搜索资源列表
hosa1
- 信号与系统基础知识包括连续信号与模型、离散信号与模型；常用信号变换包括Z变换、Chirp Z变换、FFT变换、DCT变换和Hilbert变换等；离散系统结构包括IIR、FIR和Lattice结构；IIR滤波器设计包括模拟和数字低通、高通、带通与带阻滤波器设计，以及基于冲激响应不变法和双线性Z变换法的IlR滤波器设计等；FIR滤波器设计包括基于窗函数、频率抽样法和切比雪大逼近法的FIR滤波器设计；平稳信号分析包括经典功率谱估计、基于参数模
Fourierclassicalanalyse
- 傅里叶变换和傅里叶变换的性质,周期信号和非周期信号的频谱分析,卷积和卷积定理,抽样信号的傅里叶变换和抽样定理,相关、能量谱和功率谱.-Fourier transform and Fourier transform nature, the cycle-cycle signal and the signal spectrum analysis, Convolution and convolution theorem, the samplin
bianyima
- 该程序在matlab环境下完成抽样量化编码功能（非均匀量化）。
hosa1
- 信号与系统基础知识包括连续信号与模型、离散信号与模型；常用信号变换包括Z变换、Chirp Z变换、FFT变换、DCT变换和Hilbert变换等；离散系统结构包括IIR、FIR和Lattice结构；IIR滤波器设计包括模拟和数字低通、高通、带通与带阻滤波器设计，以及基于冲激响应不变法和双线性Z变换法的IlR滤波器设计等；FIR滤波器设计包括基于窗函数、频率抽样法和切比雪大逼近法的FIR滤波器设计；平稳信号分析包括经典功率谱估计、基于参数模
Fourierclassicalanalyse
- 傅里叶变换和傅里叶变换的性质,周期信号和非周期信号的频谱分析,卷积和卷积定理,抽样信号的傅里叶变换和抽样定理,相关、能量谱和功率谱.-Fourier transform and Fourier transform nature, the cycle-cycle signal and the signal spectrum analysis, Convolution and convolution theorem, the samplin
bianyima
- 该程序在matlab环境下完成抽样量化编码功能（非均匀量化）。-err
uwt
- 基于多孔算法的非抽样小波该方法运算时间少 重构图像效果好-Trous algorithm based on the non-sampling methods of computing the wavelet reconstructed image less effective
montecarlo
- 电力系统发输电系统基于非序贯的蒙特卡罗抽样的风险评估程序-Power system and transmission system is based on non-sequential Monte Carlo sampling of the risk assessment procedures
nsct_toolbox
- 大牛的非抽样CONTOULET变换MATLAB源码 -Big cow transformation of non-sampling MATLAB source CONTOULET
non-sampling_errors
- 本文介绍了控制非抽样误差的意义，非抽样误差的来源。-This article describes the significance of control of non-sampling errors, non-sampling error sources.
Wavelet
- 使用二次样条小波的多尺度小波分解及重构算法，为非抽样小波-wavelet transform using quadratic spline wavelet filters
atrous_alg_SWT
- 在MATLAB中用非抽样小波变换也称多孔算法实现信号或图像的压缩。-In MATLAB using non-decimated wavelet transform algorithm, also known as porous signal or image compression.
absw
- 基于Burt算法的非抽样小波变换应用程序-Burt algorithm-based non-sampling wavelet transform application
db8
- 基于3次B样条小波的非抽样小波变换应用程序-B-spline wavelet-based non-sampling wavelet transform application
uwt
- 基于第二代小波的非抽样小波变换应用程序，可以用来小波转换-Non-sampling based on second generation wavelets, wavelet transform application
Undecimated-DWT
- 对Lena图先进行jpeg压缩，再对压缩后的图像分别进行小波软阈值去噪和非抽样硬阈值去噪，比较两种去噪方案，非抽样硬阈值有更好的效果。这是根据一篇外文文献来进行编程的，最后有图像对比结果。-According to the paper of OPTIMAL WAVELET THRESHOLDING FOR VARIOUS CODING SCHEMES ,I firstly compresse the Lena picture using
feichouyangxiaobofenjie
- 1.实现非抽样提升小波包三层分解 2.有效解决了小波包分解频带交错问题 3.有效输出频谱图-1 non-sampling improved wavelet packet three decomposition. Effective solution to the wavelet packet decomposition band interlacing problems. Effective output spectrogram
feichouyangswt
- 非抽样小波变换的程序，可以自己更改使用，去噪效果较好- UWT s program, you can change the use of their own, better de-noising
重抽样与自助法
- 当数据抽样于非正态分布时，如未知或混合分布、样本量过小、存在离群点、基于理论分布设计合适的统计检验过于复杂且数学上难以处理等情况，这时基于随机化和重抽样的统计方法可派上用场。(When the sampling data in non normal distribution, such as the unknown or mixed distribution, the sample size is too small, there ar
ert
- IBD算法源代码 运用matlab软件，对图像进行模糊处理，利用盲目反卷积进行去模糊化处理(The source code of IBD algorithm uses MATLAB software to fuzzy image processing and defuzzification processing by blind deconvolution)