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testBPSKVB
仿真BPSK调制在AWGN信道下分别使用卷积码和不使用卷积码的性能(Simulation BPSK modulation in AWGN channel respectively convolutional code and a convolutional code performance without)
- 2013-10-25 11:16:05下载
- 积分:1
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SSBoll
该程序实现了对语言信号的降噪。这是个有用的软件(The program language signals to achieve a noise reduction. This is a useful software)
- 2009-04-23 20:04:43下载
- 积分:1
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imnoise2
imnoise2 预加噪声 matlab code(imnoise2 pre-plus noise)
- 2012-12-31 22:25:06下载
- 积分:1
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zishiyingRLS-LMS
基于LMS算法和RLS算法的自适应滤波器设计(Based on LMS and RLS adaptive filter design)
- 2011-11-02 09:58:00下载
- 积分:1
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Matlab3
MATLAB 数值积分,包括各种积分,非常实用,例子很容易懂(MATLAB numerical integration, including integration, very practical, very easy to understand examples)
- 2014-02-27 18:55:46下载
- 积分:1
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dipole_example
用MATLAB对偶极子天线仿真,得出S曲线图(Dipole antenna with MATLAB for simulation, draw S curve)
- 2009-09-08 11:28:04下载
- 积分:1
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BPSK_Rayleigh
Bit Error Rate for BPSK Modulation in Rayleigh Channel
- 2011-01-24 16:22:01下载
- 积分:1
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Lyapunov_Terra
当计算混沌系统Lyapunov指数时,gs.m代码实现正交化
直接运行L2.m,可计算出Lyapunov指数(该代码是基于奇异值分解计算Lyapunov指数的)
(chaotic system when calculating Lyapunov exponent, gs.m code directly Orthogonalization L2.m operation, translate into Lyapunov exponent (The code is based on the singular value decomposition Lyapunov exponent))
- 2021-03-12 19:59:24下载
- 积分:1
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ASK_coherent_modu
幅频键控ASK的相干调制解调以及非相干调制解调的仿真实现,源代码中作了详细的备注,通过学习该代码能够对ASK的调制解调有更加深入的认识(Coherent amplitude and frequency shift keying ASK modulation and demodulation, and non-coherent modulation and demodulation simulation, source code made detailed notes, by learning the code to the ASK modulation and demodulation of a more in-depth understanding of)
- 2013-08-15 18:35:21下载
- 积分:1
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A-Bayesian-Adaptive-Basis-Algorithm-for-Single-Pa
Traditional single particle reconstruction methods use either the Fourier or the delta function basis to represent the particle density map. We propose a more flexible algorithm that adaptively chooses the basis based on the data. Because the basis adapts to the data, the reconstruction resolution and signal-to-noise ratio (SNR) is improved compared to a reconstruction with a fixed basis. Moreover, the algorithm automatically masks the particle, thereby separating it from the background. This eliminates the need for ad-hoc filtering or masking in the refinement loop. The algorithm is formulated in a Bayesian maximum-a-posteriori framework and uses an efficient optimization algorithm for the maximization. Evaluations using simulated and actual cryogenic electron microscopy data show resolution and SNR improvements as well as the effective masking of particle from background
- 2013-04-05 22:04:51下载
- 积分:1