资源列表
DSP10
- 数字信号处理的一些MATLAB源程序，均已经通过编译、仿真，请放心下载使用。-digital signal processing some of MATLAB source, we have already passed compiler, simulation, Please be assured download for use.
DSP11
- 数字信号处理中的一些matlab源程序。-digital signal processing some of the Matlab source.
DSP12
- 数字信号处理中的一些matlab源程序。-digital signal processing some of the Matlab source.
tuous
- 我编写的利用trous（多孔算法）实现小波变换，利用‘db4’小波函数分解两层，其中卷积运算采用频域的fft算法，给出了仿真信号的处理结果。-prepared by the use of trous (porous algorithm) to achieve wavelet transform, use 'db4' wavelet decomposition layers, which used convolution operators fft the frequency do
lpr_loc
- 我编写的基于颜色分量的汽车牌照定位识别。主要有以下几步：1 基于颜色分量的灰度值识别出车牌（基于蓝色车牌）2 从蓝色区域中识别白色的号码-prepared by the color components based on the vehicle license location identification. The following are the main steps : a component based on the color of gray values identificatio
demo_1dfdtd
- 关于FDTD的例子，是一维的，非常的精彩-on FDTD example is the one-dimensional, very exciting
mallat_algorithm
- 自编的快速小波变换mallat算法，使用‘db1’小波函数，在卷积时使用wkeep命令进行了数据截取。重构信号和原信号比较误差较小。-self fast wavelet transform Mallat algorithm, the use of 'db1' wavelet function, Convolution in the use of wkeep order the interception of data. Reconstruction of the original
first_fire
- 这是基于生物学中实际神经元动作电位产生机制而建立的神经元发火模型。-This is based on the actual biological neurons mechanism of action potentials and the establishment of neurons ignition model.
Mlb
- 用matlab实现利用统计混沌方法解决非线性系统时间序列预测的问题-achieved using Matlab using statistical methods to solve nonlinear chaotic time series forecasting system problems
qpsk-simulink
- 基于MATLAB的通信系统仿真 bpsk的仿真过程就是这样的 -MATLAB-based communications system simulation BPSK Simulation of the process is
HTK-3.3
- Hidden Markov Toolkit (HTK) 3.2.1 HTK is a toolkit for use in research into automatic speech recognition and has been developed by the Speech Vision Robotics Group at the Cambridge University Engineering Department (http://svr-www.eng.cam.ac.uk) an
gaborfilter
- matlab下gabor滤波算法,可以提取图象纹理特征的经典方法之一-under Matlab filtering algorithm can extract image texture features one of the classic methods