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raw_bmp
raw图像格式与bmp图像格式的转换,matlab实现,具体参数详见m文件(raw image format and bmp image format conversion, implementate by matlab, the specific parameters detailed in m file)
- 2009-03-24 19:50:57下载
- 积分:1
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dsp-project-final
SILICON WAFER DEFECT DETECTION
An automated system developed for defect analysis and reporting of defects in a semiconductor wafer
- 2011-09-10 09:53:16下载
- 积分:1
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2PAM_SV_C_100M
主要自己写的,基于SV-C多径信道,设计传输速率100Mbps,借用了几个别人的函数。()
- 2007-07-28 19:53:17下载
- 积分:1
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my_method
一种新的方法,可以自动对两幅图像进行刚性配准。采用matlab和c++混编,速度得到一定的提高。(Rigid body 2-D image co-registration (translation and rotation) is performed using maximization of mutual information. )
- 2009-03-13 15:27:56下载
- 积分:1
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feature.dr
【无人驾驶传感器之64线激光雷达】
velodyne hdl64es2 64线激光雷达点云数据处理之雷达返回值与转角关系([64 line laser radar sensor of the unmanned] velodyne hdl64es2 64 lines lidar point cloud radar data processing of the return value and the angular relationship)
- 2013-12-02 14:12:28下载
- 积分:1
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taoyen_V4.5
信号处理中的旋转不变子空间法,各种资源分配算法实现,FIR 底通和带通滤波器和IIR 底通和带通滤波器。( Signal Processing ESPRIT method, Various resource allocation algorithm, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter.)
- 2016-12-28 23:03:21下载
- 积分:1
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OFDMconcerMATLABsimuliksystem
基于simulink的OFDM的仿真的例子,和大家分享(Based on the OFDM simulink simulation examples to share)
- 2010-05-26 08:51:50下载
- 积分:1
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PAPR
simulation scripts for PAPR reduction
- 2011-10-23 05:41:10下载
- 积分:1
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gpuKit
graphic processing unit kit for matlab
- 2011-11-09 00:41:14下载
- 积分:1
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NFEA
张量分解提取生物学特征,NFEA: Tensor Toolbox for Feature
Extraction and Applications(
Data in modern applications such as BCI based on EEG signals often contain multi-modes due to
mechanism of data recording, e.g. signals recorded by multiple-sensors (electrodes), in multiple trials,
epochs, for multiple subjects and with different tasks, conditions. Moreover, during processing and
analysis, dimensionality of the data could be augmented due to expression of the data into sparse
domain (time-frequency representation) by different transforms such as STFT, wavelets. That means
data itself is naturally a tensor, and has multilinear structures. Standard approaches which analyze
such data by considering them as vectors or matrices might be not suitable due to risk of losing the
covariance information among various modes. To discover hidden multilinear structures, features
within the data, the analysis tools should reflect the multi-dimensional structure of the data)
- 2020-07-21 16:48:45下载
- 积分:1