相当于频域卷积，改变了原信号频谱。 改用其他窗函数（非矩形）改善泄漏。 3、栅栏现象：DFT 只给出了频谱在采样点上的取值，采样点间的频谱内容丢失。(DFT spectrum analysis of a three phenomena, aliasing : continuous signal sampling, requiring continuous signal is band-limited, the sampling frequency should be high enough. Fs meet the Nyquist Sampling Theorem would not have aliasing. Sampling former low-pass filter plus anti-aliasing 2, spectrum leakage : DFT right time domain signal a disconnect (equivalent to a sampling signal by a window function). time domain is equivalent to the product of frequency-domain convolution, changes in the spectrum of the original signal. Window functions to switch to other (non-rectangular) to improve leakage. 3, fenced phenomenon : DFT spectrum is given only at the sampling point value, sampling points of the spectrum as lost.)

the graphs where you can find how the function looks like - sinus

说明：  神经网络滑膜变结构控制MATLAB和simulink仿真程序。(Variable structure neural network control of synovial MATLAB and simulink simulation program.)

说明：  matab实验讲义，呵呵 这是我收藏的学习资料(matab experiment handouts)

OFDM系统中限幅降低峰值与平均功率比的matlab实现，可以直接运行，会有点慢(OFDM system, limiting the peak to average power ratio reduction of the matlab implementation, can run a bit slow)