QAM_8

说明：  视频语义检索英文论文，主要是针对交通监控视频。(a human centered multiple instance learning framework for semantic video retrieval)

本系统主要是设计一个简单的比例放大器，使小车能以指定的速度运动。采用“自下而上”，“分层”建模思想而设计的。主要包括了理论分析与设计、仿真系统的创建、仿真结果、仿真操作说明、结论等五部分。使用Matlab7.1实现(This system is mainly to design a simple proportional amplifier, so the car can be specified speed of movement. " Bottom up" and " layered" modeling idea. Include theoretical analysis and design, the creation of the simulation system, the simulation results, simulation instructions, conclusions of five parts.)

计算分段三次多项式插值的系数,计算三次样条插值函数的系数组M(Calculating the coefficients of piecewise cubic polynomial interpolation, cubic spline interpolation function calculating the coefficients M)

说明：  this is simple signal processing matlab code

说明：  分形图像压缩原始算法，包括压缩和解压。 根据Jacin的分块压缩原理(fractal image compression original algorithm, including compression and decompression. According to the sub-block Jacin compression Principle)

利用Capon, MUSIC进行窄带信号空域信号方向估计。比较分辨率性能。观察阵元数、信噪比、快拍数对估计器性能的影响。 (Using Capon, MUSIC for narrowband signal airspace signal direction estimates. Comparative resolution performance. Observe the number of array elements, signal to noise ratio, the number of snapshots on the estimator performance.)

空间平滑MUSIC算法的MATLAB程序，有详细解释，比MUSIC效果好(Spatial smoothing MUSIC algorithm MATLAB procedures are explained in detail, the effect is better than MUSIC)

用MATLAB函数fir1设计一个具有如下指标的线性相位FIR带通滤波器：阻带截止频率为0.55pi 和0.85pi，通带截止频率为0.65pi和 0.75pi，最大通带衰减为0.2dB，最小阻带衰减为42dB。分别利用下面的窗函数来设计滤波器：汉宁窗、汉明窗、布莱克曼窗。对于每种情况，给出其冲激响应系数并画出设计的滤波器的幅频响应。(Designed with a MATLAB function with the following indicators fir1 linear phase FIR band-pass filter: stopband cutoff frequency for the 0.55pi and 0.85pi, passband cutoff frequency of 0.65pi and 0.75pi, maximum passband attenuation is 0.2dB, minimum stopband attenuation of 42dB. Window functions were used to design the following filter: Hanning, Hamming window, Blackman window. For each case, given its impulse response filter coefficients and draw the design magnitude response.)

数字信号处理中Fourier变换的基本验证。本人验证过，有注释，运行良好。(Fourier transform in digital signal processing basic authentication. I verified, there are notes, running well.)

将一个512×512的lena.bmp图像进行DCT变换，对得到的DCT系数按8×8块进行分层（分三层），重组填充得到新的系数矩阵，结果发现原图像的能量集中在了新图像的左上角低频部分。(The lena.bmp an image of 512 × 512 is subjected to DCT transform, the DCT coefficients obtained by layering 8 × 8 block (of three), to obtain a new recombinant filling coefficient matrix, the energy of the original image is found concentrated in upper left corner of the low-frequency part of the new image.)