CFRdemo
所属分类：matlab编程
开发工具：matlab
文件大小：22KB
下载次数：258
上传日期：2011-12-13 19:30:10
上 传 者：
caseychan
说明： 压缩感知matlab代码，在欠采样的条件下实现模数转换。在超宽带和频谱混叠的情况下亦可通过本软件仿真。具有较高的参考价值。
(Conventional sub-Nyquist sampling methods for analog signals exploit prior information about the spectral support. A more challenging problem is spectrum-blind sub-Nyquist sampling of multiband signals. For example, cognitive radio receivers face with this kind of problem whenever sensing the RF spectrum at their surroundings. The modulated wideband converter (MWC) is the first system for sub-Nyquist sampling, which can be realized with existing devices and handle wideband analog signals.)
文件列表:
FindNonZeroValues.m (106, 2009-06-24)
freq_recovery.m (2091, 2009-09-09)
fuse_two_channels.m (1568, 2009-08-05)
get_band_props.m (1019, 2009-07-09)
is_contained.m (151, 2009-07-10)
isolate_channel.m (4499, 2009-09-09)
MixSignal.m (170, 2009-07-10)
panel.fig (4793, 2009-08-20)
panel.m (10821, 2009-08-12)
plot_channels.m (2328, 2009-08-05)
plot_vertbars.m (304, 2009-07-28)
prepare_channels.m (1782, 2009-08-05)
recovery_loop.m (1081, 2009-08-13)
RunOMP_Unnormalized.m (1747, 2009-07-10)
sbr_system.m (7963, 2009-09-11)
apply_band_rules.m (1575, 2009-08-05)
automated_recovery.m (5137, 2009-09-11)
band_detector.m (483, 2009-07-09)
block_channels.m (1759, 2009-08-05)
calc_vd.m (734, 2009-07-10)
eig_r.m (240, 2009-07-10)
entire_system.m (126, 2009-09-11)
FilterDecimate.m (217, 2009-07-10)
This package is used to simulate Carrier Frequency Recovery for the Modulated Wideband Converter, using MATLAB.
The package includes:
- sbr_system.m
- eig_r.m
- FilterDecimate.m
- FindNonZeroValues.m
- is_contained.m
- MixSignal.m
- RunOMP_Unnormalized.m
- apply_band_rules.m
- band_detector.m
- block_channels.m
- entire_system.m
- panel.m
- panel.fig
- prepare_channels.m
- plot_channels.m
- plot_vertbars.m
- get_band_props.m
- fuse_two_channels.m
- isolate_channel.m
- freq_recovery.m
- recovery_loop.m
- calc_vd.m
Usage: Unzip the package and run entire_system.m .
The package is based on the following papers.
1. M. Mishali, Y. C. Eldar and J. A. Tropp, "Efficient Sampling and Stable Reconstruction of Wide Band Sparse Analog Signals", Proc. of IEEEI, 25th convention, pp. 290-294, Dec. 2008
2. M. Mishali and Y. C. Eldar, "From Theory to Practice: Sub-Nyquist Sampling of Sparse Wideband Analog Signals", arXiv 0902.4291; submitted to IEEE Selected Topics on Signal Processing, Feb. 2009
3. M. Mishali, A. Elron and Y. C. Eldar, "Sub-Nyquist processing with the modulated wideband converter", submitted to the International Conference on Audio, Speech and Signal Processing (ICASSP 2010), Dallas, TX.
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