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Molgedey and Schouster
- The Molgedey and Schuster decorrelation algorithm, having square mixing matrix and no noise . Truncation is used for the time shifted matrix, and it is forced to be symmetric . The delay Tau is estimated . The number of independent components ar
GraphicFiltering
- 其功能是实现对原来含有噪音等的图象经中值滤波后还原其初始面目.其中含有原始被干扰的图象后还原后的图象以及C代码-its function is to contain the original image noise by the median filter after its initial reduction features. Containing the original before they were jamming the image after image of the reduc
srad
- SRAD filetr for speckle reduction .This filter is a variant of anisotropic diffusion which successfully removes speckle type noise from images.
icaML
- he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The
icaMF
- ICA算法The algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The
DCT
- 基于Matlab GUI的图像的DCT，自由调节压缩率，计算峰值信噪比，并图形化对比还原图像-Matlab GUI for image-based DCT, freely adjust compression rates, the peak signal to noise ratio, and reduction of image contrast graphic
Sigma_Delta
- A novel met hod t o p artially compensate sigma2delta shap ed noise is p rop osed. By injecting t he comp en2 sation cur rent int o t he p assive loop f ilte r during t he delay time of t he p hase f requency detect or ( PFD) , a maximum reductio
CMOS_Low_PhaseNoise971103
- RF CMOS Low-Phase-Noise LC Oscillator Through Memory Reduction Tail Transistor
TURBOCODEAPPTOIMAGETRANSMISSION
- Simulations over AWGN and Rayleigh channels, at various signal-to-noise ratios, verify the excellent performance of this novel APEL-turbo scheme. Performance comparisons were carried out between turbo coded APEL, JPEG, and BMP image files. To provi
coding
- 此代码是在保持信噪比的情况下，进一步提高了压缩比。灰度级的减少，势必会降低信噪比，但因为是处以比较小的整数，并没有引起熵值的剧烈变化，编码后信噪比基本不变。-This code is to maintain the signal to noise ratio of the case, to further improve the compression ratio. Gray-scale reduction, will inevitably reduce the signal to noise
musicdsp
- musicdsp source code archive-Analysis Beat Detector Class Coefficients for Daubechies wavelets 1-38 DFT Envelope detector Envelope Detector class (C++) Envelope follower with different attack and release Fast in-place Walsh-Hadamard Tra
ussrcepc_proposal
- Ultrasound Speckle Reduction Using Coded Excitation and Pulse Compression Ultrasound images are riddled with system dependent imperfections called speckle (multiplicative noise). In ultrasonic imaging, detection of small lesions could be difficu
LDO
- 收集的9篇关于LDO的研究生学位论文 1、LDO线性恒流型高亮度LED驱动的研究与设计 2、大电流_高稳定性LDO线性电源芯片的设计和实现 3、带有双电子开关的LDO电源管理芯片的设计 4、高精度_低噪声LDO线性调整器的设计 5、基于单片DC_DC的LDO设计 6、集成于GPS射频芯片的LDO设计 7、具有LDO模式的电流模同步降压型稳压器芯片XD1112设计 8、利用Verilog_A对LDO_Charg_省略_自动切换电源管理芯片的Top_ 9、一种基于
noisex-92噪声库
- 各个语音研究中，几个比较有代表性的噪声，从而便与研究语音降噪性能。(n each speech research, several representative noises can be used to study the performance of speech noise reduction.)
降噪自编码
- 训练降噪自编码，运用降噪自编码器完成数据的特征提取和分类，可应用于图像识别。(examinationTraining noise reduction self coding, using noise reduction self coding to complete data feature extraction and classification, can be applied to image recognition.)
Wiener02
- 维纳滤波算法，可以实现对语音信号的降噪，效果还可以(Wiener filtering algorithm, it can achieve noise reduction on speech signals)
Python机器视觉编程
- 《Python计算机视觉编程》是计算机视觉编程的实践指南，依赖Python语言讲解了基础理论与算法，并通过大量示例细致分析了对象识别、基于内容的图像搜索、光学字符识别、光流法、跟踪、三维重建、立体成像、增强现实、姿态估计、全景创建、图像分割、降噪、图像分组等技术。另外，书中附带的练习还能让读者巩固并学会应用编程知识。("Python Computer Vision Programming" is a practical guide to computer vision pro
RLS
- 基于RLS算法的多麦克风降噪 把主麦克风语音信号降噪，还原为原始音频信号(Multi microphone noise reduction based on RLS algorithm)
NLMS
- 语音降噪经典算法NLMS最小均方算法MATLAB程序(Speech noise reduction classical algorithm NLMS minimum mean square algorithm MATLAB program)
Deterministic Message Passing Algorithm SCMA in NOMA 5G
- Being an effective non-orthogonal multiple access (NOMA) technique, sparse code multiple access (SCMA) is promising for future wireless communication. Compared with orthogonal techniques, SCMA enjoys higher overloading tolerance and lower complexity