hw_1_Markowitz_01

matlab 6.0数学手册,系统介绍了matlab在 高等数学，数值分析，线性代数，概率统计和优化理论中的应用。(matlab 6.0 mathematics manuscripts，it provided the application of matab in numerical analysis,matrix theory, probability theory and optimization theory.)

快速傅里叶变换代码 功率谱密度MATLAB代码(Fast Fourier Transform code power spectral density of MATLAB code)

输入一副图像，检测图像的RGB，并输出其值的矩阵，将符合公式R>Rt，R>G>B,S>=(255-R)*S/R,等的图像点标记出来，并输出图像(A pair of input images, the image detecting RGB, and outputs the value of the matrix, would be consistent with the formula R> Rt, R> G> B, S> = (255-R)* S/R, and other image point marked, and output image)

非参数的功率谱估计包括四个，周期图法，Blackman-Turkey,Welch-Bartell,改进的周期图法，输入信号为白噪声通过切比雪夫滤波后的信号(Non-parametric estimation of the power spectrum consists of four, periodogram, Blackman-Turkey, Welch-Bartell, improved cycle diagram method, the input signal is white noise ratio of the signal by cutting Schiff filtered)

Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse response matrix operating on a sparse excitation, as in the linear model of speech production, for recovering compressive sensed speech. Since the linear transform is signal dependent and unknown, unlike the standard CS formulation, a codebook of transfer functions is proposed in a matching pursuit (MP) framework for CS recovery. It is found that MP is efficient and effective to recover CS encoded speech as well as jointly estimate the linear model. Moderate number of CS measurements and low order sparsity estimate will result in MP converge to the same linear transform as direct VQ of the LP vector derived the original signal. There is also high positive correlation between signal domain approximation and CS measurement domain approximation for a large variety of speech spectra.

GPS坐标转换 xyz代表在wgs-84 xyz坐标系到相应的纬度 经度 wgs-84高程(GPS coordinate conversion xyz representatives wgs-84 xyz coordinate system to the corresponding latitude longitude elevation wgs-84)

内罗梅综合指数分析法Nemerow integrated index(Nemerow integrated index)

灰度图像经过二值变换和置乱预处理得到二值灰度图像(After two values of gray image scrambling transformation and binary grayscale images are pre-)

weight trajectories for two different initial conditions an step-size( variance of u, denoted by var_u, can be changed. Also, the values of the step-size, in the variable mu, and the value of the initial weight estimate, in the variable w_init, can be changed.)

matlab手册及代码 非常有借鉴价值 欢迎下载(matlab manuals and code are very welcome to download reference value)