| 1. | An audio compression algorithm using a wavelet packet transform
利用小波包变换实现音频压缩算法 |
| 2. | Fast implementation of long sequence wavelet transform based on matlab
的长序列快速小波变换实现 |
| 3. | Direct identification of the parameter model of continuous dynamic system using hartley transformation
变换实现连续动力学系统参数模型直接辨识 |
| 4. | The algorithm has several optional matrices , and the image can be restored through reverse transform
该算法有多个可选的矩阵，通过逆变换实现图像还原操作，攻击者想破解置乱算法是十分困难的。 |
| 5. | The image fusion methods using biorthogonal wavelet transform are given , these fusion approaches have been successfully used in image fusion
均采用双正交小波变换实现了上述图像融合方法，这些融合方法已被成功地应用于图像融合。 |
| 6. | Moreover , based on poly - phase signal processing and interpolation , a timing variable cic ( cascaded - integrator - comb ) filter based method for sampling rate conversion is analyzed
另外，结合多速率多相信号处理和nco内插控制思想，分析了时变cic内插滤波器的采样率变换实现。 |
| 7. | In the former , firstly the related knowledge of s + p inverse transform is presented . easy in implementation , good in storage space , such transform is the base of an image coding algorithm image compressing system
在第一部分中，首先介绍了s + p逆变换的原理，该变换实现简单而且变换性能较好，这是某图象压缩系统中所采用的图象编码方法的基础。 |
| 8. | The main achievements are summarized as follows : 1 . based on deeply studying the feature of the gabor transformation , a characteristic vector for describing points " feature is defined with the gabor transformation to realize feature point extraction
主要工作如下： 1 、深入研究了gabor变换的性质，利用gabor变换实现特征点的提取，并且定义了一种描述点特征的特征向量。 |
| 9. | A novel image preprocessing method by combining the deconvolution based on fourier transform with the white gaussian denosing method based on finite ridgelet transform is proposed , and then a corner detector is gotten according to the values of cornerness
提出基于傅立叶变换去模糊并结合有限离散脊波变换实现去噪的图像预处理方法，并在此基础上利用拐角测度法实现拐点检测。 |
| 10. | ( 7 ) mathematical morphology is one of the new subjects studying the structural feature of digital image morphology and fast parallel processing technique . the structural analysis and feature extraction is made by morphological transformation in object image
7 、数学形态学是研究数字影像形态结构特征与快速并行处理方法的理论，是通过对目标影像的形态变换实现结构分析和特征提取的。 |
