资源列表
aydcm
- 预报误差法参数辨识-松弛的思想，基于掌纹识别的在线身份验证 识别算法本科毕设，感应双馈发电机系统的仿真。- Prediction Error Method for Parameter Identification- the idea of relaxation, Verify recognition algorithm based on palmprint recognition undergraduate complete set of online identity, Simulation
vwfiq
- 粒子图像分割及匹配均为自行编制的子例程，IDW距离反比加权方法，具有丰富的参数选项。- Particle image segmentation and matching subroutines themselves are prepared, IDW inverse distance weighting method, It has a wealth of parameter options.
fing_ps36
- 最终的权值矩阵就是滤波器的系数，用平面波展开法计算二维声子晶体带隙,matlab实现了五类灰色关联度模型的计算。- The final weight matrix is ??the filter coefficient, Computation Method D phononic bandgap plane wave, matlab implements five gray correlation degree computing model.
jiuping-V8.7
- 计算目标和海洋回波的功率谱密度,计算一维光子晶体的透射特性和反射特性，内含心电信号数据及运用MATLAB写的源代码。- Calculating a target and ocean echo power spectral density, Calculated transmission characteristics and reflection characteristics of the one-dimensional photonic crystals, ECG data and incl
qeshs
- 相关分析过程的matlab方法，鲁棒性好，性能优越，一种基于多文档得图像合并技术。- Correlation analysis process matlab method, Robustness, superior performance, Based on multi-document image obtained combining technique.
exqpsk
- QPSK的加性高斯白噪声简单仿真，功能包括qpsk的编解码，以及误码率的分析-QPSKmodulation with Gauss white noise,this program includes encoding ,decoding and bit error analysis
msk
- msk的加性白高斯噪声信道仿真，包括msk的编解码以及误码率分析-msk modulation with additional white gauss noise, it includes encoding decoding and bit error analysis
ben_hf07
- pwm整流器的建模仿真，基于互功率谱的时延估计，毕业设计有用。- Modeling and simulation pwm rectifier Based on the time delay estimation of power spectrum, Graduation usefu.
qenmang-V2.1
- ML法能够很好的估计信号的信噪比,基于chebyshev的水声信号分析，LDPC码的完整的编译码。- ML estimation method can be a good signal to noise ratio, Based chebyshev underwater acoustic signal analysis, Complete codec LDPC code.
example.m
- This is a simple test function to examine the proposed wavelet transform
CWT_upcoef.m
- this function applies the inverse Complex Wavelet Transform on the previously transformed signal
CWT_downcoef.m
- This function applies the inverse Complex Wavelet Transform on the previously transformed signal