Performance-analysis-of-Chaotic-modulation-system

在chebfun系统中高斯求积的计算节点和权值的快速算法(the fast algorithm built in to the chebfun system for computing the nodes and weights of Gauss-Legendre quadrature.)

This M Code simulate the effects of clipping and filtering on PAPR PAPR reduction in OFDM-based wireless standard.Also the performance of BER versus SNR of original OFDM signals with PAPR reduction based on clipping and filtering schemes over AWGN channel is evaluated. The simplest and most widely used technique of PAPR reduction is to basically clip the part of signals that are outside the allowed region.Clipping methode introduces both in band distortion and out of band radiation into OFDM signals which degrades the performance including the BER and spectral efficiency.Filtering can reduce out of band radiation after clipping although it can not reduce in-band radiation distortion.However, clipping may cause some peak regrowth so that the signal after clipping and filtering will exceed the clipping level at some point.To reduce peak regrowth a repeated filtering and clipping operation can be used to obtain a desirable PAPR at a cost of computational complexity increase.

Matlab中开发的时频联合分析软件，使用的方法是短时傅立叶变换(Time frequency analysis use stft in matlab)

信源数估计MDL算法，用于阵列信号处理中信号源数目的估计(The estimation of source number by the MDL algorithm)

说明：  人脸检测matlab程序源码，附带ppt说明和运行结果说明(matlab )

这个课题设计从地球的近地轨道起飞到达谷神星预定轨道并且着陆在其表面上的一种数值方法。基于有限时间的航行纠正点火而非瞬时推力数值计算和Matlab仿真。最后可以看到空间飞行器从地球的影响球飞到谷神星的影响球的飞行轨迹。(This project explores the mathematical methods and results of designing a mission to land a spacecraft on the asteroid Ceres by beginning in an earth-centered LEO orbit and ending in an orbit prepared to land on the surface of the asteroid. Rather than assume instantaneous velocity changes, course-correcting burns of finite time are considered and analyzed using numerical methods and Matlab computation. The behavior of the spacecraft is observed inside the Earth s sphere of influence, in interplanetary space, and inside Ceres sphere of influence. )

产生右图所示图像f1(m,n)，其中图像大小为256×256，中间亮条为128 ×32，暗处=0，亮处=100。对其进行FFT： ① 同屏显示原图f1(m,n)和FFT(f1)的幅度谱图； ② 若令f2(m,n)=（-1）m+n f1(m,n)，重复以上过程，比较二者幅度 谱的异同，简述理由； ③ 若将f2(m,n)顺时针旋转90 度得到f3(m,n)，试显示FFT(f3)的幅 度谱，并与FFT(f2)的幅度谱进行比较； ④ 若将f1(m,n) 顺时针旋转90 度得到f4(m,n)，令f5(m,n)=f1(m,n)+f4(m,n)，试显 示FFT(f5)的幅度谱，并指出其与FFT(f1)和FFT(f4)的关系； ⑤ 若令f6(m,n)=f2(m,n)+f3(m,n)，试显示FFT(f6)的幅度谱，并指出其与FFT(f2)和 FFT(f3)的关系，比较FFT(f6)和FFT(f5)的幅度谱。(Generating an image f1 (m, n) shown in the figure, wherein the image size is 256 256, the intermediate light bar 128 32 0 = dark, bright Department 100. Its FFT: ① screen display picture f1 (m, n) and the FFT (f1) of the amplitude spectrum ② If so f2 (m, n) = (-1) m+n f1 (m, n), repeat The above process, comparing the amplitude spectrum of the similarities and differences between the two, brief reasons ③ If f2 (m, n) 90 degrees clockwise to get f3 (m, n), try to display FFT (f3) the amplitude spectrum and with the FFT (f2) comparing the amplitude spectrum ④ If f1 (m, n) obtained by 90 degrees clockwise f4 (m, n), so f5 (m, n) = f1 (m, n)+f4 (m, n ), try to display FFT (f5) amplitude spectrum, and pointed out its relationship with the FFT (f1) and FFT (f4) of ⑤ If so f6 (m, n) = f2 (m, n)+f3 (m, n) and try to display the FFT (f6) amplitude spectrum, and pointed out its relationship with the FFT (f2) and FFT (f3), comparing FFT (f6) and FFT (f5) amplitude spectrum.)

基于干扰协方差矩阵重构的鲁棒波束形成算法(robust Adaptive beamforming based covariance matrix Reconstructing)

a f16 fighter aircraft model

brain computer interface matlab code