resampleX

BPSK与QPSK调制解调系统的Matlab仿真程序； 发送滤波器与接收滤波器均为根升余弦滚降滤波器； 信道噪声为加性高斯白噪声； 绘制BPSK与QPSK调制下的误码率与信噪比曲线图，并与理论曲线进行对比。 (BPSK and QPSK modulation and demodulation systems Matlab simulation program transmit and receive filters are root raised cosine filter roll-off filter channel noise is additive white Gaussian noise draw BER BPSK and QPSK modulation with a letter under noise ratio graph and compare with the theoretical curve.)

Data Acquisition数据获取代码，主要从麦克风获取语音信号，然后real time plot输入信号的时域和频域波形图(Data Acquisition Data acquisition code, mainly for voice signal from the microphone, and then real time plot of the input signal in time domain and frequency domain waveform)

功率谱估计 music算法matlab实现(music algorithm of power spectral estimation and its realization)

遗传算法和模糊C-均值聚类相结合的MATLAB程序(Combination of genetic algorithms and fuzzy C-means clustering MATLAB program)

CDMA业务信道卷积编码实现，根据上下行信道区分生成不同码率的卷积码序列，original_sequence是原始输入序列，channel_select是信道选择参数，其中下行码率为1/2，上行信道为1/3 (CDMA business channel convolutional coding to achieve, according to the distinction between upper and lower line to generate a different channel bit rate of the convolutional code sequence, original_sequence is the original input sequence, channel_select is channel selection parameters, which downlink bit rate of 1/2, upstream channel for the 1/3)

Locality Sensitive Discriminant Analysis

Poincare Index for singular point

功率谱分析，对采集的脑电信号进行分频段，能量的计算(ower spectrum analysis, the collection points and spectrum of eeg signals, the calculation of energy)

这是一个高斯混合模型的源代码,环境是matlab, 高斯混合模型运用于多个方面,在信号处理中应用非常广泛,初学者可以作为参考(This is a Gaussian mixture model of the source code, the environment is matlab, Gaussian mixture model applied to various aspects of signal processing applications in a very wide range of beginners can be used as reference)

The algorithms are coded in a way that makes it trivial to apply them to other problems. Several generic routines for resampling are provided. The derivation and details are presented in: Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas and Eric Wan. The Unscented Particle Filter. Technical report CUED/F-INFENG/TR 380, Cambridge University Department of Engineering, May 2000. After downloading the file, type "tar -xf upf_demos.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "demo_MC" for the demo. (The algorithms are coded in a way that makes it trivial to apply them to other problems. Several generic routines for resampling are provided. The derivation and details are presented in: Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas and Eric Wan. The Unscented Particle Filter. Technical report CUED/F-INFENG/TR 380, Cambridge University Department of Engineering, May 2000. After downloading the file, type "tar-xf upf_demos.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "demo_MC" for the demo. )