tuxiangfuyuan

good example of rao-blackwellised paritical filters

UWB无线技术的调制解调技术的Matlab仿真的参数设置程序(UWB wireless technology, modem technology Matlab simulation parameters setup program)

一个很好用的图像GHM多小波变换程序,实现一阶变换(a very easy function for GHM，can do first GHM transform.)

this is a matlab file for antenna array model used in array antenna system

录制自己的一段语音，时间控制在15秒到30秒左右；利用wavread函数对自己的语音进行采样，记住采样频率。 （1）画出原始语音信号的时域波形，而后以1秒为间隔，求出每秒数据的功率谱。 （2）根据语音信号特点，分别设计FIR及IIR滤波器，分别画出滤波器幅频和相频特性曲线。用设计的滤波器对信号滤波，画出滤波后时域波形。用sound函数回放语音信号。 （3）求出特征频段语音信号随时间变化的曲线（每间隔0.05秒求一次功率谱）。 (Record your own voice for some time (15 seconds to 30 seconds) use wavread function of the voice samples, remember the sampling frequency. (1) Draw the original speech signal in time domain waveform, and then to 1 second intervals, the data obtained power spectrum per second. (2) According to the voice signal characteristics, FIR and IIR filters were designed, namely to draw the amplitude and phase frequency characteristic curve. With the design of the filters on the signal filtering, to draw the filtered time-domain waveform. Playback with sound function of the speech signal. (3) Find the characteristic band speech signal curve over time (0.05 seconds intervals seeking a power spectrum.))

LFM信号脉冲压缩，包括线性调频信号的产生和匹配滤波。(pulse compression of LFM signal，include LFM signal creation and match filter design。)

自适应谱线增强 从噪声信号中消噪得到有用信号(Adaptive Line Enhancer (ALEThe goal is to remove the noise signal from the measured signal to obtain the signal of interest. )

说明：  这是我找到的一个运用神经网络的实例，希望对大家有用。(This is what I found one instance of the use of neural networks and hope for all of us.)

FIR与IIR滤波器在DSP上的实现.　　　DSP是利用计算机或专用DSP处理器，以数字形式对信号进行采集、变换、滤波、估值、增强、压缩、识别等处理，以得到符合人们需要的信号形式。FIR(Finite Impulse Response)滤波器：有限长单位冲激响应滤波器，又称为非递归型滤波器，是数字信号处理系统中最基本的元件，它可以在保证任意幅频特性的同时具有严格的线性相频特性，同时其单位抽样响应是有限长的，因而滤波器是稳定的系统。(FIR and IIR filter is implemented on the DSP. DSP is the use of a computer or a dedicated DSP processor in digital form to the signal acquisition, conversion, filtering, valuation, enhancement, compression, recognition processing needs of the people to give signal form. FIR (Finite Impulse Response) filter: finite impulse response filter units, also known as non-recursive filters, digital signal processing system is the most basic element, it can guarantee any amplitude-frequency characteristics of both a strict linear phase-frequency characteristics, while the unit sampling response is of finite length, and thus the filter is stable system.)

Monte Carlo Markov Chain (MCMC)