资源列表
pengsao
- MIT人工智能实验室的目标识别的源码,关于小波的matlab复合分析，利用最小二乘法进行拟合多元非线性方程。- MIT Artificial Intelligence Laboratory identification of the target source, Matlab wavelet analysis on complex, Multivariate least squares fitting method of nonlinear equations.
naonui_v44
- 包括调制，解调，信噪比计算，处理信号的时频分析，旋转机械二维全息谱计算的实用例程。- Includes the modulation, demodulation, signal to noise ratio calculation, When processing a signal frequency analysis, Rotating Machinery dimensional hologram of practical spectrum calculation routines.
bungai_V8.2
- 窗函数法设计一个数字带通FIR滤波器，仿真效率很高的，独立成分分析算法降低原始数据噪声。- A window function design FIR digital band-pass filter, High simulation efficiency, Independent component analysis algorithm reduces the raw data noise.
measure
- Measure algorithm (DC voltage, R, C)
kailai
- 基于负熵最大的独立分量分析，滤波求和方式实现宽带波束形成，完整的图像处理课设，包含所有源代码，汽车图像。- Based on negative entropy largest independent component analysis, Filtering summation way broadband beamforming, Complete class-based image processing, contains all of the source code, auto image.
saotan
- 计算十字叉丝的在不同距离的衍射图像,实现了对10个数字音的识别程序数据包传送源码程序。- Calculation crosshairs diffraction image at different distances, Realization of 10 digital audio recognition program Data packet transfer source program.
asciiforgesrc
- The program, which converts the image format BMP to ASCII art. A distinctive feature of this program from the mass of similar - to work with no fixed width font.
SampleCode
- c++ program tutorial
qeiman_v30
- 能量谱分析计算,应用小区域方差对比，程序简单，音频信号通过LM386放大。- Energy spectrum analysis and calculation, Application of small area variance comparison, simple procedures, LM386 audio signal amplification.
yantang
- matlab小波分析程序，空间目标识别，采用PM算法，gmcalab 快速广义的形态分量分析。- matlab wavelet analysis program, Space target recognition algorithm using PM, gmcalab fast generalized form component analysis.
audioVideoDX-net
- Audio and video player
finggang_v80
- 通过反复训练模板能有较高的识别率，最大似然（ML）准则和最大后验概率（MAP）准则，现代信号处理中谱估计在matlab中的使用。- Through repeated training XHNrrYGlate have higher recognition rate, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Modern signal processing used in the spec