将子带分解技术应用于有源噪声控制。
Adaptive subband decomposition technique is applied to AANC.
建立了相应的降噪模型，推导了基于子带分解的单道、多道算法。
The FLMS algorithms for both the single channel and multi channel algorithms based on the subband structure are derived.
提出了一种基于子带分解技术的分数间隔恒模算法(FSE - CMA)的宽带均衡器结构。
Based on subband decomposition technique, a new structure of fractionally spaced constant modulus algorithm (FSE-CMA) equalizer was proposed for wideband wireless transmission.
基于小波分解，提出了一种融合算法，该算法在小波分解的子带图像中提取局部边缘信息作为融合规则，较好的实现了两幅互补皮革图像的融合。
Based on wavelet decomposition this paper presented a fusion algorithm, which extracted the local edge info in subband images as fusion rule and fused two leather images with complementarity.
为此，本文提出匹配追踪分解与子空间方法结合的方法，带噪语音信号的矢量空间可以认为由一个信号加噪声的子空间和一个纯噪声子空间构成。
To this end, this paper presents matching pursuit decomposition combines with sub-space method. The vector space of noisy speech is considered as a noisy speech space added a pure nose space.
该方法基于率失真曲线的精确理论模型，对小波分解后的不同子带提供最优的动态比特分配从而实现了小波系数的自适应量化编码，最后还实现了码率控制。
It provides optimal dynamic bit allocation for sub-bands of DWT and realizes adaptive quantization for wavelet coefficients. At last, it provides exact rate control for the coder.
基于小波多尺度分解子带主成份的特征提取法，利用小波多尺度分解子带系数图像特征。
The features extract method of MCSF based on wavelet multi-scale transform is that the image feature of coefficient sub-frequency is decomposed with 3 layer of wavelet multi-scale transform.
基于小波多尺度分解子带主成份的特征提取法，利用小波多尺度分解子带系数图像特征。
The features extract method of MCSF based on wavelet multi-scale transform is that the image feature of coefficient sub-frequency is decomposed with 3 layer of wavelet multi-scale transform.
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