picture7

说明：  这个方案是非常基本的振幅调制和解调初学者实施。已作出评论。(This program constitutes of very basic amplitude modulation and demodulation implementation for beginners. Comments have been made. )

说明：  实现txt文本中的换行转换，具体是将第二行的文字放到第一行后面(Achieve txt convert text wrap)

这里是通信领域中各种基带信号（非常全，几乎最新的都有），用matlab编写，给出了相应的带宽和功率谱密度，很值得学习通信的看看(Here are the various communications baseband signal (very full, almost all the latest), written with matlab, the corresponding bandwidth and power spectral density, it is worth learning to see communication)

Particle filter implementation. Simple and easy. It used only four particles. But it easy to understand. gook Lucky

KMEANSK Performs K-means clustering given a list of feature vectors and k The argument k indicates the number of clusters you want the data to be divided into. data_vecs (N*R) is the set of R dimensional feature vectors for N data points. Each row in data_vecs gives the R dimensional vector for a single data point. Each column in data_vecs refers to values for a particular feature vector for all the N data points. The output data_idxs is a N*1 vector of integers telling which cluster number a particular data point belongs to. It also outputs centroids which is a k*R matrix, where each rows gives the vector for the cluster center. If we want to segment a color image i into 5 clusters using spacial and color information, we can use this function as follows:

一个三维FDTD的计算程序，比较有用，适合初学者。(A three-dimensional FDTD calculation procedures, more useful for beginners.)

matlab高通滤波器，可以直接在matlab上运行，显示(matlab high-pass filter can be run directly in matlab to show)

UCI 上面的经典数据 UCI 上面的经典数据UCI 上面的经典数据(UCI data)

1．用Matlab产生正弦波,矩形波,以及白噪声信号，并显示各自时域波形图 2．进行FFT变换，显示各自频谱图，其中采样率，频率、数据长度自选 3．做出上述三种信号的均方根图谱,功率图谱,以及对数均方根图谱 4．用IFFT傅立叶反变换恢复信号，并显示恢复的正弦信号时域波形图(1. Produce sine wave, square wave, and the white noise signal with Matlab, and their time-domain waveform display 2. FFT transform, display each spectrum, where the sampling rate, frequency, length optional data 3. RMS to make maps of the three signals, power spectrum, as well as the number of RMS map 4. Restored by inverse Fourier transform IFFT signal and displays the time domain waveforms sinusoidal signal recovery)

System ofdm simulink matlab