Description: A new blind adaptive multiuser detection scheme based on a hybrid of Kalman filter and
subspace estimation is proposed. It is shown that the detector can be expressed as an anchored
signal in the signal subspace and the coefficients can be estimated by the Kalman filter using only
the signature waveform and the timing of the desired user.-A new blind adaptive multiuser detection s cheme based on a hybrid of the Kalman filter and subs pace estimation is proposed. It is shown that th e detector can be expressed as an anchored signa l in the signal subspace and the coefficients ca n be estimated by the Kalman filter using only th e signature waveform and the timing of the desir ed user. Platform: |
Size: 389120 |
Author:rifer |
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Description: SHA (安全Hash算法)是一种单向散列算法,可用于数字加密或数字签名,是比MD5更加安全的单向散列算法,与MD5算法一起时被应用最广泛的两种算法。-SHA (secure Hash algorithm) is a one-way hash algorithm, can be used for digital encryption or digital signature is more secure than the MD5 one-way hash algorithm, in conjunction with the MD5 algorithm was the most widely used two algorithms. Platform: |
Size: 5120 |
Author:张汉江 |
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Description: 实现文件加密解密与数字签名,主要采用RES,AES算法-Realize file encryption and decryption with digital signature, the main use of RES, AES algorithm Platform: |
Size: 786432 |
Author:adf |
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Description: 基于matlab编写的签名识别程序,导入签名图片进行识别。-A signature verification program based on matlab.
Code has been tested using Off line signature database Platform: |
Size: 22528 |
Author:吴宇航 |
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Description: 这个程序是用做笔迹鉴别的,用的是我们自己建立的一个笔迹库,如果有需要可以提供我们的笔迹库-This procedure is used to identify the handwriting, and using our own handwriting, the establishment of a library, if necessary we can provide handwriting database Platform: |
Size: 1024 |
Author:zhouqin |
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Description: Recognition of visual patterns and characters are independent of position, size, and orientation in the visual field has been the goal of much recent research. The method presented in this paper meets all these condition. An off-line signature matching system which is based on Hu moment invariant method is presented here. Signature matching uses a four - steps process. In first step the scanned or captured color images are initially converted to grey scale. Second step performs normalization and digitization of the original signature. Noise reduction (also called “smoothing” or “noise filtering”) is one of the most important processes in image processing is performed in third step and then moment invariant vectors are obtained in the last step. Signature matching system is implemented using MATLAB and ability of the system can be increased by using additional features in the input data set. Platform: |
Size: 8192 |
Author:shivshankar mishra |
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Description: 基于PCNN的特征提取,PCNN用于特征提取时,具体平移、旋转、尺度、扭曲等不变性,这正是许多年来基于内容的图像检索系统追求的目标,同时PCNN用于特征提取时,有很好的抗噪性。而且PCNN直接来自于哺乳动物视觉皮层神经的研究,具有提取图像形状,纹理,边缘的属性。用PCNN能很好地对图像进行签名,将二维的图像的特征提取成一维矢量签名。-Feature extraction of specified object is an
important preprocessing stage in machine vision
systems. In this paper, we present a novel hybrid
feature extraction method using PCNN (Pulse Coupled
Neural Network) and shape information. First, we use
PCNN firing map train to formulate object’s time
signature, then we use roundness of each firing map to
formulate object’s shape information vector, the final
feature matrix we got is combined time signature and
roundness. We take correlations as our judge criteria
in our experiments. It has been proved that the
algorithm is not sensitivity with the rotation, scaling
and translation of the object and is a useful method for
target recognition applications. Platform: |
Size: 1024 |
Author:wangxiaofei |
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Description: 数字图像盲取证技术作为一种不依赖任何预签名提取或预嵌入信息来鉴别图像真伪和来源的技术, 正逐步成为多媒
体安全领域新的研究热点,基于真实性鉴别的数字图像盲取证技术综述-Digital image forensics technology as a signature does not depend on any pre-extracted or pre-embedded information to identify the source of the image authenticity and technology, the field of multimedia security is gradually becoming a new hotspot, the authenticity of identification based on digital image forensics technology review Platform: |
Size: 1708032 |
Author:Li Tian |
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